CN107816951B - Honeycomb core surface shape measurement data burr minimizing technology - Google Patents
Honeycomb core surface shape measurement data burr minimizing technology Download PDFInfo
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- G01B11/00—Measuring arrangements characterised by the use of optical techniques
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Abstract
The invention discloses a kind of honeycomb core surface shape measurement data burr minimizing technologies, include the following steps:-obtain the 3 d shape data of honeycomb wicking surface；- moving window is set in integral honeycomb measurement data xOy plane, the data that only processing moving window is covered every time；- flat image of honeycomb core is established, carry out the identification on honeycomb core vertex；And image down certain proportion is identified into vertex；The threshold value of Corner Detection Algorithm is determined according to measurement data；- vertex of identification is analyzed one by one, it determines using it as the honeycomb side of endpoint；Search window is established for analysis angle point；The type of discriminatory analysis angle point；Determine the Corner of analysis angle point；Rectangular area is established for honeycomb side；- remove the plane burr in every honeycomb side measurement data；- remove the space burr in every honeycomb side measurement data.
Description
Technical field
The present invention relates to honeycomb core surface shape measurement data burr minimizing technologies.
Background technique
Honeycomb core is widely used in Aeronautics and Astronautics, ship and bullet train as splendid high intensity and microlight-type structure
Equal fields.Honeycomb core is the light-weight filler of sandwich, and upper and lower surface forms particular curvature through numerical control processing, with upper layer and lower layer
Thin plate with negative shape is connected together with gluing, constitutes honeycomb core sandwich.The quality of honeycomb core Machining of Curved Surface quality
With the height of machining accuracy, determines its reliability Nian Jie with upper lower thin sheet and then influence the property of entire honeycomb sandwich construction
Energy.Therefore before being bonded after processing, it is necessary to which the machining accuracy complex-curved to honeycomb core detects, and detects qualified component
Thin plate can be bonded and form honeycomb core sandwich component.Therefore a kind of measurement method is needed, for detecting the complexity after honeycomb core is processed
Curve form precision.
Honeycomb core finished surface has discontinuous feature.Honeycomb core is a kind of stephanoporate thin wall structure, honeycomb side thickness 0.05mm-
0.1mm, wall shape are mostly regular hexagon, wall side length 2-5mm, and honeycomb side section accounts for the ratio of its total surface area less than 10%, this
The discontinuous feature of kind causes the measurement of the complex-curved form accuracy of honeycomb core component difficult.
There are mainly two types of methods to detect honeycomb core machining accuracy for aerospace manufacturing enterprise at present.The first is using standard
Snap-gauge cooperates clearance gauge, relies on worker's experience detection honeycomb core surface shape precision, and this method is easy-to-use but measurement accuracy has
Limit, is commonly used in processing site, particularly manual cutting correction of the flank shape processing site.It is for second to use and detected honeycomb surface shape
The opposite metal form of shape pastes after the glue film of uniform thickness with honeycomb core finished surface to leaning on, and passes through and checks and imprint on glue film
Uniformity judges the form accuracy of honeycomb core finished surface.The detection accuracy of this method depends on the uniformity of film thickness,
It can be used as quality inspection means.But since the comb core material of each shape requires one piece of metal form, and aviation
Involved in honeycomb core part category it is very much, the at high cost of metal form, storage space demand are big, and detection is inconvenient.Therefore, such as
The form accuracy what fast and accurately evaluates honeycomb core has become restriction honeycomb core processing quality and guarantees to improve with processing technology
Bottleneck.
It is 201310485345.6 in number of patent application, a kind of entitled " survey of composite frame structure honeycomb core flatness
In the patent of amount method ", the gauge block of high-precision knife-edge ruler and the set of third or above accuracy class is utilized, in conjunction with height
The calculation method of difference, carries out the measurement of planeness of honeycomb core.The patent provides on the whole measure honeycomb core flatness method,
It is limited for the specific surface shape measurement precision of comb core material.
Application No. is 201610585321.1,201610585419.7 patents of invention to disclose one kind for honeycomb core face
Shape measurement method is covered with thin film on workpiece for measurement surface, with certain vacuum degree by film adsorption pressure in honeycomb wicking surface.
Workpiece surface coated with film is measured with laser micro-displacement sensor, obtains the measurement data of honeycomb core face shape.In this method
Overlay film is pressed in honeycomb side surface, can overwhelm the burr formed in processing, avoids honeycomb side surface spikes to measurement accuracy
It influences.But for overlay film but also measurement process is complicated, needs to increase overlay film and vacuum absorption device, unsuitable processing is existing before measuring
The real-time measurement of field.
If the pattern of honeycomb wicking surface after processing can be measured with laser micro-displacement sensor, form accuracy information is obtained,
The above process will be greatly simplified.But in direct measurement process, the burr of honeycomb core finished surface also can be measured, enter simultaneously
To honeycomb core shape measure data.But the height of burr does not reflect the real face shape height of honeycomb core, the presence of burr
It will affect the surface shape measurement precision of honeycomb core.Whether the measurement data of burr can be identified and be removed from measurement data, be sharp
Light micro-displacement sensor directly measures one of the key that can honeycomb core pattern method be realized.
Summary of the invention
The it is proposed of the present invention in view of the above problems, and the honeycomb core surface shape measurement data burr minimizing technology developed, including
Following steps:
The extending directions of two parallel edges in-selected honeycomb core plate in approximate hexagonal honeycomb or two parallel edges
Vertical direction is scanned honeycomb core plate to be identified as scanning direction；It obtains and stores selected honeycomb core in the matrix form
The 3 d shape data of plate, using the extending direction of the parallel edges as coordinate system Y-axis, the row information of the corresponding matrix is put down
The vertical direction on row side is as X-axis, the column information of homography；Numerical value of the thickness of honeycomb core plate as element in matrix；
Being defined on burr high-visible in the face xOy is plane burr；It is invisible in the face xOy, but its height/thickness value
The burr for deviateing normal cellular number of edges evidence is space burr；
- moving window is set in xOy plane in the graphic data of integral honeycomb face, take data z coordinate value in moving window
Average value is threshold value, and the data that z coordinate value is less than threshold value are removed, can remove the measurement data in honeycomb core cell；
- flat image of honeycomb core is established, pass through the vertex that Corner Detection Algorithm identifies honeycomb core；
- according to the vertex of the honeycomb core identified, the area comprising every honeycomb side is marked off in raw measurement data
Domain, to extract the data information on every honeycomb side, the i.e. value of xyz；
- remove the plane burr in every honeycomb side measurement data；- by the space in every honeycomb side measurement data
Burr removal；
- pass through the step-length and all face graphic datas of order traversal of setting；After the completion of current step data processing, it is spliced into
Overall data obtains the honeycomb core image of removal space burr and plane burr.
As preferred embodiment, the size of-moving window is not less than 2 lattice × 2 lattice honeycomb core unit,
Moving window stepping along the x-axis direction, to end after correcting action, along the y-axis direction advance a step-length, continue edge
X-axis direction stepping, and so on, traverse all measurement data；
The moving window is respectively smaller than it in the length in each direction in the length of x-axis and the stepping of y-axis direction, with
Making adjacent moving window, there are the regions being centainly overlapped；The width of overlapping region is not less than the half of cellular unit width；
When the moving window is spliced after data processing, overlapping region, which respectively takes, is moved forward and backward the one of window data
Half.
As preferred embodiment, the Corner Detection Algorithm that the vertex recognition of the honeycomb core uses includes
Harris, SUSAN, CSS scheduling algorithm；In order to ensure all vertex are identified, the angle point number of algorithm identification is slightly above pushed up
Points；
As preferred embodiment, the detailed process of the honeycomb border region division are as follows:
- using Corner Detection Algorithm identification honeycomb core plate plane projection image, obtain the honeycomb core plate plane figure
Cellular angle point as in；
- for selected angle point, establish the length direction rectangular search window vertical with the two parallel edges extending direction
Mouthful；Boundary frame area midpoint in the rectangular search frame is placed in the corner location of present analysis, calculates in rectangular search window it
Regional location locating for its angle point and the relative position with the present analysis angle point, determine the present analysis angle point whether be
Hexagon along the y axis/parallel edges extending direction to angular vertex；
To angular vertex by the form of relative position and the hexagon side of connection, it is divided into humanoid vertex and Y shape vertex；
- it using selected honeycomb hexagonal side length as judgement other angle points whether is sentencing for the other vertex of hexagon
According to identifying cellular whole vertex and interference angle point, and then identify in honeycomb core plate between hexagonal honeycomb core kind vertex
Side, and mark off the region of the data on the side comprising being identified.
Further, whether the angle point for determining the present analysis is hexagon along the y axis specific to angular vertex
It is as follows:
- divide the rectangular search window are as follows: parallel edges determinating area: α1<α<α2With bevel edge determinating area α < α1,
α>α2；Wherein, α1And α2For the maximum angle range where parallel edges；
- in rectangular area if in region alpha1<α<α2In there are angle point, then present analysis angle point is humanoid vertex；It is no
Then, determine that present analysis angle point is Y shape vertex；
- selected the parallel edges is the double-deck side in honeycomb, that is, is bonded the side of adjacent cell hexagon；Described
It is selected in rectangular search window and the present analysis angle point, that is, the target angle on the Y shape vertex and humanoid vertex correspondence identified
Point；
When analyzing angle point is humanoid vertex, Corner is the closest double-deck edge lengths of the length of distance analysis angle point
Angle point；It analyzes between angle point and Corner as the parallel edges in honeycomb；Analysis angle point and Corner between angle point be
Extra angle point is deleted；
When analyzing angle point is Y shape vertex, two Corner is analyzed respectively in two bevel edge determinating areas；Two
In a region, Corner is respectively the length of distance analysis angle point closest to the angle point of single layer edge lengths；Analyze angle point and mesh
It is respectively bevel edge 1 and bevel edge 2 to be determined between mark angle point；
Analyzing the angle point between angle point and Corner is extra angle point, is deleted.
As preferred embodiment, the described plane burr removal is carried out in xOy plane, including is removed roughly and finely
Removal；It is when the rough removal of burr, the xy coordinate fitting of remaining honeycomb number of edges evidence is in alignment, it will surpass apart from the curve
Cross d1Point removal；By the process Repeated m1It is secondary, it is gradually reduced d1Value；Last time d1Value be honeycomb hem width degree
1.5 again；It, will be apart from the curve by the xy coordinate fitting of remaining honeycomb number of edges evidence at a curve when the fine removal of burr
More than d2Point removal；By the process Repeated m2It is secondary, it is gradually reduced d2Value；Last time d2Value be honeycomb hem width degree
1/2.
As preferred embodiment, the space burr removal carries out in the space xyz, by the xyz coordinate on honeycomb side
It is fitted to a plane, will be more than the point removal of h apart from the plane；The process is repeated into n times, is gradually reduced the value of h；Finally
The value of h is the 1/2 of single honeycomb side measurement data fluctuation range；
Further, in the application Corner Detection Algorithm, flat image is first reduced into certain proportion, is made in bee
The pixel in nest hem width degree direction is less than 3, after identifying angle point, then the position of angle point is amplified according to reduced scale, is obtained
Obtain the position that angle point is corresponded in raw measurement data；
Further, when determining the threshold value of the Corner Detection Algorithm, in the initial data of honeycomb core measurement,
The rectangular area of a certain number of integral multiple cellular units is randomly choosed, number of vertex is 2 times of unit number, according to angle point number
Amount need to exceed the ratio of number of vertex, can determine the angle point quantity for needing to identify；
In certain threshold range, constantly change threshold value, finds threshold value corresponding angles and count closest to the threshold of required angle point number
Value；
A certain number of rectangular areas are randomly choosed, threshold value, its average value of last threshold value can be obtained respectively.
Further, the honeycomb border region is shaped to rectangle, and single layer border region is with the angle point at its both ends
For the rectangular area of angle steel joint；The angle point at the double-deck both ends Bian Yiqi is the rectangle of angle steel joint, then respectively expands to two sides width direction
The region of its width size.
Detailed description of the invention
For the clearer technical solution for illustrating the embodiment of the present invention or the prior art, to embodiment or will show below
There is attached drawing needed in technical description to do one simply to introduce, it should be apparent that, the accompanying drawings in the following description is only
Some embodiments of the present invention without creative efforts, may be used also for those of ordinary skill in the art
To obtain other drawings based on these drawings.
Fig. 1 is honeycomb core measurement data burr removal flow chart of the present invention.
Fig. 2 is the classification schematic diagram of honeycomb core burr.
Fig. 3 is moving window setting schematic diagram.
Fig. 4 is that honeycomb core is in kind in embodiment.
Fig. 5 is that initial data is measured in embodiment.
Fig. 6 is the effect in embodiment after honeycomb core measurement data removal background data, and wherein Bluepoint is the angle point of identification.
Fig. 7 is honeycomb side and angle point classification schematic diagram.
Fig. 8 is analysis angle point search window schematic diagram.
Fig. 9 is that the judgement of honeycomb core angle point type and Corner determine schematic diagram.
Figure 10 is that honeycomb border region divides schematic diagram.
Figure 11 is that honeycomb border region divides effect picture in embodiment.
Figure 12 is honeycomb core plane burr removal effect figure in embodiment.
Figure 13 is burr removal effect figure in honeycomb core space in embodiment.
Figure 14 is that the burr of exemplar one in embodiment goes division result.
Figure 15 is that the burr of exemplar two in embodiment goes division result.
Specific embodiment
To keep the purposes, technical schemes and advantages of the embodiment of the present invention clearer, below with reference to the embodiment of the present invention
In attached drawing, technical solution in the embodiment of the present invention carries out clear and complete description:
As shown in figures 1-15: the technical solution adopted by the present invention implements step are as follows:
1. obtaining the 3 d shape data of honeycomb wicking surface
It is scanned measurement by surface of the laser displacement sensor to honeycomb core, scanning direction is along honeycomb core bilayer side
Or perpendicular to the double-deck edge direction.Laser light incident direction is along honeycomb edge direction.Sample frequency and feeding distance are kept when scanning
Centainly, the face graphic data of acquisition is constant along scanning direction and perpendicular to scanning direction data break.Face graphic data after scanning with
Matrix form storage, makes the line direction of the double-deck edge direction matrix.Numerical value in matrix is the height value of honeycomb core, where
Row and column is its position in honeycomb core.Using matrix column as x-axis, with the behavior y-axis of matrix, the numerical value of storage is z-axis, is built
Vertical rectangular coordinate system in space.
In honeycomb core measurement data, honeycomb number of edges is mixed with the burr that different in size, area is indefinite, direction is changeable in.
Being defined on burr high-visible in the face xOy is " plane burr "；And it is invisible in the face xOy, but the normal bee of its highly deviated
The burr of nest number of edges evidence is " space burr ", as shown in Figure 2.
2. moving window is arranged
The software for calculation that the present invention uses is Matlab.Since the honeycomb core area of actual treatment is larger, disposed of in its entirety meeting
Biggish calculator memory is occupied, arithmetic speed is influenced.Therefore, will be arranged in the face xOy to integral honeycomb face graphic data herein
Moving window only handles the data in moving window, as shown in shadow region in Fig. 3 every time.Honeycomb core overall dimensions Lt×Wt,
KijFor each moving window, having a size of Lw×Ww。
The size of the moving window can be arranged according to calculator memory, theoretically be not less than 2 lattice × 2 lattice honeycomb list
Member；
Moving window stepping along the x-axis direction, to end after correcting action, along the y-axis direction advance a step-length, after
Continuous stepping along the x-axis direction, and so on, traverse all measurement data.The data in moving window are only handled every time.
The moving window is respectively smaller than it in the length in each direction, so that adjacent in the length of x-axis and the stepping of y-axis direction
There are the regions being centainly overlapped for moving window；The width of overlapping region is not less than the half of cellular unit width.
When the moving window is spliced after data processing, overlapping region, which respectively takes, is moved forward and backward the one of window data
Half.
3. removing data in honeycomb cell
The data of this part processing are the data in each moving window, hereafter also identical.Laser micro-displacement sensor into
In the data result of row scanning survey, the cell partial data point other than honeycomb side deviates considerably from normal data.Take moving window
The average value of middle data z coordinate value is threshold value, and the data that z coordinate value is less than threshold value are removed, can will be in honeycomb core cell
Measurement data removal.
4. carrying out the vertex recognition of honeycomb core
The identification on honeycomb core vertex uses existing Corner Detection Algorithm, can be Harris, SUSAN, CSS scheduling algorithm.
The object of these algorithms application is flat image, therefore, by converting pixel value for the height value of honeycomb core, is obtained
The flat image for obtaining honeycomb core can be obtained the position of the angle point of honeycomb core using Corner Detection Algorithm.
So that the angle point obtained is met the vertex of honeycomb core in order to obtain, do following improvement herein:
1) honeycomb core image down is handled
The honeycomb core of actual measurement needs to measure enough to obtain high-precision data in the thickness direction of honeycomb wall
Data so that honeycomb wall has no longer been a curve, but a relatively narrow bar-shaped zone.Directly calculated using Corner Detection
Method may be identified as angle point in the rough place of honeycomb wall, so that occurring many extra angle points on honeycomb side.
In order to more accurately find the vertex of honeycomb core, the image down certain proportion of honeycomb core makes in honeycomb wall
The data point of width direction is less than three.
It finds angle point and then amplifies the position of angle point according to reduced scale, it is original to can be obtained corresponding honeycomb core
The angle point of measurement data.
2) determination of Corner Detection Algorithm threshold value
In order to identify whole honeycomb side leakages, need to identify all honeycomb core vertex, the angle actually identified
Points should be slightly more than number of vertex.Angle points N selected by the present inventionAngleWith honeycomb core number of vertex NTopRelationship are as follows:
NAngle=ω × NTop(ω>1)
The different honeycomb core of honeycomb core or same model burr degree for different model, corresponding to angle point
The threshold value of detection algorithm is different.Therefore the present invention proposes a kind of based on measurement data, and intelligence determines Corner Detection Algorithm threshold
The method of value.
For in the honeycomb core unit of integral multiple, number of vertex is two times of unit number.
In the same area, the angle point number identified can be gradually decreased with the increase of threshold value pair, therefore can find corresponding angles
It counts closest to NAngleThreshold value.Concrete methods of realizing is as follows:
Setting fixed dimension can include the rectangular area of the honeycomb core unit of integral multiple first: rectangular area is along honeycomb core
The direction W length is m × Wf, it is n × (L along the direction L lengthf1+Lf2), wherein m, n are positive integer；
Corresponding number of vertex is
NTop=2 × m × n
The correspondence angle point number to be identified is
NAngle=ω × NTop=ω × 2 × m × n (ω > 1)
In the section threshold range [a, b], P value, constantly increase threshold value are taken, honeycomb core angle is identified in rectangular area
Point therefrom selects angle point number closest to NAngleThreshold value.
Q rectangular area is randomly choosed, Q threshold value can be obtained, last threshold value is its average value.
5. carrying out the identification of honeycomb border region
According to the position of the angle point identified, honeycomb border region is identified in initial data, it is every to extract
The data information on honeycomb side.
Honeycomb core can be divided into three classes while according to direction: 1 when single layer, double-deck in, single layer 2；In honeycomb core hexagon
In vertex, the vertex for defining surrounding side distribution such as " people " word is " humanoid vertex ", and such as vertex of " Y " word is " Y shape vertex ", is such as schemed
Shown in 7；
In order to identify all honeycomb sides, and honeycomb side is avoided to repeat to identify, it is right according to the sequence increased by y-coordinate
The angle point identified is analyzed one by one, and is only determined in its positive direction of the y-axis using the vertex as the side of endpoint, one honeycomb of every identification
Side, while the extra angle point being located among the honeycomb side is deleted.
Extra angle point can be deleted before analysis by following algorithm, therefore the angle point analyzed can only be two types
The vertex of type.
Note is analyzing angle point for analysis angle point, shown in FIG as Xi, the honeycomb side that will determine another
Vertex is Corner.Identify extra angle point in figure with C on honeycomb sideiIt indicates.Then analyze angle point be humanoid vertex when,
It corresponds to a Corner, can determine the double-deck side using it as endpoint；And there are two the Corners of Y shape vertex correspondence,
It can determine two single layer sides using it as endpoint.
After analysis angle point looks for its Corner, the region comprising every honeycomb side can be marked off according to its position.
Detailed process is as follows, as seen in figs. 8-10:
1) search window is established for analysis angle point
Search window is established right above analysis angle point, it is a fixed-size rectangular area that it, which is arranged, in the present invention,
Satisfaction includes the honeycomb side that need to completely identify, and does not include other honeycomb sides as far as possible.Rectangle selected by the present invention is searched
The size of rope window such as Fig. 8.
It is as small as possible that the rule of the hough transform window of foundation is desirable to window size, that is, does not need comprising other sides, no
Larger interference can be then generated, is pretended as preferred embodiment, the length of the window is 1.5 times of honeycomb parallel edges distance, width
It is 1.25 times of the parallel edge lengths of honeycomb.
Other angle points in the rectangular search window are searched for, therefrom to determine Corner.Due to actual honeycomb core
Cell there is deformation, cell size and its theoretical size of each honeycomb core be deviated.Therefore, the search window is in addition to packet
Outside containing Corner, it is also possible to include extra angle point on honeycomb side and other be not the vertex of Corner.
2) type of discriminatory analysis angle point
According to three kinds of honeycomb sides in rectangular area present in regional scope, entire rectangular area is divided into three regions.
Point inside rectangular area is α relative to the drift angle of analysis angle point, as shown in figure 9, three regions are respectively as follows:
1 region of single layer side is 1.: α < α1；
The double-deck border region is 2.: α1<α<α2；
2 region of single layer side is 3.: α > α2。
Wherein α1And α2For the maximum magnitude where the double-deck edge direction.
In rectangular area if region 2. in there are angle point, which is humanoid vertex；Otherwise, it is determined that being Y
Shape vertex.
3) Corner of analysis angle point is determined
After the type for determining analysis angle point, two kinds of angle point is handled respectively, from the angle point in search window
Determine Corner.
When analyzing angle point is humanoid vertex, Corner is the closest double-deck edge lengths of the length of distance analysis angle point
Angle point；It is the double-deck side to be determined between analysis angle point and Corner；Analyze the angle point between angle point and Corner
It for extra angle point, is deleted, makes it not by as analysis angle point analysis；
When analyze angle point be Y shape vertex when, two Corner region 1. with region 3. in analyze respectively；At two
In region, Corner is respectively the length of distance analysis angle point closest to the angle point of single layer edge lengths；Analyze angle point and target
It is respectively single layer to be determined between angle point at 1 and single layer 2；It is extra for analyzing the angle point between angle point and Corner
Angle point is deleted.
4) rectangular area is established for honeycomb side
For the double-deck side, if only choosing two angle points as the rectangular area on vertex as honeycomb wall region, this
The hard segmentation of kind will be lost the point of this rectangular area outer ledge, and information loss is more serious.Therefore it is each along two sides width
Expand its width size, obtains a slightly larger rectangular area as double-deck side honeycomb wall region.For single layer at 1 and single layer
2, it is that rectangular area is established as honeycomb wall region to angular vertex using the angle point at its both ends.
6. plane burr removes
After the identification of honeycomb border region, every honeycomb side is individually handled.
Compare plane burr and space burr, plane burr need to only remove in xOy plane, and space burr need to be in xyz
It is removed in space.The quantity of plane burr is significantly larger than space burr.Therefore, the removal for carrying out plane burr first, reduces it
In the presence of the influence removed to space burr, the precision of space burr removal is improved.
The removal of plane burr is carried out in xOy plane, is carried out the rough removal of burr first, is then carried out the essence of burr again
Thin removal.
It is when the rough removal of burr, the xy coordinate fitting of remaining honeycomb number of edges evidence is in alignment, it can roughly generation
The distribution on table honeycomb side will be more than d apart from the curve1Point removal, most of burr can be removed；By the process Repeated m1It is secondary,
It is gradually reduced d1Value；Last time d1Value be 1.5 times of honeycomb hem width degree.
When fitting a straight line, fit approach is a fitting of a polynomial.
When the fine removal of burr, by the xy coordinate fitting of remaining honeycomb number of edges evidence at a curve, to approach honeycomb
The true distributional pattern on side will be more than d apart from the curve2Point removal, can be by the removal of burr near honeycomb side；By the process
Repeated m2It is secondary, it is gradually reduced d2Value；Last time d2Value be honeycomb hem width degree 1/2.
When matched curve, fit approach is high-order moment or spline curve fitting.
7. space burr removes
The removal of space burr carries out in the space xyz.Due to single honeycomb side since basic size is very small, in three-dimensional space
Between on close to a small plane.Therefore, by the xyz coordinate fitting on honeycomb side at a plane, fit approach is primary more
Item formula will be more than the point removal of h apart from the plane.The process is repeated into n times, is gradually reduced the value of h.Last time h's takes
Value is the 1/2 of single honeycomb side measurement data fluctuation range.
Embodiment 1
1. obtaining the 3 d shape data of honeycomb wicking surface
Laser micro-displacement sensor selected by the present embodiment is the ultrahigh speed profile measurer (LJ- of Keyemce company
V7060).The measurement of stable and ultrahigh speed may be implemented using blue semiconductor laser in the measuring instrument, the sampling interval up to 16 μ s,
Its Z-direction duplicate measurements precision measures 20 μm of outline data interval up to 0.4 μm, and the laser line length of measurement is 15mm.It surveys
When amount, profile measurer gauge head is mounted on three axis numerically controlled machine, honeycomb core exemplar is fixed on platen, by lathe control
The movement of ratch profile measuring apparatus gauge head, is scanned the surface of honeycomb core.When honeycomb core is scanned, along the direction honeycomb core L
Scanning, the data dot density of acquisition are 40 points/mm × 50 point/mm.The paper honeycomb core of selection such as Fig. 4, laser micro-displacement passes
Sensor measurement data result such as Fig. 5.
2. moving window is arranged
The process is suitble to apply when the honeycomb area of actual measurement is larger, and the honeycomb area of the present embodiment measurement is smaller, will
Overall data process directly is carried out to it.
3. removing data in honeycomb cell
The data of this part processing are the data in each moving window, hereafter also identical.Take data in moving window
Average value is threshold value, and the data for being less than threshold value are removed, can remove the measurement data in honeycomb core cell.Fig. 6 background is gone
Effect after removing.
4. carrying out the vertex recognition of honeycomb core
The Corner Detection Algorithm that the present embodiment is selected is Harris Corner Detection Algorithm.And carry out:
1) honeycomb core image down is handled
The height value of honeycomb wall is converted into pixel value first, to obtain flat image.This example is by the flat image
Reduce 5 times.It finds angle point and then the position of angle point is amplified 5 times, that is, can determine that honeycomb core raw measurement data is corresponding
Angle point obtains position.
2) determination of Corner Detection Algorithm threshold value
Fixed-size rectangular area set by this example are as follows: rectangular area is 5 × W along honeycomb core W direction lengthf,
It is 5 × (Lf along the direction L length1+Lf2), corresponding number of vertex
NTop=50
The value of ω depends on the model and burr degree of honeycomb core, and the exemplar tested in the present invention is set as 1.05, then should
The corresponding angle point number in rectangular area
NAngle=1.1 × 50=55
20 points, constantly increase threshold value will be equidistantly taken in threshold range [0,1] section, and honeycomb is identified in rectangular area
Core angle point therefrom selects angle point number closest to 55 threshold value.
And 20 rectangular search regions are randomly choosed, 20 threshold values are obtained as a result, last threshold value is their mean value.
The result such as the Bluepoint in Fig. 6 of corner recognition.
5. carrying out the identification of honeycomb border region
According to the position of the angle point identified, honeycomb border region is identified in initial data, it is every to extract
The data information on honeycomb side.
Honeycomb core can be divided into three classes while according to direction: 1 when single layer, double-deck in, single layer 2；In honeycomb core hexagon
In vertex, the vertex for defining surrounding side distribution such as " people " word is " humanoid vertex ", and such as vertex of " Y " word is " Y shape vertex ", is such as schemed
Shown in 2.
In order to identify all honeycomb sides, and honeycomb side is avoided to repeat to identify, it is right according to the sequence increased by y-coordinate
The angle point identified is analyzed one by one, and is only determined in its positive direction of the y-axis using the vertex as the side of endpoint, one honeycomb of every identification
Side, while the extra angle point being located among the honeycomb side is deleted.
Extra angle point can be deleted before analysis by following algorithm, therefore the angle point analyzed can only be two types
The vertex of type.
Note is analyzing angle point for analysis angle point, shown in FIG as Xi, the honeycomb side that will determine another
Vertex is Corner.Identify extra angle point in figure with C on honeycomb sideiIt indicates.Then analyze angle point be humanoid vertex when,
It corresponds to a Corner, can determine the double-deck side using it as endpoint；And there are two the Corners of Y shape vertex correspondence,
It can determine two single layer sides using it as endpoint.
After analysis angle point looks for its Corner, the region comprising every honeycomb side can be marked off according to its position.
Detailed process is as follows, as seen in figs. 8-10:
1) search window is established for analysis angle point
Search window is established right above analysis angle point, it is a fixed-size rectangular area that it, which is arranged, in the present invention,
Satisfaction includes the honeycomb side that need to completely identify, and does not include other honeycomb sides as far as possible.Rectangle selected by the present invention is searched
The size of rope window such as Fig. 8.
Other angle points in the rectangular search window are searched for, therefrom to determine Corner.Due to actual honeycomb core
Cell there is deformation, cell size and its theoretical size of each honeycomb core be deviated.Therefore, the search window is in addition to packet
Outside containing Corner, it is also possible to include extra angle point on honeycomb side and other be not the vertex of Corner.
2) type of discriminatory analysis angle point
According to three kinds of honeycomb sides in rectangular area present in regional scope, entire rectangular area is divided into three regions.
Point inside rectangular area is α relative to the drift angle of analysis angle point, as shown in figure 9, three regions are respectively as follows:
1 region of single layer side is 1.: α < 110 °
The double-deck border region is 2.: 70 ° < α < 110 °
2 region of single layer side is 3.: α > 70 °
In rectangular area if region 2. in there are angle point, which is humanoid vertex；Otherwise, it is determined that being Y
Shape vertex.
3) Corner of analysis angle point is determined
After the type for determining analysis angle point, two kinds of angle point is handled respectively, from the angle point in search window
Determine Corner.
When analyzing angle point is humanoid vertex, Corner is the closest double-deck edge lengths of the length of distance analysis angle point
Angle point；It is the double-deck side to be determined between analysis angle point and Corner；Analyze the angle point between angle point and Corner
It for extra angle point, is deleted, makes it not by as analysis angle point analysis；
When analyze angle point be Y shape vertex when, two Corner region 1. with region 3. in analyze respectively；At two
In region, Corner is respectively the length of distance analysis angle point closest to the angle point of single layer edge lengths；Analyze angle point and target
It is respectively single layer to be determined between angle point at 1 and single layer 2；It is extra for analyzing the angle point between angle point and Corner
Angle point is deleted.
4) rectangular area is established for honeycomb side
For the double-deck side, if only choosing two angle points as the rectangular area on vertex as honeycomb wall region, this
The hard segmentation of kind will be lost the point of this rectangular area outer ledge, and information loss is more serious.Therefore it is each along two sides width
Expand its width size, obtains a slightly larger rectangular area as double-deck side honeycomb wall region.For single layer at 1 and single layer
2, it is that rectangular area is established as honeycomb wall region to angular vertex using the angle point at its both ends.Single layer while 1, it is double-deck while and single layer side 2
Honeycomb border region establish form it is as shown in figure 11.
6. plane burr removes
After the identification of honeycomb border region, every honeycomb side is individually handled.
The removal of plane burr is carried out in xOy plane.
Firstly, the xy coordinate fitting of remaining honeycomb number of edges evidence is in alignment, fit approach is quasi- for 1 order polynomial
It closes, will be more than d apart from the curve1Point removal；The process is repeated 3 times, d1Value be respectively honeycomb hem width degree 4,2.5,
1.5 again.
Then, by the xy coordinate fitting of remaining honeycomb number of edges evidence at a curve, fit approach is quasi- for 5 order polynomials
It closes, will be more than d apart from the curve2Point removal.The process is repeated 3 times, d2Value be respectively honeycomb hem width degree 1.5,1,
0.5 times.
Effect such as Figure 12 after the removal of plane burr.
7. space burr removes
The removal of space burr carries out in the space xyz.By the xyz coordinate fitting on honeycomb side at a plane, fit approach
It will be more than the point removal of h apart from the plane for an order polynomial.The process is repeated 4 times, the value of h is respectively single honeycomb
4,2,1,0.5 times of side measurement data fluctuation range.Effect such as Figure 13 after the removal of space burr.
The present invention chooses the verifying that two exemplars carry out above method.
Exemplar one is the paper honeycomb core that surface face shape is inclined-plane；Exemplar two is the aluminium honeycomb core that surface face shape is curved surface.
Its result is respectively as shown in Figure 14,15, wherein (a) is their pictorial diagram；It (b) is the result figure of laser measurement；
It (c) is the result figure after burr removal.
The foregoing is only a preferred embodiment of the present invention, but scope of protection of the present invention is not limited thereto,
Anyone skilled in the art in the technical scope disclosed by the present invention, according to the technique and scheme of the present invention and its
Inventive concept is subject to equivalent substitution or change, should be covered by the protection scope of the present invention.
Claims (10)
1. a kind of honeycomb core surface shape measurement data burr minimizing technology, it is characterised in that include the following steps:
The extending directions of two parallel edges in-selected honeycomb core plate in approximate hexagonal honeycomb or two parallel edges it is vertical
Direction is scanned honeycomb core plate to be identified as scanning direction；It obtains and stores selected honeycomb core plate in the matrix form
3 d shape data, using the extending direction of the parallel edges as coordinate system Y-axis, the row information of the corresponding matrix, parallel edges
Vertical direction as X-axis, the column information of homography；Numerical value of the thickness of honeycomb core plate as element in matrix；
Being defined on burr high-visible in the face xOy is plane burr；It is invisible in the face xOy, but its height/thickness value deviates
The burr of normal cellular number of edges evidence is space burr；
- in the face xOy of integral honeycomb face graphic data middle setting moving window, take the flat of the z coordinate value of data in moving window
Mean value is threshold value, and the data that z coordinate value is less than threshold value are removed, can remove the measurement data in honeycomb core cell；
- flat image of honeycomb core is established, pass through the vertex that Corner Detection Algorithm identifies honeycomb core；
- according to the vertex of the honeycomb core identified, the region comprising every honeycomb side is marked off in raw measurement data, with
Extract the data information on every honeycomb side, the i.e. value of xyz；
- remove the plane burr in every honeycomb side measurement data；- by the space burr in every honeycomb side measurement data
Removal；
- pass through the step-length and all face graphic datas of order traversal of setting；After the completion of current step data processing, splice integral
Data obtain the honeycomb core image of removal space burr and plane burr.
2. honeycomb core surface shape measurement data burr minimizing technology according to claim 1, it is further characterized in that: the shifting
The size of dynamic window, is not less than 2 lattice × 2 lattice honeycomb core unit, moving window stepping along the x-axis direction, to after end
Correcting action a, step-length of advancing along the y-axis direction, continues on x-axis direction stepping, and so on, traverse all measurements
Data；
The moving window is respectively smaller than it in the length in each direction, so that phase in the length of x-axis and the stepping of y-axis direction
There are the regions being centainly overlapped for adjacent moving window；The width of overlapping region is not less than the half of cellular unit width；
When the moving window is spliced after data processing, overlapping region respectively takes the half for being moved forward and backward window data.
3. honeycomb core surface shape measurement data burr minimizing technology according to claim 1, it is further characterized in that: the bee
The Corner Detection Algorithm that the vertex recognition of nest core uses includes Harris, SUSAN or CSS algorithm；In order to ensure all vertex
It is identified, the angle point number of algorithm identification is slightly above number of vertex.
4. honeycomb core surface shape measurement data burr minimizing technology according to claim 1, it is further characterized in that the bee
The detailed process that nest border region divides are as follows:
- using Corner Detection Algorithm identification honeycomb core plate plane projection image, it obtains in the honeycomb core plate plane projection image
Cellular angle point；
- for selected angle point, establish the length direction rectangular search window vertical with the two parallel edges extending direction；It will
Boundary frame area midpoint in the rectangular search frame is placed in the corner location of present analysis, calculates other angle points in rectangular search window
Locating regional location and relative position with the present analysis angle point, determine whether the angle point of the present analysis is hexagon
Along the y axis/parallel edges extending direction is to angular vertex；
To angular vertex by the form of relative position and the hexagon side of connection, it is divided into humanoid vertex and Y shape vertex；
- using selected honeycomb hexagonal side length as determine other angle points whether be the other vertex of hexagon criterion, knowledge
Not Chu cellular whole vertex and interference angle point, and then identify the side in honeycomb core plate between hexagonal honeycomb core kind vertex,
And mark off the region of the data on the side comprising being identified.
5. honeycomb core surface shape measurement data burr minimizing technology according to claim 4, it is further characterized in that described in determining
Whether the angle point of present analysis is hexagon along the y axis specific as follows to angular vertex:
- divide the rectangular search window are as follows: parallel edges determinating area: α1<α<α2With bevel edge determinating area α < α1, α > α2；
Wherein, α1And α2For the maximum angle range where parallel edges；
- in rectangular area if in region alpha1<α<α2In there are angle point, then present analysis angle point is humanoid vertex；Otherwise, sentence
Determining present analysis angle point is Y shape vertex；
- selected the parallel edges is the double-deck side in honeycomb, that is, is bonded the side of adjacent cell hexagon；In the rectangle
It is selected in search window and the present analysis angle point, that is, the Corner on the Y shape vertex and humanoid vertex correspondence identified；
When analyzing angle point is humanoid vertex, Corner is the angle of the closest double-deck edge lengths of the length of distance analysis angle point
Point；It analyzes between angle point and Corner as the parallel edges in honeycomb；It is extra for analyzing the angle point between angle point and Corner
Angle point is deleted；
When analyzing angle point is Y shape vertex, two Corner is analyzed respectively in two bevel edge determinating areas；In the area Liang Ge
In domain, Corner is respectively the length of distance analysis angle point closest to the angle point of single layer edge lengths；Analyze angle point and target angle
It is respectively bevel edge 1 and bevel edge 2 to be determined between point；
Analyzing the angle point between angle point and Corner is extra angle point, is deleted.
6. honeycomb core surface shape measurement data burr minimizing technology according to claim 1, it is further characterized in that: described is flat
Burr removal in face is carried out in xOy plane, including is removed roughly and finely removed；When the rough removal of burr, by remaining honeycomb
The xy coordinate fitting of number of edges evidence is in alignment, will be more than d apart from the straight line1Point removal；By the process Repeated m1It is secondary, gradually
Reduce d1Value；Last time d1Value be 1.5 times of honeycomb hem width degree；
When the fine removal of burr, by the xy coordinate fitting of remaining honeycomb number of edges evidence at a curve, it will surpass apart from the curve
Cross d2Point removal；By the process Repeated m2It is secondary, it is gradually reduced d2Value；Last time d2Value be honeycomb hem width degree
1/2。
7. honeycomb core surface shape measurement data burr minimizing technology according to claim 1, it is further characterized in that: the sky
Between burr removal the space xyz carry out, will be more than the point of h apart from the plane by the xyz coordinate fitting on honeycomb side at a plane
Removal；The process is repeated into n times, is gradually reduced the value of h；The value of last time h is the fluctuation of single honeycomb side measurement data
The 1/2 of range.
8. honeycomb core surface shape measurement data burr minimizing technology according to claim 3, it is further characterized in that: applying institute
When the Corner Detection Algorithm stated, flat image is first reduced into certain proportion, is made in the pixel in honeycomb hem width degree direction less than 3
It is a, after identifying angle point, then the position of angle point amplified according to reduced scale, acquisition corresponds to angle point in raw measurement data
Position.
9. honeycomb core surface shape measurement data burr minimizing technology according to claim 3, it is further characterized in that: determining
When the threshold value for the Corner Detection Algorithm stated, in the initial data of honeycomb core measurement, a certain number of integral multiple bees are randomly choosed
The rectangular area of nest unit, number of vertex are 2 times of unit number, and the ratio of number of vertex need to be exceeded according to angle point quantity, can be with
Determine the angle point quantity for needing to identify；
In certain threshold range, constantly change threshold value, finds threshold value corresponding angles and count closest to the threshold value of required angle point number；
A certain number of rectangular areas are randomly choosed, threshold value, its average value of last threshold value can be obtained respectively.
10. honeycomb core surface shape measurement data burr minimizing technology according to claim 4, it is further characterized in that:
- honeycomb the border region is shaped to rectangle, and single layer border region is using the angle point at its both ends as the rectangle of angle steel joint
Region；The angle point at the double-deck both ends Bian Yiqi is the rectangle of angle steel joint, then respectively expands the area of its width size to two sides width direction
Domain.
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