JP7027221B2 - Modeling data generation system and modeling data generation method - Google Patents

Description

The present invention relates to a modeling data generation system and a modeling data generation method relating to an additional manufacturing apparatus.

Additive Manufacturing represented by Powder Bed Fusion, which produces a desired molded product (hereinafter referred to as the target product) by irradiating a powder material such as metal with a light beam and melting and solidifying it. ) Is generally known. In recent years, modeling with an additional manufacturing device is expected to be able to realize a complicated and precise shape of an object, which was difficult to realize by modeling with a conventional casting device.

U.S. Patent Application Publication No. 2014/0154088 Japanese Unexamined Patent Publication No. 2017-211977

In the molding by the additional manufacturing apparatus, the final shape may be distorted due to the residual stress at the time of molding, and the dimensional accuracy may be deteriorated. Conventionally, optimization has been attempted by combining the construction conditions (output, scanning speed, etc.) and irradiation pattern of the additional manufacturing equipment, but for example, strength, composition, filling rate (porosity), surface roughness, heat resistance, etc. There are indicators to be considered other than dimensional accuracy such as temperature, corrosion resistance, and fine structure (state of crystal grain size and crystal structure), and the solution cannot be obtained by the above method or the productivity is low. In some cases.

One embodiment of the present invention has been made in view of the above problems, and provides a modeling data generation system and a modeling data generation method capable of improving the modeling quality of an object to be modeled by an additional manufacturing apparatus as compared with the conventional one.

The modeling data generation system according to the embodiment of the present invention is a modeling data generation system that generates modeling data that can be used in the additional manufacturing apparatus, and is used as required specification data regarding the quality of the object to be modeled by the additional manufacturing apparatus. Based on this, the heating plan unit for creating the heating plan for modeling the target object and generating the construction condition data corresponding to the heating plan, and the heating plan unit create the heating plan, and then the heating plan. Based on the above, the input shape setting unit that generates the input shape data used when the additional manufacturing apparatus models the target object according to the construction condition data, and the construction condition data and the input shape data are combined with the modeling. It is characterized by having a transmission unit for transmitting data to the additional manufacturing apparatus as at least a part of the data.

The modeling data generation method according to the embodiment of the present invention is a modeling data generation method for generating modeling data that can be used in the additional manufacturing apparatus, and is used as required specification data regarding the quality of the object to be modeled by the additional manufacturing apparatus. Based on this, a heating plan for modeling the target object is created, construction condition data corresponding to the heating plan is generated, the heating plan is created, and then the additional manufacturing apparatus is used based on the heating plan. Input shape data used when modeling the target object according to the construction condition data is generated, and the construction condition data and the input shape data are transmitted to the additional manufacturing apparatus as at least a part of the modeling data. It is characterized by that.

It is possible to provide a modeling data generation system and a modeling data generation method capable of improving the modeling quality of the object to be modeled by the additional manufacturing apparatus as compared with the conventional one.

It is a schematic diagram which shows the modeling data generation system which concerns on one Embodiment of this invention. It is a schematic diagram which shows the additional manufacturing apparatus connected to the modeling data generation system. It is a flowchart which shows the modeling data generation method which concerns on one Embodiment of this invention. It is a schematic diagram which shows the change of the predicted shape based on the correction of the input shape data.

Hereinafter, the modeling data generation system and the modeling data generation method according to the embodiment of the present invention will be described with reference to FIGS. 1 to 4.

As shown in FIG. 1, the modeling data generation system according to the embodiment of the present invention includes a modeling data generation device 10. The modeling data generation device 10 is connected to the additional manufacturing device 30 via a network (communication line) 20. Although only one additional manufacturing device 30 is shown here, the modeling data generation device 10 may be connected to a plurality of additional manufacturing devices 30. When connected to a plurality of additional manufacturing devices 30, the plurality of additional manufacturing devices 30 may be arranged at the same point or may be arranged at different points.

The modeling data generation device 10 is, for example, an electronic device such as a host computer. The modeling data generation device 10 has a device configuration such as a computing device such as a CPU (Central Processing Unit), a storage device such as an HDD (Hard Disk Drive), a RAM (Random Access Memory), and a ROM (Read Only Memory), and a communication device. Etc. (not shown). On the other hand, the modeling data generation device 10 includes a pretreatment unit 11, a heating planning unit 12, an input shape setting unit 13, a comprehensive evaluation unit 17, and a transmission unit 18 as functional configurations. The input shape setting unit 13 has an analysis unit 14, a shape evaluation unit 15, and an inverse analysis unit 16. Each function of the modeling data generation device 10 is realized, for example, by executing a program, software, or the like read from the storage device by the above-mentioned arithmetic unit.

The network 20 is composed of, for example, a local area network, and may be wired or wireless. Further, the network 20 may be a wide area network such as the Internet, and in that case, even if the additional manufacturing device 30 is arranged at a remote location of the modeling data generation device 10, communication via the network 20 can be performed. It is possible. On the other hand, when the modeling data generation device 10 and the additional manufacturing device 30 can be arranged close to each other, the modeling data generation device 10 and the additional manufacturing device 30 are directly connected by wire without going through the network 20. It may be configured.

There are various types of equipment in the additional manufacturing apparatus 30, but in one embodiment of the present invention, the additional manufacturing apparatus 30 is obtained by sintering or melting and solidifying a thinly laminated powder by a laser (or an electron beam). It will be described as a device of "Powder Bed Fusion method" for manufacturing a three-dimensional shaped object (object) by laminating sintered or melt-solidified materials. Similarly to this, a device of a method of depositing a sintered or melt-solidified material on a base by irradiating a powder material supplied from an injection nozzle with a laser, for example, "Directed Energy Accumulation (Directed)" An “Energy Deposition) method” device or the like may be used.

As shown in FIG. 2, the additional manufacturing apparatus 30 includes, for example, a modeling platform 101, a metal frame 102, a laser irradiation device 103, a condenser lens 104, a light emitting device 105, and a recorder 106. The modeling platform 101 is a flat plate for supporting the bottom surface of the target object when the additional manufacturing apparatus 30 models the target object 200, and is movable in the vertical direction of the device (for example, the vertical direction of the paper surface in FIG. 2). There is. The metal frame 102 is a powder 202 that is a raw material of the target object 200, and is a metal storage container for storing the uncured powder 201 that remains without being sintered or melt-solidified. The uncured powder 201 (powder 202) is a powder material that is cured by the energy of the laser irradiated from the laser irradiation device 103.

The laser irradiation device 103 includes a condenser lens 104 and a light emitting device 105, and coordinates defined by input shape data based on output (intensity), scanning speed, irradiation pattern, etc. defined by construction condition data described later. According to the information, the laser irradiation position is scanned. The target object 200 is formed by curing and laminating the powder 202 that has been irradiated with the laser. The condenser lens 104 collects the laser beam amplified and oscillated from the light emitting device 105, and adjusts the focal position near the surface of the spread powder 202. The recoater 106 forms a flattening layer of the powder 202 having a predetermined thickness by moving the powder 202 in the horizontal direction of the device (for example, the left-right direction of the paper surface in FIG. 2) while spreading the powder 202 on the modeling platform 101.

The additional manufacturing apparatus 30 controls the laser irradiation apparatus 103 based on the construction condition data and the input shape data, irradiates the flattening layer (Nth layer) with a laser, and cures (sinters or melts and solidifies) a part of the powder 202. ). After the modeling platform 101 is lowered by a predetermined height, the addition manufacturing laminating device 30 forms the next flattening layer (N + 1 layer) by spreading the powder 202 using the recoater 106. The additional manufacturing apparatus 30 uses the laser irradiation apparatus 103 to irradiate the flattening layer with a laser to cure a part of the powder 202. By repeating this step, the additional manufacturing apparatus 30 can manufacture the target product 200 having the desired three-dimensional shape defined by the input shape data.

Next, a modeling data generation method according to an embodiment of the present invention will be described with reference to FIGS. 3 and 4 together with FIGS. 1 and 2. Here, the modeling data includes the construction condition data and the input shape data input to the additional manufacturing apparatus 30 for modeling the target object. The modeling data is described, for example, in a file format that can be understood by the additional manufacturing apparatus 30.

(Step S1)
The modeling data generation device 10 receives the three-dimensional shape data and the required specification data which are the design information of the target object. The three-dimensional shape data includes design information (for example, 3D-CAD data) regarding the three-dimensional shape of the target object. The requirement specification data includes design information regarding the quality target to be achieved by the target product, for example, a quality target related to dimensional accuracy (first quality target value) and a quality target related to material physical properties (second quality target). Value) is included.

Quality targets for material properties include, for example, information on the strength, composition, filling ratio, microstructure, surface roughness, corrosion resistance, heat resistance, etc. of the object. The required specification data may include an index for achieving the quality target. For example, as an index for achieving the fine structure target, an index such as the crystal structure of the target object, the shape and particle size of the crystal grain, etc. may be included. It should be specified. By making such provisions, quality targets related to material properties can be defined.

Here, the filling rate means that there are few voids contained in the target object. Surface roughness means the roughness of the surface of the object. Composition means assembling the components that make up the object. Corrosion resistance means the degree of resistance to corrosion of the target object. Heat resistance means the degree of resistance to heat of an object. The crystal structure means the crystal structure of a substance constituting an object.

(Step S2)
The preprocessing unit 11 included in the modeling data generation device 10 generates intermediate shape data that can be input to the additional manufacturing device 30 when modeling the target object, based on the received three-dimensional shape data. The required specification data may be taken into consideration when generating the intermediate shape data. Depending on the shape of the object to be modeled by the additional manufacturing apparatus 30, for example, it is necessary to change the modeling posture or add a support member (support) to support the object. The pre-processing unit 11 generates intermediate shape data in consideration of such a setting of a modeling posture and a setting regarding the range and configuration of a support member. The pretreatment unit 11 may generate slice data obtained by dividing the three-dimensional shape of the target object into a plurality of laminated cross sections, and may include the slice data in the intermediate shape data.

The modeling posture of the target object may be manually set by the operator of the modeling data generation device 10, or may be automatically set by using a program for optimizing the modeling posture. Based on the set modeling posture, the support range (position, number, etc.) and the configuration of the support member (external shape, cross-sectional shape, dimensions of the frame part, spacing, etc.) when modeling the target object are set. The support range may be automatically set by using a program for setting the position and number of support members. As such a program, in order to reduce costs, it is desirable to set it so as to minimize, for example, the amount of required support members.

Regarding the configuration of the support member, an initial structure may be set in advance, and this initial structure may be used when the intermediate shape data is first generated. For example, the outer shape of the support member is a prism, the cross-sectional shape is a grid structure, and the initial values are used for the dimensions, spacing, etc. of the frame portion. Since the support member needs to be removed after modeling the target object, an index regarding the ease of removing the support member after modeling the target object is also taken into consideration when setting the configuration of the support member. The preprocessing unit 11 combines the received three-dimensional shape data with the result of preprocessing including the setting of the modeling posture and the range and configuration of the support member to generate the intermediate shape data.

(Step S3)
The heating planning unit 12 included in the modeling data generation device 10 creates a heating plan for modeling the target object. The heating plan includes, for example, information on heat history data showing how the temperature change of the target object over time and information on the amount of energy input to the target object. Since the heating planning unit 12 generates a heating plan based on at least one of the material properties of the material used for modeling the target object and the received requirement specification data, if the material properties or the requirement specification data of the material are different, the heating plan unit 12 generates the heating plan. The heating plan will also be different. The temperature changes related to the thermal history data include not only information on sintering or melt solidification of the powder 202 during laser irradiation, but also preheating before modeling, hot isotropic pressure pressurization (HIP) after modeling, and the like. All thermal processes that affect the final shape of the object can be considered.

In the heating plan, for example, at least one of the composition, strength, packing factor, microstructure (crystal structure, shape and particle size of crystal grains, etc.), surface roughness, corrosion resistance, and heat resistance of the target object is included in the required specification data. The amount of energy input is determined so as to meet the specified quality target values for material properties. Alternatively, at least one of the composition, strength, filling rate, microstructure (crystal structure, crystal grain shape, particle size, etc.), surface roughness, corrosion resistance, and heat resistance of the target product is specified in the required specification data. The thermal history data is determined so as to satisfy the quality target value related to the physical properties. In addition, instead of the heat history data, conditions corresponding to the heat history data (output to the heating region, scanning speed of the heating region, scanning pattern of the heating region, etc.) may be used.

(Step S4)
The heating planning unit 12 included in the modeling data generation device 10 determines the material physical characteristics of the target product obtained when the heating plan created in step S3 is adopted, based on the filling rate, microstructure, etc. predicted from the heat history data. presume. The heating planning unit 12 further determines whether or not the material physical properties of the target object estimated from the heating plan satisfy the quality target value (second quality target value) related to the material physical characteristics specified in the required specification data. For example, a database showing theoretical characteristics and experimental characteristics when the material to be used is heated under various conditions, simulation results, etc. are stored in the modeling data generation device 10, and the quality target value can be obtained by referring to these information. You can evaluate whether it meets the requirements.

If the material properties of the target object estimated from the heating plan do not meet the quality target values related to the material properties specified in the required specification data, return to step S2 and change at least one of the intermediate shape data and the heating plan. .. In the pretreatment unit 11, for example, the modeling posture is changed, and the number and position of the support members are changed. Further, in the heating planning unit 12, for example, the amount of energy input to the target object is changed, or the heat history data is changed.

(Step S5)
When the material physical properties of the target object estimated from the heating plan satisfy the quality target values related to the material physical properties specified in the required specification data, the heating planning unit 12 has the construction condition data corresponding to the heating plan created in step S3. To generate. Specifically, the heating planning unit 12 derives various control parameters of the additional manufacturing apparatus 30 necessary for realizing the temperature change of the target object defined by the heat history data included in the heating plan. For example, the control parameters of the additional manufacturing apparatus 30 related to the heating region such as the output, the scanning speed, and the scanning pattern of the laser irradiation apparatus 103 are generated.

After the construction condition data is generated by the heating planning unit 12, the input shape setting unit 13 follows the following steps S6 to S9, and the input shape used by the additional manufacturing apparatus 30 when actually modeling the target object according to the construction condition data. Generate data.

Here, in modeling by additional manufacturing, it is generally required to achieve both dimensional accuracy and material physical properties, but it has been extremely difficult to achieve both in the past. Based on this knowledge, the inventor of the present application has low controllability (the control range is narrow) because the modeling quality related to material physical properties is determined by thermal history data, etc., and the modeling quality related to dimensional accuracy changes the input shape data as appropriate. We found the property of high controllability (wide control range) because it can be realized by doing so, and by utilizing such property, we can use the modeling quality related to dimensional accuracy and the modeling quality related to material physical characteristics (filling rate and microstructure). I came up with the idea of achieving both.

In order to achieve both the modeling quality related to dimensional accuracy and the modeling quality related to material physical characteristics, in one embodiment of the present invention, in order to satisfy the quality condition (first quality target value) related to dimensional accuracy with high controllability. Prior to the setting of the input shape data (see steps S6 to S9 described later), the construction condition data for satisfying the quality condition (second quality target value) related to the material property with low controllability is generated (see). The above steps S3 to S5). Furthermore, at the stage of generating the heating plan, the achievement of the modeling quality related to the material physical properties is prioritized over the achievement of the modeling quality related to the dimensional accuracy. For example, at the stage of generating the heating plan, the modeling quality related to the dimensional accuracy may not be taken into consideration.

(Step S6)
When the analysis unit 14 included in the modeling data generation device 10 performs thermal stress analysis based on the heating plan created by the heating planning unit 12 and the intermediate shape data generated by the pretreatment unit 11, and adopts the heating plan. Generates predicted shape data representing the shape of the object to be modeled in. By performing thermal stress analysis, it is predicted how the three-dimensional shape represented by the intermediate shape data generated by the pretreatment unit 11 changes due to the thermal stress applied to the target object during modeling. That is, the heating plan and the intermediate shape data are used to predict what kind of final shape the target object to be modeled by the additional manufacturing apparatus 30 will be. Here, the predicted shape data excludes the influence of the adjustment of the modeling posture and the addition of the support member due to the preprocessing, and includes the design information that can be directly compared with the three-dimensional shape data in the step described later.

(Step S7)
The shape evaluation unit 15 included in the modeling data generation device 10 excludes the received three-dimensional shape data and the predicted shape data generated by the analysis unit 14 (effects related to adjustment of the modeling posture and addition of support members due to preprocessing). ), And it is determined whether or not the difference satisfies the quality condition (first quality target value) related to the dimensional accuracy. That is, the design shape represented by the three-dimensional shape data and the predicted shape generated by the analysis unit 14 are compared, and it is determined whether or not they match. The determination as to whether or not there is a match is not limited to perfect match, and may be determined with a predetermined allowable range determined by the quality condition related to the dimensional accuracy. For example, if the shape can be modified after modeling by polishing, cutting, or the like, it may be determined that they match with a predetermined allowable range. Further, if it is impossible to modify the shape after modeling, for example, if it is recessed (depressed or recessed, etc.) from the design shape, it may be determined that they do not match.

(Step S8)
When it is determined that the shapes do not match, the inverse analysis unit 16 provided in the modeling data generation device 10 performs an inverse analysis so that the predicted shape data generated by the analysis unit 14 matches the three-dimensional shape data which is the design shape. Based on this inverse analysis result, the intermediate shape data generated by the preprocessing unit 11 is corrected (adjusted / corrected / changed). For example, in the inverse analysis unit 16, the difference between the three-dimensional shape data which is the design shape and the predicted shape data generated by the analysis unit 14 is obtained, and the obtained difference is reduced (the predicted shape data and the three-dimensional shape data). It suffices to carry out a simulation (so that they match) and correct the intermediate shape data. After correcting this intermediate shape data, the process returns to step S6 described above.

After returning from step S8 to step S6, the analysis unit 14 performs a thermal stress analysis based on the heating plan created by the heating planning unit 12 and the corrected intermediate shape data generated by the inverse analysis unit 16. Predicted shape data representing the shape of the object to be modeled when the heating plan is adopted is generated again. After that, in step S7, the shape evaluation unit 15 determines whether or not the received three-dimensional shape data and the corrected predicted shape data regenerated by the analysis unit 14 match. If the shapes do not match, the process proceeds to step S8, and if the shapes match, the process proceeds to step S9. That is, steps S6 to S8 are repeated until the design shape and the predicted shape based on the thermal stress analysis match (or converge within a predetermined allowable range).

For example, as shown in FIG. 4A, the intermediate shape PM1 corresponding to the intermediate shape data before the inverse analysis in step S8 (in the drawing, the influence on the adjustment of the modeling posture and the addition of the support member due to the pretreatment). Is omitted), the predicted shape PP1 corresponding to the predicted shape data can be obtained by performing the thermal stress analysis based on the heating plan created by the heating planning unit 12. The predicted shape PP1 does not satisfy the condition of step S7 because the height is lower and the width is wider than the design shape PT corresponding to the received three-dimensional shape data.

For example, as shown in FIG. 4B, the inverse analysis unit 16 performs an inverse analysis in consideration of the difference between the predicted shape PP1 and the design shape PT, and the height is higher than that of the intermediate shape PM1 and the height is higher than that of the intermediate shape PM1. The intermediate shape data is corrected so that the width becomes narrower than the intermediate shape PM1. The predicted shape PP2 can be obtained by re-performing the thermal stress analysis based on the heating plan created by the heating planning unit 12 for the corrected intermediate shape PM2. Since this predicted shape PP2 matches the design shape PT, the condition of step S7 is satisfied. In this way, after the heating plan and the corresponding construction conditions are determined in advance, the tendency of strain due to thermal stress is grasped, and the input shape is corrected based on the grasped tendency.

(Step S9)
When the difference between the three-dimensional shape data and the predicted shape data satisfies the quality condition related to the dimensional accuracy, that is, when the design shape and the predicted shape by the thermal stress analysis substantially match, the shape evaluation unit 15 matches. The intermediate shape data at the time is set as input shape data used when the additional manufacturing apparatus 30 actually shapes the target object according to the construction condition data.

(Step S10)
The comprehensive evaluation unit 17 included in the modeling data generation device 10 performs comprehensive evaluation on the modeling data including the construction condition data generated by the heating planning unit 12 and the input shape data generated by the shape evaluation unit 15. Specifically, the modeling data input to the additional manufacturing apparatus 30 satisfies both the quality condition related to dimensional accuracy (first quality target value) and the quality condition related to material physical properties (second quality target value). Whether or not the productivity (production cost, production throughput, etc.) when the additional manufacturing apparatus 30 models the target product based on the modeling data is within the permissible range, and the predetermined standardization / standardization organization determines. Evaluation may be performed on at least one of a plurality of judgment criteria such as whether or not the quality specifications are satisfied.

(Step S11)
The comprehensive evaluation unit 17 determines whether or not the result of the above-mentioned comprehensive evaluation satisfies a predetermined standard (comprehensive evaluation standard). If the result of the comprehensive evaluation meets the predetermined criteria, the process proceeds to step S12. If the result of the comprehensive evaluation does not meet the predetermined criteria, the process returns to step S2, and the conditions are reviewed from the pretreatment (the construction condition data and the intermediate shape data are changed, and the comprehensive evaluation is performed again).

(Step S12)
When it is determined that the comprehensive evaluation meets the predetermined criteria, the transmission unit 18 included in the modeling data generation device 10 includes the construction condition data generated by the heating planning unit 12 and the input shape data generated by the shape evaluation unit 15. Is transmitted to the additional manufacturing apparatus 30 as at least a part of the modeling data to instruct the start of modeling. In addition, based on the input shape data, the transmission unit 18 generates slice data obtained by dividing an object including a support member and having a predetermined modeling posture into a plurality of laminated cross sections, and includes the slice data in the modeling data. Is also good. The generation of the slice data may be performed by the preprocessing unit 11 as described above in step 1.

As described above, the modeling data generation device 10 inputs modeling data (construction condition data and input shape data) to be input to the additional manufacturing device 30 based on the received design information (three-dimensional shape data and required specification data). It is generating. At this time, first, a heating plan is generated so as to satisfy the quality target regarding the material physical properties, and the construction condition data is generated based on this heating plan. Next, the input shape data is generated by performing an inverse analysis so that the design shape corresponding to the three-dimensional shape data and the predicted shape corresponding to the predicted shape data considering the heating plan match. That is, the construction condition data that satisfies the quality target related to the material physical properties with low controllability is set first, and then the input shape data satisfying the quality target related to the dimensional accuracy with high controllability is set.

Therefore, it is possible to prioritize the achievement of the molding quality related to the material physical properties with low controllability rather than the achievement of the molding quality related to the dimensional accuracy with high controllability, and it is possible to easily set the construction condition data. Then, after setting the construction condition data, the reverse analysis based on the determined heating plan is performed to generate the input shape data to be input to the additional manufacturing apparatus 30, so that the construction conditions, the irradiation pattern, etc. are sequentially set as in the conventional case. It is not necessary to optimize the final shape of the target object in combination, and it is possible to efficiently model the desired target object in a short time.

In this way, the optimization of the modeling data (construction condition data and input shape data) input to the additional manufacturing apparatus 30 is facilitated, and not only the modeling quality related to the dimensional accuracy but also other indicators (strength, composition, etc.) are facilitated. It is possible to achieve both the molding quality related to the filling rate, surface roughness, heat resistant temperature, corrosion resistance, microstructure, etc.). As a result, it becomes possible to provide high-quality parts and to perform additional manufacturing modeling with high productivity.

One embodiment of the present invention is applicable to all parts manufactured by the additional manufacturing apparatus 30. For example, it can be applied to gas turbines, turbos, compressors, aerospace parts, and the like.

10 Modeling data generation device 11 Pretreatment unit 12 Heating planning unit 13 Input shape setting unit 14 Analysis unit 15 Shape evaluation unit 16 Inverse analysis unit 17 Comprehensive evaluation unit 18 Transmission unit 20 Network 30 Additional manufacturing equipment 101 Modeling platform 102 Metal frame 103 Laser Irradiator 104 Condensing lens 105 Light emitting device 106 Recorder

Claims (18)

A modeling data generation system that generates modeling data that can be used in additional manufacturing equipment.
A heating planning unit that creates a heating plan for modeling the target object based on the required specification data regarding the quality of the target object to be modeled by the additional manufacturing device, and generates construction condition data corresponding to the heating plan.
After the heating plan is created by the heating plan unit, the input shape setting unit generates input shape data used when the additional manufacturing apparatus models the target object according to the construction condition data based on the heating plan. When,
A transmission unit that transmits the construction condition data and the input shape data to the additional manufacturing apparatus as at least a part of the modeling data.
A preprocessing unit that generates intermediate shape data that can be input to the additional manufacturing apparatus when modeling the target object based on three-dimensional shape data regarding the shape of the object to be modeled by the additional manufacturing apparatus.
Have,
The input shape setting unit generates predicted shape data of the target object based on the intermediate shape data and the heating plan, and the intermediate shape data so that the predicted shape data and the three-dimensional shape data match. A modeling data generation system characterized in that the input shape data is generated by correcting the above . A modeling data generation system that generates modeling data that can be used in additional manufacturing equipment.
A heating planning unit that creates a heating plan for modeling the target object based on the required specification data regarding the quality of the target object to be modeled by the additional manufacturing device, and generates construction condition data corresponding to the heating plan.
After the heating plan is created by the heating plan unit, the input shape setting unit generates input shape data used when the additional manufacturing apparatus models the target object according to the construction condition data based on the heating plan. When,
A transmission unit that transmits the construction condition data and the input shape data to the additional manufacturing apparatus as at least a part of the modeling data.
Have,
The required specification data includes a first quality target value related to the dimensional accuracy of the target object and a second quality target value related to the material physical characteristics of the target object.
The heating planning unit is a modeling data generation system characterized in that when creating the heating plan, the second quality target value is prioritized over the first quality target value . The modeling data generation system according to claim 2 , wherein the heating planning unit does not consider the first quality target value when creating the heating plan. The heating planning unit
When the heating plan is adopted, it is determined whether the target object satisfies the second quality target value.
A claim characterized in that, when it is determined that the second quality target value is not satisfied, at least one of the intermediate shape data or the heating plan that can be input to the additional manufacturing apparatus when modeling the target object is changed. Item 2. The modeling data generation system according to claim 3 . The heating planning unit is set in the heating plan so that at least one of the composition, strength, filling rate, microstructure, surface roughness, corrosion resistance, and heat resistance of the target product satisfies the second quality target value. The modeling data generation system according to claim 2 or 3 , wherein the energy input amount is determined. The input shape setting unit is
An analysis unit that generates the predicted shape data by performing thermal stress analysis on the intermediate shape data based on the construction condition data corresponding to the heating plan.
A shape evaluation unit that determines whether or not the shape change of the target object due to the heating plan is within an allowable range by detecting the difference between the three-dimensional shape data and the predicted shape data.
When the shape change of the target object is not within the permissible range, the inverse analysis unit performs inverse analysis so that the predicted shape data approaches the three-dimensional shape data, and corrects the intermediate shape data.
The modeling data generation system according to claim 1 , wherein the system is characterized by having. The first aspect of claim 1 , wherein the preprocessing unit sets a modeling posture of the target object based on the three-dimensional shape data, and generates the intermediate shape data based on the modeling posture. Modeling data generation system. The pretreatment unit is characterized in that a support member necessary for modeling the target object is set based on the three-dimensional shape data, and the intermediate shape data is generated based on information about the support member. The modeling data generation system according to claim 1 . Further, there is a comprehensive evaluation unit for determining whether or not the modeling data meets the comprehensive evaluation criteria including at least one of the first quality target value , the second quality target value, and the condition relating to the productivity of the target product. Then, the comprehensive evaluation unit permits the transmission unit to transmit the modeling data when the comprehensive evaluation standard is satisfied, and when the comprehensive evaluation standard is not satisfied , the addition is made when the target object is modeled. The modeling data generation system according to claim 2, wherein the intermediate shape data that can be input to the manufacturing apparatus or at least one of the heating plans is changed. A computer-executed modeling data generation method for generating modeling data that can be used in additional manufacturing equipment.
A heating planning process that creates a heating plan for modeling the target object based on the required specification data regarding the quality of the target object to be modeled by the additional manufacturing apparatus, and generates construction condition data corresponding to the heating plan .
After creating the heating plan, an input shape setting step of generating input shape data used when the additional manufacturing apparatus models the target object according to the construction condition data based on the heating plan, and an input shape setting step .
A transmission step of transmitting the construction condition data and the input shape data to the additional manufacturing apparatus as at least a part of the modeling data.
A pretreatment step of generating intermediate shape data that can be input to the additional manufacturing apparatus when modeling the target object based on three-dimensional shape data regarding the shape of the target object to be modeled by the additional manufacturing apparatus.
Have,
The input shape setting step generates predicted shape data of the target object based on the intermediate shape data and the heating plan, and the intermediate shape data so that the predicted shape data and the three-dimensional shape data match. A modeling data generation method, characterized in that the input shape data is generated by correcting the above . A computer-executed modeling data generation method for generating modeling data that can be used in additional manufacturing equipment.
A heating planning process that creates a heating plan for modeling the target object based on the required specification data regarding the quality of the target object to be modeled by the additional manufacturing apparatus, and generates construction condition data corresponding to the heating plan .
After creating the heating plan, an input shape setting step of generating input shape data used when the additional manufacturing apparatus models the target object according to the construction condition data based on the heating plan, and an input shape setting step .
A transmission step of transmitting the construction condition data and the input shape data to the additional manufacturing apparatus as at least a part of the modeling data.
Have,
The required specification data includes a first quality target value regarding the dimensional accuracy of the target object and a second quality target value regarding the material physical characteristics of the target object.
In the heating planning step, when creating the heating plan, the modeling data generation method is characterized in that the second quality target value is prioritized over the first quality target value . The modeling data generation method according to claim 11 , wherein the heating planning step does not consider the first quality target value when creating the heating plan. The heating planning process is
When the heating plan is adopted, it is determined whether the target object satisfies the second quality target value.
When it is determined that the second quality target value is not satisfied, at least one of the intermediate shape data or the heating plan that can be input to the additional manufacturing apparatus when modeling the target object is changed. The modeling data generation method according to claim 11 or 12 . In the heating planning step, in the heating planning , at least one of the composition, strength, filling rate, microstructure, surface roughness, corrosion resistance, and heat resistance of the target product satisfies the second quality target value. The modeling data generation method according to claim 11 or 12 , wherein the energy input amount is determined. The input shape setting step is
An analysis step of generating the predicted shape data by performing a thermal stress analysis on the intermediate shape data based on the construction condition data corresponding to the heating plan.
A shape evaluation step of determining whether or not the shape change of the target object due to the heating plan is within an allowable range by detecting the difference between the three-dimensional shape data and the predicted shape data.
When the shape change of the target object is not within the permissible range, the inverse analysis step of performing the inverse analysis so that the predicted shape data approaches the three-dimensional shape data and correcting the intermediate shape data, and the inverse analysis step .
10. The modeling data generation method according to claim 10 . The tenth aspect of the present invention , wherein the pretreatment step sets a modeling posture of the target object based on the three-dimensional shape data, and generates the intermediate shape data based on the modeling posture. Modeling data generation method. The pretreatment step is characterized in that a support member necessary for modeling the target object is set based on the three-dimensional shape data, and the intermediate shape data is generated based on information about the support member. The modeling data generation method according to claim 10 . Further, there is a comprehensive evaluation step for determining whether or not the modeling data meets the comprehensive evaluation criteria including at least one of the first quality target value , the second quality target value, and the condition relating to the productivity of the target product. However, the comprehensive evaluation step permits the transmission of the modeling data when the comprehensive evaluation criteria are satisfied, and inputs the modeling data to the additional manufacturing apparatus when modeling the target object when the comprehensive evaluation criteria are not satisfied. The modeling data generation method according to claim 11 , wherein the possible intermediate shape data or at least one of the heating plans is changed.

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