JP2014075000A - Processing data consistent generation device, processing data consistent generation program, and processing data consistent generation method - Google Patents

Abstract

PROBLEM TO BE SOLVED: To automatically and consistently generate processing data by determining an optimum processing direction and using CAD data as input data in indexing five-axial processing.SOLUTION: Processing data generation means 20 extracts shape features of a region to be processed as normal-place features, generates subordinate features linked to the normal position features, and generates processing specifications by the subordinate features. Processing step determination means 21 determines partial processing steps by the subordinate features. Processing data generation means 20 generates partial processing data by the subordinate features. Processing direction determination means 24 calculates processing efficiencies by the subordinate features, and determines an optimum subordinate feature, an optimum processing coordinate system, and an optimum processing direction having the highest processing efficiency among the features. The processing data generation means 20 generates integrated processing data for processing all optimum subordinate features successively.

Description

  The present invention relates to a machining data consistent generation device for generating machining data for machining by a machining center or the like. In particular, the present invention relates to indexing 5-axis machining in a 5- to 5-axis machining center having a 5-face machining machine and a table turning function.

  Traditionally, machining data (also referred to as “NC (Numerical Control) data”. In the following, it is unified with “machining data”). It was decided. Furthermore, while performing interactive processing using a commercially available CAM system, a tool movement path (machining path) necessary for machining is calculated to generate machining data.

  In this work, first, geometric data of a product (processed product) created by CAD is sent to the CAM system. In the CAM system, an operator generates machining data by interactive processing while looking at product geometry data. In this process, a person designates each machining part while looking at the geometric shape data on the screen, and decides the machining process of the machining part by thinking and error. The machining process determined here includes the number of processes, the form of a tool used in each process, and a tooling form that is a combination of a tool and a holder (such as a chuck for holding a tool). Then, processing data for each processing site is interactively generated sequentially based on the determined processing process.

  In addition, in order to support the determination of the machining process, which is human thought work, the machining process corresponding to the shape characteristics of the machining site and the tools used in each process are registered in advance in the CAM system. There has been proposed a method of assigning a machining process and a tool to be used according to the shape feature. In this case, it is necessary to extract the shape feature of the processed part from the geometric shape data of the product. In addition to the case where the operator specifies interactively on the CAM system, the shape is not available in some CAM systems. An automatic feature extraction function is also being added. Patent Documents 1 to 4 and Non-Patent Documents 1 and 2 generally correspond to this method.

Japanese Patent Laid-Open No. 10-230436 JP 2009-274160 A JP 2010-27018 A JP 2008-149382 A

http://www.machinesol.jp/solution/proglesys1.html (searched on September 28, 2012) Journal of Japan Society for Precision Engineering Vol.73 No.4-5,2007 “Study on process design focusing on the dependence of machining shape characteristics (1st-3rd reports)”

  Furthermore, in recent years, not only machining with a 3-axis control machining center, but also a large number of machining with a 5-sided machine with an L-shaped attachment, a horizontal machining center with a B-axis turning function, and a 5-axis control machining center. It has come to be. In such a processing machine, a lot of processing called index 5-axis processing is performed. Indexing 5-axis machining is not machining that moves the 5 axes simultaneously, but uses the swivel axis as an indexing function to obtain a specific tool posture. Triaxial machining using a dynamic axis is performed. In such indexing 5-axis machining, the degree of freedom of the tool posture increases, and the degree of freedom in which one machining site can be machined freely from a plurality of directions is generated. A general problem in this case is to obtain a guide as to which direction the machining is most efficient from. Therefore, in the determination of the machining process, a new problem arises that it is necessary to determine the optimum machining direction. The determination of the optimum machining direction is a difficult thinking task even for a skilled person, and it is very difficult to find the optimum machining direction in advance by logical means.

  Further, the index 5-axis machining also has the same problems as the 3-axis control machining center machining. For example, since tooling has been determined by predicting interference by a person, interference and processing residue frequently occur during processing path calculation, and there is a problem that trial and error and backtracking occur. In addition, because the cutting conditions were previously registered for the tool, there was a problem that the cutting conditions were not determined in consideration of the overall tooling including the protruding length of the tool and the form of the holder. . In addition, since a series of machining data generation using the CAM system is performed by interactive processing, there is a problem that a person must be resident in the CAM system, which requires constant manpower and consumes many man-hours. It was. Therefore, the machining process determination function, the tool determination function used in each process, the tooling determination function, and the cutting condition determination function are intermittent operations through the operator's dialogue processing, and even if viewed from the data flow Since it is discontinuous, there has been a demand for an integrated machining data generation apparatus that organically couples functions and automatically generates machining data as a whole using CAD data as input data.

  The present invention has been made in view of the above-described problems. The object of the present invention is to determine an optimum machining direction in indexing 5-axis machining and to process the machining data at once using CAD data as input data. It is to provide a machining data consistent generation device and the like that are automatically generated through the process.

  According to a first aspect of the present invention for achieving the above object, there is provided an input means for inputting shape data before processing of a processed product, shape data after processing of the processed product, and data of a processing machine to be used, and the processing Post-position data is placed in an arbitrary position coordinate system, the shape feature of the part to be processed in the position coordinate system is recognized, and the position feature extraction means for extracting each of the shape features as a position feature; Arbitrary one or a plurality of machining coordinate systems are set, the orthographic features are individually arranged in the machining coordinate systems, and the shape features are expressed in the machining coordinate system. By generating a dependent feature, and by linking the orthographic feature as a parent to the dependent feature, the orthographic feature in each of the processing coordinate systems Subordinate feature generating means for generating the linked subordinate features, processing specification generating means for generating processing parameters for each of the dependent features based on the pre-processing shape data and the post-processing shape data, A machining process determining means for determining a partial machining process that is a machining process for each subordinate feature belonging to the machining coordinate system, and a tool according to the tool shape for each subordinate feature based on the partial machining process and the post-machining shape data. A partial machining data generating means for generating partial machining data that is machining data for each dependent feature, and supporting the tool and the tool for each dependent feature based on the partial machining data The rigidity of the tooling that is a combination of holders is estimated, and the condition is that no interference occurs. Tooling determining means for determining a tooling, cutting condition determining means for determining a cutting condition for each subordinate feature based on the tooling, and calculating a machining efficiency for each subordinate feature for which the tooling and the cutting condition are determined After that, all the dependent features are gathered under the parent orthoped feature beyond the processing coordinate system frame, and the highest machining efficiency among the subordinate features collected for each orthoped feature. The dependent feature is defined as an optimal dependent feature of the orthographic feature as a parent, the machining coordinate system to which the optimal dependent feature belongs is defined as an optimal machining coordinate system of the orthographic feature as a parent, and the optimal machining coordinate system A machining direction determining means for determining a tool axis direction at the optimum machining direction of the in-place feature, and the optimum subordinate The cutting condition is given to the partial machining data relating to a feature, the partial machining data relating to the optimum dependent feature is collected for each machining coordinate system, saved from the optimum dependent feature to be processed in advance, and processed immediately thereafter. Integrated machining data which is machining data for machining all the optimum dependent features in each machining coordinate system by sequentially determining the movement path of the tool until reaching the optimum dependent feature An integrated machining data generation means for generating a machining data consistent generation device.

  In the first invention, the in-place feature extracting unit generates shape data of the processing removal unit as a difference between both by subtracting the post-processing shape data from the pre-processing shape data, and the processing removal unit Shape data may be installed in any of the above-described normal coordinate systems, the shape feature of the region to be processed in the normal coordinate system may be recognized, and the shape feature may be extracted as a three-dimensional corrective feature. . The first invention further comprises storage means for preliminarily storing one or a plurality of table information defining rules for determining the machining step based on the machining specifications for each of the dependent features, The processing step determining means may determine the partial processing step by referring to one or a plurality of the table information based on the processing machine data and the processing specifications for each dependent feature. . Further, the table information in the first invention includes a rule for determining the partial processing step based on finish information indicating a finish state of the subordinate feature. In addition, the finishing information of the in-placed feature is given to the in-placed feature, and the dependent feature generation unit inherits the finishing information given to the in-placed feature to the dependent feature, and the processing features The element generation means generates the machining specifications for each of the subordinate features to which the finishing information is added, and the machining step determination means is based on the data of the processing machine and the machining specifications for the subordinate features. The partial machining step may be determined with reference to one or a plurality of the table information.

  Further, the machining direction determining means in the first invention has the highest machining efficiency for the dependent feature from which the tooling having the highest rigidity is obtained based on the rigidity of the tooling estimated by the tooling determining means. You may make it judge. Further, the machining direction determining means in the first invention estimates the moving distance of the tool from the partial machining data generated for each subordinate feature, and further estimates the machining time based on the moving speed of the tool. The dependent features estimated to have the shortest processing time may be determined to have the highest processing efficiency. Further, the cutting condition determining means according to the first aspect of the invention is characterized in that the tooling determined by the tooling determining means is based on the rigidity of the tooling estimated by the tooling determining means and is highly efficient corresponding to the rigidity. Cutting conditions may be determined.

  Further, the subordinate feature generating means in the first invention sets the machining coordinate system based on a controllable movement axis for the machining machine to be used, and similarly the tool axis direction in the machining coordinate system. You may make it set. In addition, the dependent feature generating means in the first aspect of the invention can easily identify the dependent feature by giving information representing the feature of the processing coordinate system in which the in-place feature is arranged and converting the information into the dependent feature. You may make it do. The shape data before processing in the first invention may include information on a fixing jig installed to fix the processed product.

  According to a second aspect of the present invention, a computer is used to input pre-processing shape data of a processed product, target post-processing shape data of the processed product, and data of a processing machine to be used. Arrangement feature extracting means arranged in an in-place coordinate system, recognizing a shape feature of a part to be processed in the in-place coordinate system, and extracting each of the shape features as an in-place feature, any one or more Dependent features by setting a processing coordinate system, placing the in-place features individually in each of the processing coordinate systems, and converting the in-place features into representations of the shape features specific to the processing coordinate system And linking the orthographic feature as a parent to the dependent feature before Subordinate feature generating means for generating subordinate features, processing specification generating means for generating processing specifications for each of the subordinate features based on the pre-processing shape data and the post-processing shape data, the individual belonging to the processing coordinate system Based on processing step determination means for determining a partial processing step that is a processing step for each subordinate feature, the partial processing step and the post-processing shape data, a tool movement path is calculated for each subordinate feature by a tool shape, Partial machining data generating means for generating partial machining data that is machining data for each dependent feature, and based on the partial machining data, the rigidity of tooling that is a combination of the tool and the holder that supports the tool is determined for each dependent feature. A tool that determines and determines the tooling on condition that no interference occurs. A cutting condition determining means for determining a cutting condition for each of the subordinate features based on the tooling, and calculating a machining efficiency for each of the subordinate features for which the tooling and the cutting conditions are determined. Subordinate features are gathered under the parent orthoped feature beyond the processing coordinate system frame, and the subordinate feature having the highest machining efficiency among the subordinate features collected for each orthoped feature is the parent feature. And the machining coordinate system to which the optimum dependent feature belongs is defined as the optimum machining coordinate system of the orthographic feature serving as a parent, and the tool axis direction in the optimum machining coordinate system is defined as the tool axis direction in the optimum machining coordinate system. A machining direction determining means for determining an optimum machining direction of the in-place feature, and the partial machining data relating to the optimum dependent feature The cutting condition is given to the data, the partial machining data related to the optimum dependent feature is collected for each machining coordinate system, the optimum dependent feature to be processed in advance is saved, and the optimum dependent feature to be processed immediately after is saved Integrated machining for generating integrated machining data, which is machining data for continuously machining all the optimum subordinate features in each of the machining coordinate systems, by sequentially determining the movement path of the tool until reaching This is a machining data consistent generation program for functioning as data generation means.

  According to a third aspect of the present invention, there is provided an input step of inputting shape data before processing of a processed product, target shape data of the processed product, and data of a processing machine to be used, and the post-processing shape data is arbitrarily placed Arrangement feature extraction step of arranging in the coordinate system, recognizing the shape feature of the part to be machined in the orthographic coordinate system, and extracting each of the shape features as the orthoposition feature, and any one or more processing By setting a coordinate system, placing the in-place features individually in each of the processing coordinate systems, and converting the in-place features into the form feature representation specific to the processing coordinate system. Generating and associating the orthographic feature with the dependent feature as a parent, the slave associated with the orthographic feature in each of the processing coordinate systems. A subordinate feature generating step for generating a feature, a processing specification generating step for generating processing specifications for each of the subordinate features based on the pre-processing shape data and the post-processing shape data, and belonging to each of the processing coordinate systems Based on the machining step determination step that determines a machining step for each subordinate feature and the partial machining step and the post-machining shape data, a tool movement path is calculated based on the tool shape for each subordinate feature. , A partial machining data generation step for generating partial machining data that is machining data for each subordinate feature, and tooling that is a combination of the tool and a holder that supports the tool for each subordinate feature based on the partial machining data The rigidity of the tool is estimated, provided that no interference occurs. A tooling determining step for determining the cutting, a cutting condition determining step for determining a cutting condition for each of the subordinate features based on the tooling, and a machining efficiency for each of the subordinate features for which the tooling and the cutting conditions are determined. After that, all the dependent features are gathered under the parent orthoped feature beyond the processing coordinate system frame, and the highest machining efficiency among the subordinate features collected for each orthoped feature. The dependent feature is defined as an optimal dependent feature of the orthographic feature as a parent, the machining coordinate system to which the optimal dependent feature belongs is defined as an optimal machining coordinate system of the orthographic feature as a parent, and the optimal machining coordinate system A machining direction determining step for determining a tool axis direction at the optimal machining direction of the in-place feature; and Immediately after giving the cutting condition to the partial machining data related to the optimal dependent feature, collecting the partial machining data related to the optimal dependent feature for each machining coordinate system, and evacuating from the optimal dependent feature to be processed in advance. Integration of machining data for successively machining all the optimum dependent features in each machining coordinate system by sequentially determining the movement path of the tool until reaching the optimum dependent feature to be machined And an integrated machining data generation step for generating machining data.

  According to the present invention, it is possible to provide an apparatus for consistently generating machining data and the like that automatically determines machining data as a whole through CAD data as input data while determining an optimum machining direction in indexing 5-axis machining. .

The figure which shows the hardware structural example of the process data consistent production | generation apparatus 1 The figure which shows the 1st example of the software structure of the process data consistent production | generation apparatus 1 The figure which shows the 2nd example of the software configuration of the process data consistent generation apparatus 1 The figure which shows the structural example of the integrated database 25 The figure which shows an example of the basic feature group 31 The figure which shows an example of the process specification 32 The figure which shows an example of the process mode table 33 The figure which shows an example of the cutting mode table 34 The figure which shows an example of the application tool group table 35 The figure which shows an example of the tool operation mode table 36 The flowchart which shows the detail of a process of the manufacturing process determination means 21 The figure which shows an example of the partial process data 37 The flowchart which shows the detail of a process of the tooling determination means 22 Diagram explaining the optimal tooling decision method The flowchart which shows the detail of a process of the cutting condition determination means 23 The flowchart which shows the detail of a process of the process direction determination means 24 The flowchart which shows the detail of a process of the process data production | generation means 20

  Hereinafter, embodiments of the present invention will be described in detail with reference to the drawings. Each means included in the machining data consistent generation apparatus 1 of the present invention is realized by installing dedicated software in a computer.

  FIG. 1 is a diagram illustrating a hardware configuration example of the machining data consistent generation apparatus 1. The hardware configuration shown in FIG. 1 is an example, and various configurations can be adopted depending on applications and purposes.

  The machining data consistent generation apparatus 1 includes a control unit 11, a storage unit 12, a media input / output unit 13, a communication control unit 14, an input unit 15, a display unit 16, a peripheral device I / F unit 17 and the like via a bus 18. Connected.

  The control unit 11 includes a CPU (Central Processing Unit), a ROM (Read Only Memory), a RAM (Random Access Memory), and the like.

  The CPU calls a program stored in the storage unit 12, ROM, recording medium or the like to a work memory area on the RAM, executes it, drives and controls each device connected via the bus 18, and generates a consistent machining data generation device. 1 to realize the later-described processing. The ROM is a non-volatile memory, and permanently stores a boot program, a program such as BIOS, data, and the like of the machining data consistent generation device 1. The RAM is a volatile memory, and temporarily stores programs, data, and the like loaded from the storage unit 12, ROM, recording medium, and the like, and includes a work area used by the control unit 11 for performing various processes.

  The storage unit 12 is an HDD (hard disk drive) or the like, and stores a program executed by the control unit 11, data necessary for program execution, an OS (operating system), and the like. As for the program, a control program corresponding to an OS (operating system) and an application program for causing the machining data consistent generation apparatus 1 to execute processing described later are stored. Each of these program codes is read by the control unit 11 as necessary, transferred to the RAM, read by the CPU, and executed as various means.

  The media input / output unit 13 (drive device) inputs / outputs data, for example, media such as a CD drive (-ROM, -R, -RW, etc.), DVD drive (-ROM, -R, -RW, etc.) Has input / output devices. The communication control unit 14 includes a communication control device, a communication port, and the like, and is a communication interface that mediates communication between the machining data consistent generation device 1 and the network. Control communication. The network may be wired or wireless.

  The input unit 15 inputs data and includes, for example, a keyboard, a pointing device such as a mouse, and an input device such as a numeric keypad. An operation instruction, an operation instruction, data input, and the like can be performed on the machining data consistent generation apparatus 1 via the input unit 15. The display unit 16 includes a display device such as a liquid crystal panel, and a logic circuit or the like (video adapter or the like) for realizing the video function of the processed data consistent generation device 1 in cooperation with the display device. The input unit 15 and the display unit 16 may be integrated like a touch panel display.

  The peripheral device I / F (interface) unit 17 is a port for connecting a peripheral device to the machining data consistent generation device 1, and the machining data consistent generation device 1 is connected to the peripheral device via the peripheral device I / F unit 17. Send and receive data. The peripheral device I / F unit 17 is configured by USB, IEEE 1394, RS-232C, or the like, and usually includes a plurality of peripheral devices I / F. The connection form with the peripheral device may be wired or wireless. The bus 18 is a path that mediates transmission / reception of control signals, data signals, and the like between the devices.

  2A and 2B are diagrams illustrating a first example and a second example of the software configuration of the machining data consistent generation device 1. FIG. As shown in FIG. 2A, for example, the machining data consistent generation apparatus 1 includes a machining data generation unit 20, a machining process determination unit 21, a tooling determination unit 22, a cutting condition determination unit 23, a machining direction determination unit 24, an integrated database 25, and the like. It comprises. In the example shown in FIG. 2A, a commercially available general purpose CAM system is used. When a commercially available general-purpose CAM system is not utilized, as shown in FIG. 2B, the machining data consistent generation apparatus 1 includes an input unit 201, an in-place feature extraction unit 203, a subordinate feature generation unit 204, a processing specification generation unit 205, a processing A process determining means 21, a partial machining data generating means 206, a tooling determining means 22, a cutting condition determining means 23, a machining direction determining means 24, an integrated machining data generating means 207 and the like are provided. Below, based on FIG. 2A, the function of the process data consistent production | generation apparatus 1 is demonstrated.

  The integrated database 25 includes a construction method database 26, an equipment database 27, and the like. The integrated database 25 includes one or a plurality of tables that define rules for determining a machining process based on machining characteristics of shape features. A configuration example of the integrated database 25 is shown in FIG. 3 (details will be described later). Further, the machining data consistent generation apparatus 1 may include a product shape design unit 28, a fixing jig setting unit 29, and the like corresponding to a commercially available general-purpose CAD system, as necessary.

  In the machining data consistent generation apparatus 1, when the dedicated software is installed in a general-purpose computer, the control unit 11 causes the machining data generation means 20, the machining process determination means 21, the tooling determination means 22, and the cutting condition determination means 23. , Function as the processing direction determination means 24, product shape design means 28, and fixture setting means 29, and the storage unit 12 and the external storage device function as the integrated database 25.

  Note that the machining data generation means 20 includes a plurality of various means when functionally considered. As will be described in detail later, the processing data generation unit 20 includes an in-place feature extraction unit 203, a subordinate feature generation unit 204, a processing specification generation unit 205, a partial processing data generation unit 206, an integrated processing data generation unit 207, and the like.

  For example, consider a case where the machining data consistent generation apparatus 1 is realized by a plurality of computers. The product shape designed by the product shape design means 28 of the first computer is processed data generation means of the second computer in order to generate processing data for general shape processing such as a plane as product shape data. 20 through the input means 201 (for example, the media input / output unit 13, the communication control unit 14, the input unit 15, the peripheral device I / F unit 17, etc.) of the second computer.

  In addition, if necessary, the product shape is converted into a predetermined input / output format such as IGES (Initial Graphics Exchange Specification) or STEP (Standard for The Exchange of Product model data), and then converted into a data format. Sometimes.

  Further, for example, consider a case where the machining data consistent generation apparatus 1 is realized by a single computer. The product shape designed by the product shape design unit 28 is transferred to the machining data generation unit 20 as product shape data, for example, held in the RAM or the storage unit 12.

  After the product shape data is input or delivered, the processing data generation means 20 includes input means (for example, media input / output unit 13, communication control unit 14, input unit 15, peripheral device I / F unit). 17), the shape specification and material of the material, and the name of the processing machine used for processing are input.

  Here, as the shape specification of the material, for example, in the case of a block material, the size specification is input, and in the case of a casting material or the like, the thickness amount added from the product shape is input. As the material of the material, for example, a material name such as cast iron or a predetermined material symbol is input. Further, as the processing machine name, for example, one of the processing machine names set in advance in the processing machine table of the integrated database 25 is input. The input means 201 for inputting the shape specifications and materials of these materials and the name of the processing machine is, for example, entered by a user using the input unit 15 such as a mouse or a keyboard, or collectively written in a file, There is a case where input is performed via the input / output unit 13, the communication control unit 14, the input unit 15, the peripheral device I / F unit 17, and the like. Moreover, it may be stored in the storage unit 12 in advance.

  First, the processing data generation means 20 generates material shape data based on the input material shape specifications. At this time, when the shape specification of the material is designated as the thickness from the product shape, the product shape data is also referred to. Further, the processing data generation unit 20 may include the material shape generation unit 202, and the material shape generation unit 202 may generate the material shape data. Further, after generating the material shape data, the fixing jig setting means 29 may set a fixing jig for fixing the material to the table of the processing machine. The fixing jig setting means 29 sets the fixing jig based on the shape of the fixing jig registered in advance and the installation position input by the user using the input unit 15.

  Next, the processing data generation means 20 is assumed to include an in-place feature extraction means 203 and a subordinate feature generation means 204, assuming an index 5-axis machining using a 5-face machining machine or a 5-axis machining machine having a turning axis. Start sequentially.

  First, the in-place feature extraction unit 203 (process data generation unit 20) quotes the product shape data and places it in an arbitrary on-board coordinate system, and each on-board feature in this on-board coordinate system. Extract. Here, the feature (also referred to as “shape feature”) is a unit that is configured by one or a plurality of surfaces and is recognized as a processing site with a shape feature. The in-place feature extracting unit 203 searches for basic features as shown in FIG. 4 defined in advance in the product shape, recognizes the feature type, shape specifications, reference point position, reference axis direction, etc. By recognizing the required surface roughness and required accuracy (shape accuracy and dimensional accuracy) of each surface constituting the feature, an in-place feature is extracted.

  The in-place feature extraction unit 203 subtracts the product shape data from the material shape data generated by the material shape generation unit 202 to generate the shape data of the processing removal unit as the difference between the two. A three-dimensional in-place feature may be extracted from the shape data of the removal unit. In this case, the extracted three-dimensional regular feature is one solid area recognized as a processing removal unit with a shape characteristic, and is positioned as a shape feature of the processing removal unit. The three-dimensional in-place feature extracted in this way can be handled in the subsequent processing in the same manner as the in-place feature extracted from the product shape.

  The dependent feature generation unit 204 (processing data generation unit 20) sets an arbitrary one or a plurality of processing coordinate systems. Next, the dependent feature generation unit 204 further sets a tool axis of this machining coordinate system. Next, the dependent feature generation unit 204 arranges the normal feature extracted by the normal feature extraction unit 203 in each set processing coordinate system. Next, the dependent feature generation unit 204 converts the in-placed feature arranged in each processing coordinate system into a form expressed as a shape feature for each processing coordinate system, thereby converting the dependent feature for each processing coordinate system. Generate. Then, the dependent feature generation unit 204 associates the orthographic feature as a parent with the generated dependent feature for each processing coordinate system.

  Then, the processing specification generation unit 205 (processing data generation unit 20) generates a processing specification 32 for each subordinate feature as shown in FIG. 5 from the extracted subordinate feature information, and uses this processing step determination unit. Deliver to 21. Here, the processing by the dependent feature generation unit 204 and the processing specification generation unit 205 is performed for each individual dependent feature.

  Next, the machining process determining means 21 is based on the machining features of each feature and the material of the material acquired from the machining data generating means 20 (machining specification generating means 205) and the construction method database 26 (see FIG. 3). Referring to the process mode table 33 (see FIG. 6), the cutting mode table 34 (see FIG. 7), the applied tool group table 35 (see FIG. 8), and the tool operation mode table 36 (see FIG. 9) in order, the dependent feature The partial machining process for each dependent feature that satisfies the required surface roughness and required accuracy of the dependent feature designated as the machining specifications for each is determined by the processing procedure (details will be described later) shown in FIG. An example of the partial machining process data 37 determined by the machining process determining means 21 is shown in FIG. 11 (details will be described later). The determined partial machining process data 37 for each dependent feature is transferred to the machining data generation means 20. Here, the processing by the processing step determination means 21 is performed for each subordinate feature.

  Next, the partial machining data generation means 206 (machining data generation means 20) is a tool for machining individual dependent features based on the partial machining process data 37 for each dependent feature acquired from the machining process determination means 21. Calculate the travel route. Then, the partial machining data generation means 206 generates partial machining data for individual dependent feature machining based on the calculated tool movement path. Here, the partial processing data means partial processing data corresponding to each subordinate feature for processing the subordinate feature. The generated partial machining data for each dependent feature, together with the material shape data and the partial machining process data 37 for each dependent feature determined by the machining process determining means 21, are used when machining each dependent feature. Is passed to the tooling determining means 22 for determining the tooling which is a combination form. Here, if necessary, the name of the processing machine and the material used for processing are also passed.

  Next, the tooling determination means 22 uses the material shape data based on the partial machining process data 37 and the partial machining data for each dependent feature, and the tool table and tooling table of the equipment database 27 (see FIG. 3) and the necessary data. By performing machining simulation with reference to the machine table and the fixture table according to the optimal tooling for machining of each dependent feature that is predicted to have the highest rigidity without interference in machining of each dependent feature. This is determined according to the processing procedure shown in FIG. FIG. 13 shows a conceptual diagram of the optimum tooling determination method (details will be described later).

  In determining the optimum tooling, in addition to a method of quoting candidates from a tooling table registered in advance as a fixed tooling in a state where a tool and a holder are combined, a tool table in the equipment database 27 (see FIG. 3) and It is also effective to use both the holder table and quote the tool and the holder individually to determine the combination of the tool and the holder. The latter has the advantage that the tool blade length and protrusion length and the holder protrusion length when a plurality of holders are combined can also be determined.

  The optimum tooling for each dependent feature determined by the tooling determination unit 22 is transferred to the machining data generation unit 20. Here, the processing by the tooling determining means 22 is performed for each individual dependent feature.

  Next, the machining data generation unit 20 delivers the optimum tooling for each dependent feature acquired from the tooling determination unit 22 to the cutting condition determination unit 23. Further, the machining data generation means 20 acquires the optimum cutting conditions for individual dependent feature machining in consideration of the tooling rigidity from the cutting condition determination means 23. The processing procedure for determining the optimum cutting condition in the cutting condition determining means 23 is shown in FIG. 14 (details will be described later).

  Next, after receiving the optimum tooling and cutting conditions for each dependent feature, the machining data generation unit 20 passes these to the machining direction determination unit 24.

  Next, the machining direction determination means 24 estimates the machining efficiency for each dependent feature by estimating the tooling rigidity and the machining time based on the received optimum tooling and cutting conditions for each dependent feature. to decide. Then, the processing direction determination unit 24 collects all the subordinate features under the parent orthographic feature beyond the processing coordinate system frame (regardless of the machining coordinate system), and collects each subordinate feature. The subordinate feature having the highest machining efficiency among the subordinate features is determined as the optimum subordinate feature of the normal position feature as a parent. Next, the processing direction determination means 24 further determines the processing coordinate system to which the optimal subordinate feature belongs as the optimal processing coordinate system of the parent feature. Then, the machining direction determination means 24 determines the tool axis direction in the optimum machining coordinate system as the optimum machining direction of the orthographic feature serving as a parent.

  The processing result by the processing direction determination unit 24 is transferred to the processing data generation unit 20. The processing procedure for determining the optimum machining direction by the machining direction determining means 24 is shown in FIG. 15 (details will be described later). Here, the process of determining the optimum machining direction by the machining direction determining means 24 is performed for each of the in-place features.

  Next, the machining data generation means 20 leaves only the dependent feature determined as the optimal dependent feature and erases the other dependent features.

  After that, the integrated machining data generation unit 207 (processing data generation unit 20) processes the approach path and the retract path for processing all of the remaining optimum dependent features for each processing coordinate system, that is, processing in advance. The moving path of the tool from the machining target optimum dependent feature to the machining target optimum dependent feature to be machined immediately thereafter is sequentially determined. Next, the integrated machining data generation means 207 gives the optimum cutting conditions for each optimum dependent feature to the partial machining data for each optimum dependent feature. Next, the integrated machining data generation means 207 further integrates these based on the approach path and the retract path for processing all the optimal dependent features, and generates integrated processing data for processing all the optimal dependent features. Generate. Then, the integrated machining data generation means 207 outputs the machining process and tooling for each optimum dependent feature for each machining coordinate system, and the integrated machining data (for example, the media input / output unit 13, the communication control unit 14, the display unit). 16 and the peripheral device I / F unit 17). Here, the integrated machining data generation means 207 generates a machining path for connecting each feature according to a rule such as machining the upper feature first in the setup state (set in the machine). Then, integrated machining data is generated. Further, the integrated machining data generation means 207 may store the machining process and tooling for each optimum dependent feature for each machining coordinate system, and the integrated machining data in the storage unit 12.

  As described above, the machining data consistent generation apparatus 1 according to the embodiment of the present invention uses the machining data generation unit 20 as a core, the machining process determination unit 21, the tooling determination unit 22, the cutting condition determination unit 23, and the integrated database 25. By organically coupling, machining data in which machining processes, tooling and cutting conditions are comprehensively examined can be automatically and consistently generated without human intervention.

  Further, the machining data consistent generation device 1 according to the embodiment of the present invention assumes that the machining data generation unit 20 assumes indexing 5-axis machining using a 5-face machining machine or a 5-axis machining machine having a turning axis. Including the in-placed feature extracting unit 203 and the dependent feature generating unit 204 and the processing direction determining unit 24 included, and organically combining them, the optimum processing direction is determined in the indexing 5-axis processing. Can do. The machining data generation means 20 which is the core of the machining data consistent generation apparatus 1 sequentially performs processing as shown in FIG. 16 (details will be described later).

  FIG. 3 is a diagram illustrating a configuration example of the integrated database 25. As shown in FIG. 3, the integrated database 25 includes a construction method database 26 that stores information on construction methods, and a facility database 27 that stores information about facilities.

  The construction method database 26 includes a process mode table, an applied tool group table, a cutting mode table, a tool operation mode table, and the like. The process mode table stores information on process modes for various conditions. The applied tool group table stores information on available tool groups. For example, the tool group “face mill” includes several types of tools such as a face mill. The cutting mode table stores information related to cutting modes for various conditions. The tool operation mode table stores information on tool operation modes such as a machining operation mode and a tool movement mode.

  The equipment database 27 includes a processing machine table, a tool table, a fixture table, a holder table, a cutting condition table, a tooling table, and the like. The processing machine table stores information on available processing machines. The tool table stores information about available tools. The fixing jig table stores information related to usable fixing jigs. The cutting condition table stores information on cutting conditions such as the tool rotation speed and the tool feed speed. The holder table stores information on available holders. The tooling table stores information related to fixed tooling in which the tool stored in the tool table and the holder stored in the holder table are combined.

  FIG. 4 is a diagram illustrating an example of the basic feature group 31. Rough types of features (shape features) included in the basic feature group 31 include, for example, a plane, a cylindrical surface, a shoulder surface, a side notch, a corner notch, a groove, a seat, a pocket, a through pocket, and the like.

  Examples of the plane include a rectangular plane, a circular plane, a general plane, a composite plane, and a chamfer. The cylindrical surface includes, for example, a cylindrical side surface. Examples of the shoulder surface include a shoulder and a continuous shoulder.

  Examples of the side notch include a rectangular side notch, a circular side notch, and a U-shaped side notch. Examples of the corner notch include a rectangular corner notch, a circular corner notch, and a U-shaped side notch.

  Examples of the groove include a rectangular groove, a rectangular groove with R, an oval groove, a circular groove, a U groove, a V groove, a right angle V groove, a T groove, and an ant groove. Examples of the seat include a rectangular seat, an oval seat, a circular seat, and a U-shaped seat. Examples of the pocket include a rectangular pocket, an oval pocket, and a free pocket. Examples of the penetration pocket include a rectangular penetration pocket, an oval penetration pocket, and a free penetration pocket.

  FIG. 5 is a diagram illustrating an example of the machining specifications 32. The machining specification 32 includes setup state information and machining area information. The setup state information is information related to the setting before processing. The processing area information is information regarding the area to be processed.

  The setup state information includes, for example, a setup model ID, STL (Standard Triangulated Language: file format for storing data representing a three-dimensional shape) file name, material code, reference point (X, Y, Z), size (X , Y, Z), reference axis vector (I, J, K), the number of machining areas, and the like.

  The processing area information includes, for example, a processing area number, an identification code, an STL file name, a feature type symbol, a reference point (X, Y, Z), an area size (X, Y, Z), an L vector (I, J, K), surface state, material thickness (cutting allowance), cutting mode symbol, feature information, and the like.

  In the example illustrated in FIG. 5, the feature type symbol is “corner_notch_straight”. The feature information is information indicating the shape of the feature for this feature type symbol.

  FIG. 6 is a diagram illustrating an example of the process mode table 33. The process mode table 33 stores a process mode for each machine type, feature classification, required quality class, machining allowance classification, and machining progress classification.

  The required quality class is one piece of finish information indicating the finish state of the shape feature. The process mode is specified by the category of whether to process with only a single tool or with multiple tools (multi-tool), and the categories of all processing, pre-processing, post-processing, front / back processing, no processing Mode.

  FIG. 7 is a diagram illustrating an example of the cutting mode table 34. The cutting mode table 34 stores a process number, a cutting mode, a processing quality class, a remaining margin, and the like for each process mode and required quality class.

  FIG. 8 is a diagram illustrating an example of the applied tool group table 35. The applied tool group table 35 stores an applied tool group (first priority, second priority, third priority,...) For each feature type and machining quality class. The two-dot chain line means that data that continues in the right direction or the downward direction is omitted.

  The feature type is information indicating the type of the feature (shape feature) as illustrated in FIG. Here, the feature type in FIG. 4 indicates the type of the in-place feature, and the feature type in FIGS. 8 and 9 indicates the type of the dependent feature. The processing quality class is, for example, rough processing, intermediate processing, advanced processing, super-high processing, grinding processing, etc., and is an index that comprehensively represents the accuracy and surface roughness that should be achieved (or can be achieved) by processing. . The applied tool group table 35 stores tools to be used with priority for each feature type. The data stored in the applied tool group table 35 is used as reference information for automatically determining a tool to be used (one of information related to the machining process) for the feature to be machined.

  FIG. 9 is a diagram illustrating an example of the tool operation mode table 36. The tool operation mode table 36 stores a tool operation mode (a machining operation mode and a tool movement mode) for each feature type, cutting mode, and shape material classification. Note that the two-dot chain line means that data that continues downward is omitted.

  The tool operation mode table 36 stores a tool operation mode for each feature type. The data stored in the tool operation mode table 36 is used as reference information for automatically determining a tool operation mode (one of information related to the machining process) to be applied to the feature to be machined.

  FIG. 10 is a flowchart showing details of the processing of the processing step determination means 21. As shown in FIG. 10, first, the control unit 11 (machining process determination means 21) inputs the machining features of the shape feature (subordinate feature) and the material of the material (S101). Next, the control unit 11 (machining process determining means 21) recognizes the required machining quality from the machining parameters of the shape feature (subordinate feature) (S102). Next, the control unit 11 (machining process determining means 21) refers to the process mode table 33 and the cutting mode table 34 of the construction method database 26 based on the material material, and determines a machining process that satisfies the required machining quality. (S103). Then, the control unit 11 (machining process determining means 21) outputs the determined machining process as the partial machining process data 37 (S104).

  Further, the control unit 11 (machining process determining means 21) receives the data of the machine and the machining specifications for each dependent feature, and then receives the process mode table 33, the cutting mode table 34, the applied tool group table 35, and the tool operation mode. The partial machining process which is a machining process for each dependent feature may be determined based on the information by sequentially referring to the table 36.

  FIG. 11 is a diagram illustrating an example of the partial machining process data 37. The partial machining process data 37 includes header information and process information. The header information is basic information regarding the target partial machining process. The process information is detailed information regarding the target partial machining process.

  The header information includes, for example, a setup model ID, a reference point (X, Y, Z), a reference axis vector (I, J, K), the number of machining parts, and the like. The process information includes, for example, a machining part identification code, a machining part type code, the number of processes, tool information for each process, machining information, machining residue, path information, cutting conditions, and the like.

  FIG. 12 is a flowchart showing details of the processing of the tooling determining means 22. Note that the processing shown in FIG. 12 is based on a machining simulation execution unit (realized by dedicated software). The processing simulation execution unit will be described with reference to FIG.

  As shown in FIG. 12, first, the control unit 11 (the tooling determining unit 22) inputs the shape of the material, the shape of the fixing jig, the partial processing step data 37, the partial processing data, and the name of the processing machine (S201).

  Next, the control unit 11 (the tooling determining unit 22) sets the shape of the material in the processing simulation execution unit (S202), sets the shape of the fixing jig in the processing simulation execution unit (S203), and the processing machine. The processing machine data is acquired from the processing machine table of the equipment database 27 based on the name and set in the processing simulation execution unit (S204), and the tooling candidate data is acquired from the tooling table of the equipment database 27 based on the processing machine name. And it sets to the execution part of processing simulation (S205).

  Next, for the first partial machining process, the control unit 11 (tooling determining means 22) reads the tool name and partial machining data name of each process from the partial machining process data 37 and sets them in the machining simulation execution unit. (S206). Then, the control unit 11 (tooling determining means 22) executes a machining simulation of the first partial machining process, generates an appropriate tooling area (non-interference area) (S207), and generates tooling candidate data based on the appropriate tooling area. Referring to FIG. 5, the optimum tooling for each process is determined (S208).

  Next, the control unit 11 (the tooling determining unit 22) checks whether or not the optimum tooling determining process has been repeated for the number of steps (S209). When the number of processes has not been repeated (No in S209), the control unit 11 (the tooling determining unit 22) repeats the process from S206 for the next partial machining process. When the process is repeated for the number of steps (Yes in S209), the control unit 11 (the tooling determining unit 22) outputs the data of the optimum tooling (S210).

  FIG. 13 is a diagram for explaining a method for determining optimum tooling. As shown in FIG. 13, the control unit 11 (processing simulation execution unit) sets an initial virtual tooling unit around the cutting tool, moves the cutting tool based on the partial processing data, and moves the workpiece with the cutting tool. While cutting, the virtual tooling part is cut with the workpiece and the fixture (reverse cutting). In FIG. 13, a pattern is given to the area of the workpiece after cutting and the virtual tooling part. And the control part 11 (execution part of a process simulation) produces | generates the virtual tooling part after moving a blade to the last based on partial process data as an appropriate tooling area | region (non-interference area | region). And the control part 11 (execution part of a process simulation) collates a candidate tooling shape with the appropriate tooling area of a virtual tooling part, and when a tooling shape of a candidate fits in an appropriate tooling area, there is no interference and it uses Judging that it is possible, the rigidity of the available tooling is compared, and the tool having the highest rigidity is presented as the optimum tooling.

  FIG. 14 is a flowchart showing details of the processing of the cutting condition determining means 23. As shown in FIG. 14, first, the control unit 11 (cutting condition determining means 23) inputs the material material, the tool used, and the optimum tooling (S301). Next, the control unit 11 (cutting condition determining means 23) acquires basic cutting conditions from the cutting condition table of the equipment database 27 based on the material and the tool used (S302). Next, the control unit 11 (cutting condition determining means 23) estimates the optimum tooling rigidity (S303). The estimation of rigidity is to calculate the amount of deflection of the tool used based on the material quality, tool used, optimum tooling, and basic cutting conditions. A known technique can be applied to the rigidity estimation process. Note that the cutting condition determination unit 23 may acquire the estimated value of the tooling stiffness from the tooling determination unit 22. Then, the control unit 11 (cutting condition determining means 23) determines the optimum cutting condition from the basic cutting conditions according to the rigidity of the optimum tooling (S304), and outputs the optimum cutting condition (S305). Here, as described above, in the case of the method for determining the optimum tooling from the tooling table registered as the fixed tooling, the cutting condition determining means 23 is provided in the equipment database 27 in which the cutting conditions corresponding to the rigidity of the tooling are registered. The tooling cutting conditions may be acquired as the optimum tooling cutting conditions.

  FIG. 15 is a flowchart showing details of processing of the processing direction determination means 24. As shown in FIG. 15, the control unit 11 (machining direction determining means 24) calculates the machining efficiency for each dependent feature based on the optimum tooling and cutting conditions (S401). Next, the control unit 11 (machining direction determining means 24) determines the subordinate features belonging to the in-place feature beyond the work coordinate system (regardless of the work coordinate system) based on the parent in-place feature. Collect (S402). Next, the control unit 11 (machining direction determination means 24) determines the dependent feature having the highest machining efficiency as the optimum dependent feature of the normal position feature as the parent (S403). Next, the control unit 11 (machining direction determining means 24) determines the machining coordinate system to which the optimum dependent feature belongs as the optimum machining coordinate system of the normal position feature as the parent (S404). Then, the control unit 11 (machining direction determination means 24) determines the tool axis of the optimum machining coordinate system as the optimum machining direction of the parent feature (S405).

  In S403, the control unit 11 (machining direction determination means 24) estimates the rigidity of the tooling determined for each subordinate feature, and determines that the subordinate feature from which the tooling having the highest rigidity is obtained has the highest machining efficiency. May be.

  In S403, the control unit 11 (machining direction determining means 24) estimates the moving distance of the tool from the partial machining data generated for each subordinate feature, and further sets the tool feed speed under the optimum cutting condition corresponding to the tooling rigidity. The moving time of the tool may be used, the machining time may be estimated based on the moving speed of the tool, and the dependent feature estimated to have the shortest machining time may be determined to have the highest machining efficiency.

  FIG. 16 is a flowchart showing details of processing of the machining data generation means 20. FIG. 16 shows the overall processing flow of the machining data consistent generation device 1 with the machining data generation means 20 as a main component. In the following, for convenience of explanation, each means is described as a subject of processing, but actually, the control unit 11 functions as each means and executes processing of each step. FIG. 16 shows an example of the processing procedure, and the present invention is not limited to this example.

  As shown in FIG. 16, the processing data generation unit 20 inputs the shape of a product to be processed, and separately inputs the shape specifications and materials of the material and the name of the processing machine used for processing. The input is performed via the media input / output unit 13, the communication control unit 14, the input unit 15, the peripheral device I / F unit 17, and the like (S501).

  Next, the processing data generation means 20 generates the shape of the material before processing based on these, including the shape specifications of the input material and the shape of the product if necessary (S502).

  Here, after the processing data generating unit 20 generates the shape of the material before processing, the fixing jig setting unit 29 fixes the material to the processing machine with respect to the input material shape as necessary. In the subsequent processing, the shape of the fixing jig may be included in the shape before processing together with the shape of the material.

  Further, the product shape design unit 28 may generate the shape of the material before processing, and the input information to the processing data generation unit 20 may include the shape of the material before processing. In this case, it is not necessary to generate the shape of the material by the machining data generation means 20.

  Next, the machining data generation means 20 (orientation feature extraction means 203) arranges the post-machining shape data in an arbitrary orthographic coordinate system, recognizes the shape characteristics of the part to be machined in the orthographic coordinate system, and individually The shape feature is extracted as an in-place feature (S503).

  Here, the processing data generation unit 20 (the in-place feature extraction unit 203) generates the shape data of the processing removal unit as the difference between the two by subtracting the post-processing shape data from the pre-processing shape data, and the processing removal The shape data of the part may be set in an arbitrary normal coordinate system, the shape feature of the region to be processed in the normal coordinate system may be recognized, and the shape feature may be extracted as a three-dimensional normal feature.

  Next, the machining data generation unit 20 sets a machining coordinate system and a tool axis (S504), acquires information on the fixing jig from the fixing jig setting unit 29, and sets the fixing jig (S505). .

  Next, the machining data generation means 20 (the subordinate feature generation means 204) sets an arbitrary one or a plurality of machining coordinate systems, arranges the in-place features individually in the individual work coordinate systems, and sets the in-place features. By generating a dependent feature by converting it into a form feature representation that is specific to the machining coordinate system, and linking the orthographic feature as a parent to the dependent feature, The attached dependent feature is generated (S506).

  Here, the machining data generation means 20 (subordinate feature generation means 204) sets the machining coordinate system based on the controllable movement axis for the machine to be used, and similarly sets the tool axis direction in the machining coordinate system. You may do it.

  Further, the machining data generation unit 20 (subordinate feature generation unit 204) facilitates identification of the subordinate feature by giving information indicating the feature of the processing coordinate system in which the in-place feature is arranged and converting the information into the subordinate feature. You may do it.

  Next, the processing data generation unit 20 (processing specification generation unit 205) generates processing specifications for each dependent feature based on the pre-processing shape data and the post-processing shape data (S507).

  Then, the processing data generation unit 20 transmits the processing specifications and material materials for each generated dependent feature to the processing step determination unit 21 (S508).

  As described with reference to FIG. 10, the machining process determination unit 21 determines a partial machining process for each dependent feature, and returns the partial machining process data 37 to the machining data generation unit 20.

  Next, the machining data generating unit 20 acquires the partial machining process data 37 for each dependent feature from the machining process determining unit 21 (S509), and processes the target dependent feature based on the partial machining process data 37. A tool path (tool movement path) is calculated (S510).

  Next, the machining data generation means 20 (partial machining data generation means 206) generates partial machining data for each dependent feature based on the tool path for each dependent feature (S511).

  Then, the machining data generation means 20 is a tooling determination means 22 for the shape of the material, the shape of the fixture, the name of the machine, the partial machining process data 37, and the generated partial machining data of each individual shape feature (dependent feature) machining. (S512).

  As described with reference to FIGS. 12 and 13, the tooling determination unit 22 determines the optimum tooling for each shape feature (subordinate feature), and returns it to the processing data generation unit 20.

  Next, the machining data generation unit 20 acquires the optimum tooling for each dependent feature from the tooling determination unit 22 (S513), and transmits the optimum tooling for each dependent feature acquired from the tooling determination unit 22 to the cutting condition determination unit 23. (S514).

  As described with reference to FIG. 14, the cutting condition determining unit 23 determines the optimum cutting condition for each shape feature (subordinate feature), and returns it to the machining data generating unit 20.

  Next, the machining data generation means 20 acquires the optimum cutting conditions for each dependent feature considering the tooling rigidity from the cutting condition determination means 23 (S515), and transmits the optimum tooling, the optimum cutting conditions, etc. to the machining direction decision means 24. (S516).

  As described with reference to FIG. 15, the machining direction determination unit 24 determines the optimum subordinate feature, the optimum machining coordinate system, and the optimum tool axis (optimum machining direction) for each of the in-place features, and returns the machining data to the machining data generation unit 20. To do.

  Next, the machining data generation unit 20 obtains the optimum dependent feature, the optimum machining coordinate system, and the optimum tool axis (optimum machining direction) for each normal feature from the machining direction determination unit 24 (S517), and other than the optimum dependent feature. The dependent features are deleted including the related data (S518).

  Next, the machining data generation unit 20 (integrated machining data generation unit 207) determines an approach path and a retract path for processing all shape features (optimum dependent features) (S519).

  Next, the machining data generation means 20 (integrated machining data generation means 207) gives the optimum cutting conditions for each optimum dependent feature to the partial machining data of each optimum dependent feature, and further all shape features (optimum dependent features). These are integrated based on the approach path and the retract path for processing, and integrated processing data for processing all shape features (optimal subordinate features) is generated (S520).

  Then, the machining data generation means 20 includes the partial machining process data 37 for each shape feature (optimum dependent feature) determined by the machining process determination means 21 and the shape feature (optimum dependent feature) determined by the tooling determination means 22. The optimum tooling and integrated machining data are output (S521).

  As described above, the machining data consistent generation device 1 can determine an optimum machining direction in indexing 5-axis machining, and can automatically generate machining data at once with CAD data as input data.

<Operation in the embodiment of the present invention>
・ By simply inputting CAD data, the machining data required for machining is automatically generated without human intervention, significantly reducing the man-hours for CAM operators and preventing human errors such as input and operation through interactive processing. Is done. In addition, stable quality processing data that does not depend on the level of human skill is generated.
-The machining path is calculated only with the tool edge shape, and tooling is determined using the generated machining data, so that there is no work return due to interference.
-Since the machining process decision and tooling decision are executed based on database information such as the construction method table, tool table, holder table, etc., machining based on the unified information is performed, and standardization is promoted.
-By consolidating machining know-how into a database, on-site know-how of a certain quality can be preserved and continuously maintained, leading to succession of technology.
-The optimum machining direction for indexing 5-axis machining, which is difficult for human judgment, is automatically determined.

<Effects of Embodiment of the Present Invention>
-The number of man-hours is significantly reduced and stable quality machining data is generated.
-There is no return to work, and the optimal touring decision is completed in one shot.
・ Standardization of processing and standardization of tools will be promoted, and the inventory of jigs and tools will be reduced, leading to a reduction in equipment costs.
・ Preservation and succession of on-site know-how is promoted.
-High-efficiency machining can be realized by utilizing a 5-sided machine and a 4- to 5-axis controlled machine with a turning axis.

  As mentioned above, although suitable embodiment of the process data consistent production | generation apparatus etc. which concern on this invention was described referring an accompanying drawing, this invention is not limited to this example. It will be apparent to those skilled in the art that various changes or modifications can be conceived within the scope of the technical idea disclosed in the present application, and these naturally belong to the technical scope of the present invention. Understood.

DESCRIPTION OF SYMBOLS 1 ......... Processing data consistent generation apparatus 11 ......... Control part 12 ......... Storage part 13 ......... Media input / output part 14 ......... Communication control part 15 ......... Input part 16 ......... Display part 17 ... ...... Peripheral device I / F unit 18 ......... Bus 20 ......... Processing data generation means 201 ......... Input means 202 ...... Material shape generation means 203 ......... In-place feature extraction means 204 ......... Subordinate features Generating means 205... Machining specification generating means 206... Partial machining data generating means 207... Integrated machining data generating means 21... Machining process determining means 22. Determining means 24 ......... Processing direction determining means 25 ......... Integrated database 26 ......... Method database 27 ......... Equipment database 28 ......... Product shape design means 29 ......... Fixing jig installation Setting means 31... Basic feature group 32... Machining specifications 33... Process mode table 34... Cutting mode table 35 ......... Applicable tool group table 36 ......... Tool operation mode table 37. Partial machining process data

Claims (12)

Input means for inputting shape data before processing of the processed product, shape data after processing of the processed product, and data of a processing machine to be used;
Positioned feature extraction means for arranging the processed shape data in an arbitrary position coordinate system, recognizing a shape feature of a part to be processed in the position coordinate system, and extracting each shape feature as a position feature When,
Arbitrary one or a plurality of machining coordinate systems are set, the orthographic features are individually arranged in the machining coordinate systems, and the shape features are expressed in the machining coordinate system. The dependent feature is generated by converting to the dependent feature, and the orthographic feature is associated with the dependent feature as a parent, thereby generating the dependent feature associated with the orthographic feature in each of the processing coordinate systems. Dependent feature generating means for
Processing specification generation means for generating processing specifications for each of the dependent features based on the pre-processing shape data and the post-processing shape data;
Machining step determination means for determining a partial machining step that is a machining step for each of the subordinate features belonging to each of the machining coordinate systems;
Based on the partial machining step and the post-machining shape data, a partial machining data generation unit that calculates a movement path of a tool by a tool shape for each dependent feature and generates partial machining data that is machining data for each dependent feature When,
Tooling determining means for estimating the rigidity of tooling that is a combination of the tool and the holder that supports the tool for each subordinate feature based on the partial machining data, and determining the tooling on the condition that no interference occurs. ,
Cutting condition determining means for determining a cutting condition for each of the subordinate features based on the tooling;
After calculating the machining efficiency for each of the subordinate features for which the tooling and the cutting conditions have been determined, all the subordinate features are collected under the parent position feature beyond the frame of the processing coordinate system, The dependent feature having the highest machining efficiency among the dependent features collected for each in-place feature is defined as the optimum dependent feature of the orthographic feature serving as a parent, and the processing coordinate system to which the optimum dependent feature belongs is defined as a parent. A machining direction determining means for determining an optimum machining coordinate system of the normal position feature, and determining a tool axis direction in the optimum machining coordinate system as an optimal machining direction of the normal position feature;
The cutting condition is given to the partial machining data related to the optimal dependent feature, the partial machining data related to the optimal dependent feature is collected for each of the machining coordinate systems, and retracted from the optimal dependent feature to be processed in advance. Machining data for machining all the optimum subordinate features continuously in each of the machining coordinate systems by sequentially determining the movement path of the tool until reaching the optimum subordinate feature to be machined immediately thereafter Integrated machining data generating means for generating integrated machining data;
An apparatus for consistently generating machining data, comprising: The normal feature extracting means generates shape data of the processing removal unit as a difference between both by subtracting the post-processing shape data from the pre-processing shape data, and the processing removal unit shape data is arbitrarily determined. The apparatus according to claim 1, wherein the shape feature is installed in the normal coordinate system, the shape feature of a region to be processed in the normal coordinate system is recognized, and the shape feature is extracted as a three-dimensional normal feature. Integrated processing data generator. Storage means for preliminarily storing one or a plurality of table information defining rules for determining the processing step based on the processing specifications for each of the dependent features;
The processing step determining means determines the partial processing step with reference to one or a plurality of the table information based on the data of the processing machine and the processing specifications for each dependent feature. The machining data consistent generation device according to claim 1 or 2. The table information includes a rule for determining the partial processing step based on finish information indicating a finish state of the dependent feature.
The corrective feature extraction unit adds the finishing information of the corrective feature to the extracted corrective feature,
The dependent feature generation means inherits the finishing information given to the in-place feature also to the dependent feature,
The processing specification generation means generates the processing specifications for each of the subordinate features to which the finishing information is added,
The processing step determining means determines the partial processing step with reference to one or a plurality of the table information based on the data of the processing machine and the processing specifications for each dependent feature. The machining data consistent generation apparatus according to any one of claims 1 to 3. The machining direction determining means, based on the rigidity of the tooling estimated by the tooling determining means, determines that the dependent feature from which the tooling having the highest rigidity is obtained has the highest machining efficiency. The machining data consistent generation device according to any one of claims 1 to 4. The machining direction determining means estimates a moving distance of the tool from the partial machining data generated for each subordinate feature, further estimates a machining time based on the moving speed of the tool, and the machining time is the shortest. 5. The machining data consistent generation apparatus according to claim 1, wherein the estimated dependent feature is determined to have the highest machining efficiency. The cutting condition determining means determines, for the tooling determined by the tooling determining means, the highly efficient cutting condition corresponding to the rigidity based on the rigidity of the tooling estimated by the tooling determining means. The machining data consistent generation device according to any one of claims 1 to 6, characterized in that: The dependent feature generation means sets the machining coordinate system based on a controllable moving axis for the machining machine to be used, and similarly sets the tool axis direction in the machining coordinate system. The machining data consistent generation apparatus according to claim 1. The dependent feature generation means facilitates identification of the dependent feature by giving information representing a feature of a processing coordinate system in which the in-place feature is arranged and converting the information into the dependent feature. The machining data consistent generation apparatus according to any one of claims 1 to 8. The machining data consistent generation device according to any one of claims 1 to 9, wherein the shape data before machining includes information on a fixing jig installed to fix the workpiece. Computer
Input means for inputting shape data before processing of the processed product, target shape data of the processed product, and data of the processing machine to be used,
Positioned feature extraction means for arranging the processed shape data in an arbitrary position coordinate system, recognizing a shape feature of a part to be processed in the position coordinate system, and extracting each shape feature as a position feature ,
Arbitrary one or a plurality of machining coordinate systems are set, the orthographic features are individually arranged in the machining coordinate systems, and the shape features are expressed in the machining coordinate system. The dependent feature is generated by converting to the dependent feature, and the orthographic feature is associated with the dependent feature as a parent, thereby generating the dependent feature associated with the orthographic feature in each of the processing coordinate systems. Dependent feature generation means
Processing specification generation means for generating processing specifications for each of the dependent features based on the pre-processing shape data and the post-processing shape data,
Machining step determination means for determining a partial machining step that is a machining step for each of the subordinate features belonging to each of the machining coordinate systems;
Based on the partial machining step and the post-machining shape data, a partial machining data generation unit that calculates a movement path of a tool by a tool shape for each dependent feature and generates partial machining data that is machining data for each dependent feature ,
Tooling determining means for estimating the tooling that is a combination of the tool and the holder that supports the tool for each dependent feature, and determining the tooling on the condition that no interference occurs based on the partial machining data,
Cutting condition determining means for determining a cutting condition for each dependent feature based on the tooling;
After calculating the machining efficiency for each of the subordinate features for which the tooling and the cutting conditions have been determined, all the subordinate features are collected under the parent position feature beyond the frame of the processing coordinate system, The dependent feature having the highest machining efficiency among the dependent features collected for each in-place feature is defined as the optimum dependent feature of the orthographic feature serving as a parent, and the processing coordinate system to which the optimum dependent feature belongs is defined as a parent. A machining direction determining means for determining an optimum machining coordinate system of the normal position feature and determining a tool axis direction in the optimum machining coordinate system as an optimal machining direction of the normal position feature;
The cutting condition is given to the partial machining data related to the optimal dependent feature, the partial machining data related to the optimal dependent feature is collected for each of the machining coordinate systems, and retracted from the optimal dependent feature to be processed in advance. Machining data for machining all the optimum subordinate features continuously in each of the machining coordinate systems by sequentially determining the movement path of the tool until reaching the optimum subordinate feature to be machined immediately thereafter Integrated machining data generating means for generating integrated machining data;
Machining data consistent generation program to function as An input step for inputting shape data before processing of the processed product, shape data after processing of the processed product, and data of a processing machine to be used;
Positioning feature extraction step of arranging the processed shape data in an arbitrary position coordinate system, recognizing a shape feature of a part to be processed in the position coordinate system, and extracting each shape feature as a position feature When,
Arbitrary one or a plurality of machining coordinate systems are set, the orthographic features are individually arranged in the machining coordinate systems, and the shape features are expressed in the machining coordinate system. The dependent feature is generated by converting to the dependent feature, and the orthographic feature is associated with the dependent feature as a parent, thereby generating the dependent feature associated with the orthographic feature in each of the processing coordinate systems. A dependent feature generation step,
A processing specification generation step for generating processing specifications for each of the dependent features based on the pre-processing shape data and the post-processing shape data;
A machining step determination step for determining a partial machining step that is a machining step for each of the subordinate features belonging to each of the machining coordinate systems;
Based on the partial machining step and the post-machining shape data, a partial machining data generation step of calculating a movement path of a tool by a tool shape for each dependent feature and generating partial machining data as machining data for each dependent feature When,
A tooling determining step for estimating the tooling, which is a combination of the tool and the holder that supports the tool, for each subordinate feature and determining the tooling on the condition that no interference occurs based on the partial machining data; ,
A cutting condition determining step for determining a cutting condition for each of the subordinate features based on the tooling;
After calculating the machining efficiency for each of the subordinate features for which the tooling and the cutting conditions have been determined, all the subordinate features are collected under the parent position feature beyond the frame of the processing coordinate system, The dependent feature having the highest machining efficiency among the dependent features collected for each in-place feature is defined as the optimum dependent feature of the orthographic feature serving as a parent, and the processing coordinate system to which the optimum dependent feature belongs is defined as a parent. A machining direction determining step for determining an optimum machining coordinate system of the normal position feature and determining a tool axis direction in the optimal machining coordinate system as an optimum machining direction of the normal position feature;
The cutting condition is given to the partial machining data related to the optimal dependent feature, the partial machining data related to the optimal dependent feature is collected for each of the machining coordinate systems, and retracted from the optimal dependent feature to be processed in advance. Machining data for machining all the optimum subordinate features continuously in each of the machining coordinate systems by sequentially determining the movement path of the tool until reaching the optimum subordinate feature to be machined immediately thereafter An integrated machining data generation step for generating integrated machining data;
A method for consistently generating machining data, comprising:

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