CN117308790B

CN117308790B - Detection method for improving precision and reducing correction rounds, electronic equipment and storage medium

Info

Publication number: CN117308790B
Application number: CN202311630260.2A
Authority: CN
Inventors: 尹永铎; 况亚
Original assignee: Botou Xingda Auto Mould Manufacturing Co ltd
Current assignee: Botou Xingda Auto Mould Manufacturing Co ltd
Priority date: 2023-12-01
Filing date: 2023-12-01
Publication date: 2024-03-12
Anticipated expiration: 2043-12-01
Also published as: CN117308790A

Abstract

The invention provides a detection method for improving precision and reducing correction rounds, electronic equipment and a storage medium, which comprise the following steps: checking the basic work of the full-process die; performing blue light detection; comparing the best fit with the product digital-analog, and selecting three RPS points with the minimum rebound value for clamping; re-scanning blue light; and (5) setting a die rectifying scheme. The invention has the beneficial effects that: the method greatly reduces the number of times of die rectification, reduces the number of times from original 4-5 times to less than 2 times, relatively shortens the development period of the die, reduces the manufacturing cost of the die, and rapidly improves the precision of the workpiece by the method.

Description

Detection method for improving precision and reducing correction rounds, electronic equipment and storage medium

Technical Field

The invention belongs to the field of die manufacturing, and particularly relates to a detection method for improving precision and reducing correction rounds, electronic equipment and a storage medium.

Background

In recent years, the automobile panel die manufacturing industry has been rapidly developed in China, along with development and application of some new technologies, continuous summarization and accumulation of software upgrading, design, manufacturing and debugging experience, and various aspects of finished product appearance, surface products, dimensional accuracy and the like, some technical problems still exist to be overcome, such as how to reduce die correction rounds and the like, and excessive correction rounds can lead to prolonged manufacturing period and incapability of delivering the die according to time required by customers; meanwhile, the manufacturing cost of the die is greatly improved, and the profit is thinner and thinner compared with enterprises. The mould needs to be modified, mostly because the dimensional accuracy of the manufactured parts pressed by the mould is not qualified. From the die design to casting, programming, processing, assembling, debugging, detecting and the like, any link has problems or data transmission has distortion, and the precision of the workpiece is affected.

Disclosure of Invention

In view of the above, the present invention aims to provide a detection method, an electronic device and a storage medium for improving precision and reducing correction rounds, so as to analyze the influence of the rationality of the detection mode on the precision of the workpiece, and create an effective detection method, which can help a die correction department to accurately grasp the real state of the workpiece, extract real rebound data, reduce the number of die correction times caused by erroneous judgment, improve the precision, shorten the period and reduce the cost.

In order to achieve the above purpose, the technical scheme of the invention is realized as follows:

a detection method for improving precision and reducing correction rounds comprises the following steps:

s1, checking the product digital model by a checking staff, checking the full-process die basic work, discharging the first part after the product digital model is qualified, and entering a step S2;

s2, placing the first part on a gauge or a bracket, and carrying out blue light detection on the part by adopting a minimum clamping point;

s3, comparing the point cloud scanned by blue light with the product digital-analog according to best fitting, observing rebound conditions of all RPS positions given by the product, and selecting three RPS points with minimum rebound values according to the result to clamp;

s4, carrying out blue light scanning again and processing three RPS points in the step S3 to obtain detection data;

and S5, setting a die modification scheme according to the detection data in the step S4.

Further, in step S1, the full-process die basic work includes drawing inflow, lapping, character forming, positioning.

Further, in step S2, the clamping points of the minimum clamping points do not exceed three RPS points.

Further, in step S3, the rebound values of the three RPS points are 0.

Further, in step S4, the processing of the three RPS points in step S3 is performed as fitting the three RPS points in step S3.

Further, in step S4, the processing of the three RPS points in step S3 is three-coordinate detection of the three RPS points in step S3.

An electronic device comprising a processor and a memory communicatively coupled to the processor and configured to store instructions executable by the processor, the memory storing instructions executable by the processor, the instructions being executable by the processor, the processor configured to perform the method of detecting a reduced accuracy rectification round as described above.

A computer readable storage medium storing a computer program which, when executed by a processor, implements the above-described method of detecting a reduction in accuracy of a correction round.

Compared with the prior art, the detection method, the electronic equipment and the storage medium for improving the precision and reducing the rectifying and modifying turn have the following advantages:

the method greatly reduces the number of times of die rectification, reduces the number of times from original 4-5 times to less than 2 times, relatively shortens the development period of the die, reduces the manufacturing cost of the die, and rapidly improves the precision of the workpiece by the method.

Drawings

The accompanying drawings, which are included to provide a further understanding of the invention and are incorporated in and constitute a part of this specification, illustrate embodiments of the invention and together with the description serve to explain the invention. In the drawings:

FIG. 1 is a digital-to-analog schematic diagram of a front door inner panel product according to an embodiment of the present invention;

fig. 2 is a schematic diagram of a blue light detection result of a first-time workpiece according to an embodiment of the present invention;

FIG. 3 is a schematic diagram of a rebound result of CAE analysis according to an embodiment of the present invention;

FIG. 4 is a diagram illustrating a problem of a blue light detection result according to an embodiment of the present invention;

fig. 5 is a schematic diagram of a real rebound state of an article according to an embodiment of the present invention.

Detailed Description

It should be noted that, without conflict, the embodiments of the present invention and features of the embodiments may be combined with each other.

In the description of the present invention, it should be understood that the terms "center", "longitudinal", "lateral", "upper", "lower", "front", "rear", "left", "right", "vertical", "horizontal", "top", "bottom", "inner", "outer", etc. indicate orientations or positional relationships based on the orientations or positional relationships shown in the drawings, are merely for convenience in describing the present invention and simplifying the description, and do not indicate or imply that the devices or elements referred to must have a specific orientation, be configured and operated in a specific orientation, and thus should not be construed as limiting the present invention. Furthermore, the terms "first," "second," and the like, are used for descriptive purposes only and are not to be construed as indicating or implying a relative importance or implicitly indicating the number of technical features indicated. Thus, a feature defining "a first", "a second", etc. may explicitly or implicitly include one or more such feature. In the description of the present invention, unless otherwise indicated, the meaning of "a plurality" is two or more.

In the description of the present invention, it should be noted that, unless explicitly specified and limited otherwise, the terms "mounted," "connected," and "connected" are to be construed broadly, and may be either fixedly connected, detachably connected, or integrally connected, for example; can be mechanically or electrically connected; can be directly connected or indirectly connected through an intermediate medium, and can be communication between two elements. The specific meaning of the above terms in the present invention can be understood by those of ordinary skill in the art in a specific case.

The invention will be described in detail below with reference to the drawings in connection with embodiments.

Noun interpretation:

RPS point: the RPS points are commonly called detection reference points, and are provided by product designers, and the number of points on different parts is different. And supporting points are arranged on the gauge and the detection support according to the RPS point positions of the products. When the workpiece is detected on a detection tool or a detection bracket, the RPS points are required to be used for supporting the workpiece.

RPS point fitting, best fitting: before blue light scanning is carried out on a workpiece by a detector, the workpiece is firstly placed on a special detection support, then the workpiece is scanned, the scanned point cloud is required to be compared with a product digital model after the scanning is completed, the product digital model is imported by the detector according to the origin of a coordinate system of the special detection support, the point cloud is compared with the product digital model in a fitting mode, and the first type is RPS point fitting: fitting at least 3 RPS points on the workpiece with 3 RPS points at the same position on the product digital model, wherein the fitting mode has the defects that if rebound exists on the surface of the RPS points on the workpiece, the accuracy of a detection result is directly affected, and even misleading is caused; the second is a best fit: the best fitting is performed by software automatically, namely the best fitting is performed by the software according to the principle of greatest common divisor, the point cloud is attached to the digital model, the fitting mode usually reflects the real rebound state of the workpiece more truly, and the real rebound data are helped to be extracted.

As shown in fig. 1 to 5, the detection method for improving the accuracy and reducing the correction round comprises the following steps:

s1, checking by a checking staff that the whole process die basic work is free of problems, and discharging a first part;

s2, placing the first part on a gauge or a bracket according to actual requirements, detecting the part by adopting the least clamping points (not more than 3 clamping points), and selecting blue light for detecting for more intuitively knowing the rebound state of the part;

s3, comparing the point cloud scanned by blue light with the product digital-analog according to best fitting, observing rebound conditions of all RPS positions given by the product, and selecting 3 RPS points with minimum rebound according to the result for clamping;

s4, re-scanning blue light and fitting according to the three points, or directly detecting three coordinates, wherein the detection data extracted on the basis is true and reliable;

s5, setting a die rectifying and modifying scheme according to the extracted data.

Example 1

The front door inner panel product is shown in fig. 1 as a digital model.

Fig. 2 shows the blue light detection result of the first product. The blue light scanning result is that the product is hung on a special detection bracket in a vehicle body state, and three clamping points of RPS-A1, RPS-A2 and RPS-A3 are selected for scanning detection. Typically, the door inner panel will be set with 6 pinch points, four located in the area below the window and two located in the window upper frame. However, in the process of inspection, 3-point clamping is usually adopted, namely, 2 points (RPS-A1 and RPS-A3) of the front side of the door close to the upper hinge and the lower hinge are adopted, and then one point (RPS-A2) of the rear side of the door close to the door lock is added. The other 3 RPS points remain unsupported and unclamped. If the number of the clamping points exceeds 3, the whole workpiece is deformed after clamping possibly because of the size overrun of a certain point, and the final detection result is affected.

As can be seen from the blue light detection results, the precision of the workpiece is poor, the detection report is set to be qualified by +/-0.5 mm, and the precision exceeds the precision exceeding +/-0.5, and as can be seen from the figure 2, the left lower corner of the part and the upper window frame are seriously out of tolerance. If not further studied, the rebound compensation and the die modification are carried out based on the above, and the difficulty is quite high. As shown in fig. 3, the final rebound result of the CAE analysis of the stamping process is also the 3-point clamping scheme, and it can be seen that the full-face dimensions of the workpiece are within the tolerance range. Although there is a certain difference between theory and practice, the difference should not be so large, and thus there is a problem in the above detection results.

In fig. 3, the basic work (drawing inflow, grinding, symbol, positioning, etc.) of the full-process die is inspected for the failure of the precision of the inspected product, and is basically qualified for the CAE analysis rebound result diagram. Thus, again, the attention point was shifted to the blue light detection result, and the following problems were found:

as shown in FIG. 4, the RPS-A2 and RPS-A3 are connected, and the profile below the connection is found to be higher and the profile above the connection is found to be lower. If the surface of the part at the point RPS-A1 is out of tolerance, the point is selected as a supporting clamping point, and the detection result is necessarily caused. In view of this, the detection mode needs to be changed, and the real rebound state of the workpiece is observed by adopting the best fit of blue light scanning instead of the RPS point fitting. See fig. 5.

From the result of the re-fitting of fig. 5, the accuracy of the part substantially meets the customer requirements without major modifications. The RPS-A1 point is coincident with the suspected direction and the point is sprung up by about 0.3mm, which is used as the gripping point, resulting in distortion of the initial test results. By inspection, it can be seen that the three points RPS-A2, RPS-A3, RPS-D3 rebound to almost 0. According to the method, the 3 points are used as clamping points on the support, data are acquired through three-coordinate measurement, and rebound compensation correction is carried out on RPS-A1 and other local precision out-of-tolerance. The obtained data are true and reliable, and the prepared scheme achieves a good rectifying effect.

With the above cases and other more similar experience, the present application creates the following part inspection methods:

1. the basic work of the full-process die is checked by a checker to be free of problems, and the first part is discharged.

2. The first part is placed on the gauge or the bracket according to actual requirements, the workpiece is detected by adopting the least clamping points (not more than 3 clamping points), and blue light detection is selected for more intuitively knowing the rebound state of the workpiece.

3. And comparing the point cloud scanned by blue light with the product digital-analog according to the best fitting, observing rebound conditions of all RPS positions given by the product, and selecting the RPS point with the minimum rebound according to the result for clamping.

4. And (3) re-scanning blue light and fitting according to the three points, or directly performing three-coordinate detection, wherein the detection data extracted on the basis is true and reliable.

5. And setting a die modification scheme according to the extracted data.

The invention has the advantages that: the method greatly reduces the number of times of die modification, and reduces the number of times of die modification from the original 4-5 times to less than 2 times, so that the die development period is relatively shortened, the die manufacturing cost is reduced, and the precision of the workpiece is rapidly improved by the method.

The foregoing description of the preferred embodiments of the invention is not intended to be limiting, but rather is intended to cover all modifications, equivalents, alternatives, and improvements that fall within the spirit and scope of the invention.

Claims

1. The detection method for improving the precision and reducing the correction rounds is characterized in that the applied product digital-analog is a vehicle door; the method is characterized in that: the method comprises the following steps:

s2, placing the first part on a gauge or a bracket, carrying out blue light detection on the part by adopting the least clamping points, wherein the clamping points of the least clamping points are not more than three RPS points, adopting 2 RPS points, namely RPS-A1 and RPS-A3, of which the front side of a vehicle door is close to an upper hinge and a lower hinge, and the rear side of the vehicle door is close to one point of the door lock, namely RPS-A2, and other RPS points are kept in an unsupported and unclamped state;

s3, comparing the point cloud scanned by blue light with the product digital-analog according to best fitting, observing rebound conditions of all RPS positions given by the product, selecting three RPS points with minimum rebound values according to the result, and clamping, wherein the rebound values of the three RPS points are 0, namely RPS-A2, RPS-A3 and RPS-D3;

s4, re-scanning blue light, processing the three RPS points in the step S3, carrying out three-coordinate measurement and data acquisition to obtain detection data, and carrying out rebound compensation correction on the RPS-A1 and other local precision out-of-tolerance;

2. The method for detecting the improvement in the accuracy reduction correction round according to claim 1, characterized in that: in step S1, the full-process die basic work includes drawing inflow, grinding, conforming, positioning.

3. An electronic device comprising a processor and a memory communicatively coupled to the processor for storing processor-executable instructions, characterized in that: the memory stores instructions executable by the processor for performing the method for detecting a reduced accuracy improvement round as set forth in any one of claims 1-2.

4. A computer-readable storage medium storing a computer program, characterized in that: the computer program, when executed by a processor, implements the method for detecting a reduced accuracy correction round as set forth in any one of the preceding claims 1-2.