CN113486506A - Large-size integral wallboard processing method based on three-dimensional detection data - Google Patents
Large-size integral wallboard processing method based on three-dimensional detection data Download PDFInfo
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Abstract
The invention provides a large-size integral wallboard processing method based on three-dimensional detection data, which comprises the following steps: positioning mark points are distributed on the surface of the blank and at least three alignment target seats are fixed on the same plane; carrying out front and back three-dimensional scanning on the full appearance of the blank to obtain blank point cloud data; processing the point cloud data to construct a blank three-dimensional model; importing the three-dimensional model of the blank into a product three-dimensional model for model comparison, and determining the optimal utilization state of the blank; establishing a processing coordinate system associated with the characteristics of the three-dimensional model of the product according to the three-dimensional model of the product, selecting at least three alignment target seats as alignment reference points, and acquiring coordinate values of the alignment reference points under the determined processing coordinate system of the product; and placing the blank on a workbench surface of a numerical control machine tool, clamping and aligning the blank by taking the alignment reference point as an object, and then processing the product. The method of the invention utilizes the existing blank to the maximum extent, can greatly reduce the time for marking, clamping and aligning the blank and reduce the processing cost.
Description
Technical Field
The invention belongs to the technical field of digital manufacturing, and particularly relates to a large-size integral wallboard processing method based on three-dimensional detection data.
Background
Large-size integral wall plate structures, such as column section wall plates, cone section wall plates and the like, are commonly used in the aspect of large-scale spacecraft sealed cabin sections. However, in the aspect of processing the large-size integral wallboard, because the large-size integral wallboard has a large structural size (the diameter is larger than phi 1000mm, and the height is larger than 500mm), complex characteristics and high requirements on the performance of raw materials (A-level flaw detection), it is difficult to directly obtain a product blank with good performance, accurate size and uniform allowance. The large-size blank is obtained by adopting a tailor-welding and forming process, and the blank has large deformation, irregular shape and uneven allowance after being subjected to the action of heat force in a welding forming process and the like, so that the difficulty is brought to the accurate processing of the whole wall plate.
Disclosure of Invention
The large-size integral wallboard blank obtained by welding has the problems of irregular shape, lack of reference characteristics on the surface of a product and the like, so that the accurate processing of the integral wallboard is difficult. The invention overcomes the problems of insufficient forming precision, irregular shape, uneven allowance, uncontrollable overall geometric shape and the like of large-size integral wall plate blanks, and obtains blank point cloud data through non-contact three-dimensional scanning; then, processing point cloud data to construct a blank three-dimensional model; and finally, determining the optimal processing state of the blank by comparing the product three-dimensional models, distributing the processing allowance, aligning the processing coordinate system and processing, thereby realizing the accurate processing of the irregular large-size integral wallboard blank. The invention utilizes the existing blank to the maximum extent, can greatly reduce the time for marking, clamping and aligning the blank and reduce the processing cost.
The technical scheme provided by the invention is as follows:
a large-size integral wallboard processing method based on three-dimensional detection data comprises the following steps:
step 1, spreading positioning mark points on the surface of a blank, and fixing at least three alignment target seats on the same plane of the blank;
step 2, three-dimensionally scanning the full appearance of the product blank by adopting a non-contact three-dimensional scanning tool, and respectively scanning the front surface and the back surface of the blank to obtain blank point cloud data;
step 3, processing the point cloud data by adopting reverse engineering software, and constructing a blank three-dimensional model by deleting irrelevant data points, edge salient points, tool connection mutation points and filling fine features;
step 4, introducing the three-dimensional model of the blank into the three-dimensional model of the product, comparing the models, adjusting the characteristic parts of the three-dimensional model of the product to be completely enveloped by the three-dimensional model of the blank and have uniform allowance, and determining the matching state of the blank and the product as the best utilization state of the blank;
step 5, establishing a processing coordinate system associated with the characteristics of the three-dimensional model of the product according to the three-dimensional model of the product, selecting at least three alignment target seats as alignment reference points, and acquiring coordinate values of the alignment reference points under the determined processing coordinate system of the product;
and 6, placing the blank on a workbench surface of a numerical control machine tool, clamping and aligning the blank by taking the alignment reference point as an object, and processing the product after alignment.
In a preferred embodiment, in the step 1, the positioning mark points adopt concentric high-reflection stickers, wherein the inner circle is white and has a diameter phi of 3-6 mm, the outer circle is black and has an outer diameter phi of 6-10 mm, the boundary is clear, and the roundness is better than phi 0.02 mm.
In a preferred embodiment, in step 1, the pasting positions of the positioning mark points are distributed in a triangular shape or a rectangular shape, and the pasting distance between adjacent positioning mark points is 200 mm-300 mm.
In a preferred embodiment, step 1, before the positioning the mark points on the surface of the blank and fixing the at least three alignment target holders, further comprises: and (4) polishing local convex points and dirt of the blank to enable the surface curved surface of the blank to be in smooth transition.
In a preferred embodiment, in step 1, the number of the alignment target holders is four.
In a preferred embodiment, in step 2, when the full-scale image of the product blank is scanned in three dimensions, the scanning path is a spiral path or a radial path from the center of the blank to the periphery.
In a preferred embodiment, in step 2, when scanning along the scanning path, the positioning mark point on the scanning path is scanned first, then the surface of the blank around the positioning mark point is scanned, and then the scanning of the next passing positioning mark point and the surface of the blank around the positioning mark point are continued until the scanning is completed.
In a preferred embodiment, in step 5, three alignment target holders are selected as alignment reference points.
In a preferred embodiment, the method for selecting three alignment target holders as alignment reference points in step 5 comprises:
alignment of target loci P1, P2 … PN(N is more than or equal to 3) selecting any three alignment target seat points to construct a plane alpha1Find the plane alpha1Average distance d to the N-3 other alignment target seat points1Sequentially obtaining the distance d from the plane formed by any three alignment target seat points to the other N-3 alignment target seat points according to the method2、d3…dN-3Wherein d is1、d2、d3…dN-3Min (d) of (1)1，d2，d3…dN-3) The three corresponding alignment target seat points are the optimal reference points and are used as the alignment reference points of the blank.
In a preferred embodiment, in step 6, the method for clamping and aligning the blank by taking the alignment reference point as an object includes:
adjusting the installation height of the blank to ensure that the longitudinal distance of the target seat point of the blank is equal to the difference value of the longitudinal coordinates of the target seat point of the blank, and ensuring that the Z axis of the blank processing coordinate system is aligned with the Z axis of the product coordinate system; and the X, Y value of the alignment reference point is aligned by adopting the rotation and coordinate system offset functions of the numerical control machine tool workbench, so that the aligned X axis and Y axis of the blank are ensured to be aligned with the X axis and Y axis of the product coordinate system.
According to the large-size integral wallboard processing method based on the three-dimensional detection data, the large-size integral wallboard processing method has the following beneficial effects:
(1) compared with the conventional processing method, the processing method of the large-size integral wallboard based on the three-dimensional detection data provided by the invention solves the problems of insufficient forming precision, irregular shape, uneven allowance and uncontrollable overall geometric shape of the large-size integral wallboard blank, the blank point cloud data is obtained through non-contact three-dimensional scanning, and then the point cloud data is processed to construct a blank three-dimensional model; finally, by comparing the product three-dimensional model, the optimal processing state of the blank is determined, the processing allowance distribution is carried out, the processing coordinate system is aligned and processed, the accurate processing of the irregular large-size integral wall plate blank is realized, the existing blank is utilized to the maximum extent, the blank scribing and clamping alignment time can be greatly reduced, and the processing cost is reduced;
(2) according to the large-size integral wall plate processing method based on three-dimensional detection data, high-precision point cloud data are obtained by means of pre-processing means such as polishing of blank surface salient points, pasting of positioning mark points, adhering and aligning of target seats and the like through non-contact three-dimensional scanning, a foundation is laid for obtaining a high-precision blank three-dimensional model, and a high-precision reference is set for subsequent clamping and aligning;
(3) according to the large-size integral wall plate processing method based on the three-dimensional detection data, provided by the invention, in consideration of the insufficient precision of a blank, N target seats are bonded, and 3 target seats are preferably selected as a common reference of three-dimensional scanning, model comparison and processing alignment, so that the precision of links such as three-dimensional scanning, reverse modeling, clamping alignment and the like is ensured. Precision transfer errors are reduced, while random errors are reduced.
(4) According to the large-size integral wallboard processing method based on three-dimensional detection data, provided by the invention, the reverse design method is applied to the large-size integral wallboard processing, the optimal product form of the formed rough material can be quickly found, and a basis is provided for the subsequent integral processing, so that the defects caused by tailor welding and forming are reduced, the product development and development period is greatly shortened, a novel wallboard product selection is provided for a design end, and the method has a wide application prospect;
the three-dimensional scanning and reverse modeling processing method can realize product modeling and manufacturing under the condition of no product drawing (or under the condition of irregular blank in the early stage), and compared with the traditional design method, the method can greatly shorten the research and development period of a new product, quickly respond to the market and improve the enterprise competitiveness.
Drawings
FIG. 1 is a process flow of large-size monolithic wall panel based on three-dimensional inspection data;
FIG. 2 is a schematic view of the positioning of a marker point and alignment of a target mount;
FIG. 3 is a point cloud data fitting model;
FIG. 4 is a model after a product is parameterized;
fig. 5 is a schematic view of the alignment process of the jack and the dial indicator.
Detailed Description
The features and advantages of the present invention will become more apparent and appreciated from the following detailed description of the invention.
The word "exemplary" is used exclusively herein to mean "serving as an example, embodiment, or illustration. Any embodiment described herein as "exemplary" is not necessarily to be construed as preferred or advantageous over other embodiments. While the various aspects of the embodiments are presented in drawings, the drawings are not necessarily drawn to scale unless specifically indicated.
The invention provides a large-size integral wallboard processing method based on three-dimensional detection data, which comprises the following steps as shown in figure 1:
step 1, pretreating the surface of a large-size integral wallboard blank: positioning mark points and at least three alignment target seats are distributed on the surface of the large-size integral wall plate blank, the positioning mark points are used for position identification and data splicing of a three-dimensional scanning object, and the alignment target seats are used for clamping and aligning the blank on a working table of a machine tool.
In one embodiment, the large-size integral wall plate blank is an integral wall plate formed by welding a plurality of plates and then spinning, the outer envelope size range is not less than (phi 600-phi 1200mm) x 500mm, and the outer envelope size range is limited by the capability of spinning equipment, irregular in shape and large in precision deviation.
In one embodiment, as shown in fig. 2, the positioning mark points are concentric high-reflective stickers, wherein the inner circle is white and has a diameter of phi 3-6 mm, the outer circle is black and has an outer diameter of phi 6-10 mm, the requirement is clear, the roundness is better than phi 0.02mm, the pasting positions of the positioning mark points are distributed in a triangular or rectangular shape, and the pasting distance between adjacent positioning mark points is 200-300 mm.
In one embodiment, as shown in fig. 2, the alignment target holder is a cylinder, such as a cylinder with a diameter of phi 10mm × 10mm, adhered to the blank in the same plane by glue and dispersed as much as possible, and is marked with P1 and P2 … P, respectivelyNWherein N is more than or equal to 3.
In one embodiment, the step of pre-treating the surface of the large size unitary wallboard blank further comprises: and (4) polishing local convex points and dirt of the blank to enable the surface curved surface of the blank to be in smooth transition.
Step 2, three-dimensional scanning of the blank: and (3) performing three-dimensional scanning on the full appearance of the product blank by adopting a non-contact three-dimensional scanning tool (such as Creaform and Gom), and respectively scanning the front surface and the back surface of the blank to obtain high-precision point cloud data of the blank. Preferably, when the full-face of the product blank is scanned in three dimensions, the scanning path is a spiral path or a radial path from the center of the blank to the periphery. When scanning along the scanning path, firstly scanning the positioning mark point on the scanning path, then scanning the blank surface at the periphery of the positioning mark point, and then continuously scanning the next passing positioning mark point and the blank surface at the periphery of the positioning mark point until the scanning is finished. The design of the scanning path is convenient for splicing the scanning data, the efficiency and the precision of the later data processing are improved, and the process is reduced.
Step 3, three-dimensional modeling of the blank: and (3) processing the point cloud data by adopting reverse engineering software to construct an accurate blank three-dimensional model, as shown in figure 3.
Wherein the reverse engineering software includes, but is not limited to, Imageware, Geomagic Studio, CopyCAD or RapidForm.
In one embodiment, the three-dimensional modeling of the billet further comprises: preprocessing point cloud data, wherein the preprocessing comprises but is not limited to deleting irrelevant data points, edge salient points, tool connection mutation points, filling fine features and the like; the irrelevant data points refer to noise points such as hash points, isolated points and the like irrelevant to the scanning object; the edge salient points refer to sharp edges, burrs and the like of the edge of a scanned object; the tool connection mutation point is a contact point or an interface of a tool connection part; filling fine features refers to encrypting local holes or locations with insufficient boundary data. .
Step 4, determining the optimal machining state of the blank: and introducing the three-dimensional model of the blank into the three-dimensional model of the product for model comparison, and adjusting by means of translation (XYZ) of a coordinate system, coordinate axis rotation (IJK) and the like to ensure that all the characteristic parts (bosses, flanges and holes) of the three-dimensional model of the product are enveloped by the three-dimensional model of the blank and the allowance is uniform, and the matching state of the blank and the product is determined as the best utilization state of the blank. If the three-dimensional model of the blank cannot envelop the three-dimensional model of the product, the optimization design facing the three-dimensional model of the blank needs to be developed on the three-dimensional model of the product; or to rework the blank.
Step 5, determining a coordinate value of the processing coordinate system and the alignment target seat: according to a three-dimensional model (figure 4) of a product, a machining coordinate system related to the characteristics (such as circle center, cylindrical surface/conical surface axis, flange hole and the like) of the three-dimensional model of the product is established, and at least three alignment target seats are selected as alignment reference points.
In consideration of the insufficient precision of the blank, the at least three alignment target seats are difficult to be coplanar (3 points can determine a plane), and in order to improve the alignment precision, 3 position points of the alignment target seats (hereinafter referred to as alignment target seat points) are preferably used as alignment reference points. The specific method comprises the following steps: from P1, P2 … PN(N is more than or equal to 3) selecting any 3 alignment target seat points to construct a plane alpha1(P1, P2, P3) and the plane α is obtained1Average distance d to the N-3 other alignment target seat points1Sequentially obtaining the distance d from the plane formed by any three alignment target seat points to the other N-3 alignment target seat points according to the method2、d3…dN-3Wherein d is1、d2、d3…dN-3Min (d) of (1)1，d2，d3…dN-3) The corresponding 3 alignment target seat points are the optimal reference points (marked as Pi, Pj and Pk) which are used as alignment reference points of the blank.
Accordingly, the number of the alignment target holders is preferably four, and the determination method of the alignment reference points is as follows: selecting any three alignment target loci from P1, P2, P3 and P4 to construct a plane alpha1(P1, P2, P3) and the plane α is obtained1Distance d to No. 4 alignment target seat point (P4)1Sequentially obtaining the distance d from a plane formed by the three alignment target seat points to a fourth alignment target seat point according to the method2、d3、d4Wherein d is1、d2、d3、d4Min (d) of (1)1，d2，d3，d4) The corresponding 3 points are the optimal reference points (marked as Pi, Pj and Pk) which are used as the alignment reference points of the blank.
And acquiring coordinate values of the alignment reference points (Pi, Pj and Pk) under the determined processing coordinate system of the product, and recording the coordinate values as Pi (Xi, Yi, Zi), Pj (Xj, Yj, Zj) and Pk (Xk, Yk and Zk).
Step 6, aligning and processing the blank: and placing the blank on the worktable of the numerical control machine tool, and clamping and aligning the blank by taking the alignment reference points (Pi, Pj and Pk) as objects. The specific method comprises the following steps: and adjusting the installation height of the blank by using a jack or an adjusting sizing block, ensuring that a blank target seat point dZ (Pi-Pj) ═ Zi-Zj and dZ (Pi-Pk) ═ Zi-Zk, and ensuring that the blank processing coordinate system is aligned with the Z axis of the product coordinate system. Adopting the rotation of a numerical control machine tool workbench and the offset function of a coordinate system to align X, Y values of Pi, Pj and Pk, and ensuring that the X axis and the Y axis of the aligned blank are aligned with the X axis and the Y axis of the product coordinate system; and (5) performing normal processing after alignment.
Examples
Example 1
The method for processing the large-size integral wall plate based on the three-dimensional detection data is adopted to process the shoulder integral wall plate structure product, the diameter of the large end of the product blank is larger than phi 1200mm, the height of the product blank is larger than 500mm, and the requirements of the diameter phi 1200mm +/-0.5 mm and the height of the product blank after processing are met. The process flow is as follows:
pretreating the surface of the large-size integral wallboard blank: firstly, local convex points and dirt of a blank are polished, and smooth transition of a curved surface is ensured; pasting the positioning mark points, wherein the mark points adopt concentric high-reflection stickers, the inner circle is white, the diameter phi is 6mm, the outer circle is black, the outer diameter phi is 10mm, the boundary is clear, the roundness is better than phi 0.02mm, the pasting positions of the mark points are distributed in a triangular shape, and the pasting distance between adjacent positioning mark points is 200 mm-300 mm; bonding 4 alignment target seats for subsequent clamping alignment, wherein the alignment target seats are cylinders with the diameter of 10mm multiplied by 10mm, are bonded on the small end plane of the blank by 502 glue, and are uniformly distributed and close to the outer side. And labeled P1, P2, P3, P4, respectively.
Three-dimensional scanning of the blank: and (3) performing three-dimensional scanning on the full appearance of the product blank by adopting a non-contact three-dimensional scanning tool Creaform, and respectively scanning the front surface and the back surface of the blank to obtain high-precision point cloud data of the blank. The whole scanning path is scanned from the center of the blank to the periphery by a spiral route, and the scanning sequence is that the positioning mark points are scanned firstly and then the surface of the peripheral blank is scanned.
Three-dimensional modeling of a blank: and processing the point cloud data by adopting reverse engineering software Imageware, and constructing an accurate blank three-dimensional model by means of deleting irrelevant data points, edge salient points, tool connection mutation points, filling fine features and the like.
Determining the optimal machining state of the blank: and guiding the blank three-dimensional model into the product three-dimensional model for model comparison, and adjusting by means of translation (XYZ) of a coordinate system, coordinate axis rotation (IJK) and the like, so that all characteristics (including end surfaces, grid ribs and flanges) of the product three-dimensional model are enveloped by the blank three-dimensional model and the allowance is uniform, and the blank three-dimensional model is determined to be the best utilization state of the blank.
Determining a processing coordinate system and a target seat point coordinate value: establishing a machining coordinate system associated with the characteristics (end surface plane and axis, flange plane and center) of the three-dimensional model of the product according to the three-dimensional model of the product, specifically: the upper surface of the three-dimensional model of the product is taken as an XOY plane, the central axis of rotation is taken as a Z axis, and the plane formed by the Z axis and the central axis of the flange is taken as an XOZ plane. Selecting 3 target seat points on the blank as alignment reference points, specifically: selecting any 3 points from P1, P2, P3 and P4 to construct a plane alpha1(P1, P2, P3) determining the plane alpha1Distance d to point 4 (P4)1The distance d from the plane formed by the three points to the fourth point is determined in sequence according to the method2、d3、d4Wherein d is1、d2、d3、d4Min (d) of (1)1，d2，d3，d4) The corresponding 3 points are the optimal reference points (marked as Pi, Pj and Pk) which are used as the alignment reference points of the blank. Acquiring coordinate values of optimal reference points (Pi, Pj and Pk) under the determined machining coordinate system and recording the coordinate values as Pi (165.234, -262.815 and 33.0305); pj (276.946, 114.247, 29.5623); pk (-254.071, 156.490, 27.4861).
Blank alignment and processing: clamping blanks by adopting a machine tool with a rotary working table and jacks, supporting the blanks by adopting the jacks (3 or more), keeping the distribution positions of the jacks consistent with Pi, Pj and Pk, ensuring the relative heights among 3 blank target seat points by adjusting the lifting of the jacks, and ensuring the relative height dZ (Pi-Pj) ═ Zi-Zj and dZ (Pi-Pk) ═ Zi-Zk by taking one point Pi as a reference, wherein when the relative height is measured, a dial indicator is adopted to measure the relative height and calculate a relative value, see figure 5), so as to ensure that a blank processing coordinate system is aligned with an XOY plane (namely a Z axis) of a product three-dimensional model coordinate system.
And the X, Y values corresponding to the blank target seat points Pi, Pj and Pk are aligned by adopting the rotation function of the rotary worktable of the machine tool and the offset function of the processing coordinate system, so that the X axis and the Y axis of the blank are ensured to be consistent with the X axis and the Y axis of the three-dimensional model coordinate system of the product. After alignment, normal processing can be carried out according to the numerical control processing program.
By applying the method to process the large-size integral wallboard (shoulder integral wallboard structure), under the conditions that the coaxiality of the upper end surface and the lower end surface of the blank is more than 25mm, the parallelism is more than 8mm and the thickness deviation is more than 5mm, the diameter phi 1200 +/-0.2 mm, the height 500 +/-0.1 mm and the wall thickness phi are successfully processed
A unitary wallboard product.
The invention has been described in detail with reference to specific embodiments and illustrative examples, but the description is not intended to be construed in a limiting sense. Those skilled in the art will appreciate that various equivalent substitutions, modifications or improvements may be made to the technical solution of the present invention and its embodiments without departing from the spirit and scope of the present invention, which fall within the scope of the present invention. The scope of the invention is defined by the appended claims.
Those skilled in the art will appreciate that those matters not described in detail in the present specification are well known in the art.
Claims (10)
1. A large-size integral wallboard processing method based on three-dimensional detection data is characterized by comprising the following steps:
step 1, spreading positioning mark points on the surface of a blank, and fixing at least three alignment target seats on the same plane of the blank;
step 2, three-dimensionally scanning the full appearance of the product blank by adopting a non-contact three-dimensional scanning tool, and respectively scanning the front surface and the back surface of the blank to obtain blank point cloud data;
step 3, processing the point cloud data by adopting reverse engineering software, and constructing a blank three-dimensional model by deleting irrelevant data points, edge salient points, tool connection mutation points and filling fine features;
step 4, introducing the three-dimensional model of the blank into the three-dimensional model of the product, comparing the models, adjusting the characteristic parts of the three-dimensional model of the product to be completely enveloped by the three-dimensional model of the blank and have uniform allowance, and determining the matching state of the blank and the product as the best utilization state of the blank;
step 5, establishing a processing coordinate system associated with the characteristics of the three-dimensional model of the product according to the three-dimensional model of the product, selecting at least three alignment target seats as alignment reference points, and acquiring coordinate values of the alignment reference points under the determined processing coordinate system of the product;
and 6, placing the blank on a workbench surface of a numerical control machine tool, clamping and aligning the blank by taking the alignment reference point as an object, and processing the product after alignment.
2. The method for processing the large-size integral wallboard based on the three-dimensional detection data as claimed in claim 1, wherein in the step 1, the positioning mark points adopt concentric high-reflection stickers, wherein the inner circle is white, the diameter phi is 3-6 mm, the outer circle is black, the outer diameter phi is 6-10 mm, the boundary is clear, and the roundness is better than phi 0.02 mm.
3. The method for processing the large-size integral wallboard according to claim 1, wherein in step 1, the pasting positions of the positioning mark points are distributed in a triangular shape or a rectangular shape, and the pasting distance between adjacent positioning mark points is 200 mm-300 mm.
4. The method for processing the large-size integral wallboard according to claim 1, wherein before the step 1 of spreading the positioning mark points on the surface of the blank and fixing at least three alignment target seats, the method further comprises: and (4) polishing local convex points and dirt of the blank to enable the surface curved surface of the blank to be in smooth transition.
5. The method for processing the large-size integral wall plate based on the three-dimensional detection data as claimed in claim 1, wherein in the step 1, the number of the alignment target seats is four.
6. The method for processing the large-size integral wallboard according to claim 1, wherein in the step 2, when the product blank is scanned in three dimensions, the scanning path is a spiral path or a radial path from the center of the blank to the periphery.
7. The method for processing the large-size integral wallboard according to claim 1, wherein in the step 2, when scanning along the scanning path, the positioning mark point on the scanning path is scanned, then the surface of the blank around the positioning mark point is scanned, and then the scanning of the next passing positioning mark point and the surface of the blank around the positioning mark point is continued until the scanning is completed.
8. The large-size integral wall plate processing method based on the three-dimensional detection data as claimed in claim 1, wherein in the step 5, three alignment target seats are selected as alignment reference points.
9. The method for processing the large-size integral wallboard according to claim 8, wherein the step 5 of selecting three alignment target seats as alignment reference points comprises the following steps:
alignment of target loci P1, P2 … PN(N is more than or equal to 3) selecting any three alignment target seat points to construct a plane alpha1Find the plane alpha1Average distance d to the N-3 other alignment target seat points1Sequentially obtaining the distance d from the plane formed by any three alignment target seat points to the other N-3 alignment target seat points according to the method2、d3…dN-3Wherein d is1、d2、d3…dN-3Min (d) of (1)1，d2，d3…dN-3) The corresponding 3 alignment target seat points are the optimal reference points (marked as Pi, Pj and Pk) which are used as alignment reference points of the blank.
10. The method for processing the large-size integral wallboard based on the three-dimensional detection data as claimed in claim 1, wherein in the step 6, the method for clamping the alignment blank by taking the alignment reference point as an object comprises the following steps:
adjusting the installation height of the blank to ensure that the longitudinal distance of the target seat point of the blank is equal to the difference value of the longitudinal coordinates of the target seat point of the blank, and ensuring that the Z axis of the blank processing coordinate system is aligned with the Z axis of the product coordinate system; and the X, Y value of the alignment reference point is aligned by adopting the rotation and coordinate system offset functions of the numerical control machine tool workbench, so that the aligned X axis and Y axis of the blank are ensured to be aligned with the X axis and Y axis of the product coordinate system.
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| CN114001654A (en) * | 2021-11-01 | 2022-02-01 | 北京卫星制造厂有限公司 | Workpiece end face pose evaluation method |
| CN114693879A (en) * | 2022-03-16 | 2022-07-01 | 哈尔滨理工大学 | Large forged part auxiliary alignment method based on three-dimensional reconstruction technology |
| CN114842039A (en) * | 2022-04-11 | 2022-08-02 | 中国工程物理研究院机械制造工艺研究所 | Coaxiality error calculation method for diamond anvil containing revolving body microstructure |
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| CN114001654A (en) * | 2021-11-01 | 2022-02-01 | 北京卫星制造厂有限公司 | Workpiece end face pose evaluation method |
| CN114001654B (en) * | 2021-11-01 | 2024-03-26 | 北京卫星制造厂有限公司 | Workpiece end face pose evaluation method |
| CN114693879A (en) * | 2022-03-16 | 2022-07-01 | 哈尔滨理工大学 | Large forged part auxiliary alignment method based on three-dimensional reconstruction technology |
| CN114842039A (en) * | 2022-04-11 | 2022-08-02 | 中国工程物理研究院机械制造工艺研究所 | Coaxiality error calculation method for diamond anvil containing revolving body microstructure |
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