Differential quantification method for automobile part machining equipment
Through quantitative research and commissioning and differential compensation in automotive parts processing, the problem of poor parts after the mold is returned to the factory is solved, the effect of reducing research and cooperation time and cost is achieved, and the rapid and stable production of new products is guided.
Patent Information
- Application Number
- CN202510088435.4
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2025-01-20
- Publication Date
- 2025-05-30
AI Technical Summary
The difference in material performance and production equipment performance of automobile cold stamping parts before and after the mold is returned to the factory leads to poor conditions such as wrinkling and cracking of parts, which cannot meet the performance requirements, resulting in the need to re-develop and complete the conditions for stable production.
By conducting initial design and simulation analysis before the mold returns to the factory, the research and development status is formulated and cured; the production boundary conditions of the machine tool are confirmed before the mold is first put on the machine, the first batch of parts are produced and their quality status is scanned, and the subsequent research and development is carried out based on the comparison results to obtain the quantified machine tool difference compensation value, and it is fused into the design data for simulation and mold processing.
It significantly reduces the research and development time on the busbar after the mold returns to the factory, saves project development and commissioning costs, and guides the design and development of new products through quantitative research and development data and repeated iterative deviation compensation data, so that the products can quickly meet the requirements of stable production.
Smart Images
Figure CN120069496A_ABST
Abstract
Description
Technical Field
[0001] The embodiments of the present application relate to the technical field of automotive processing and manufacturing, and particularly to a method for quantifying differences in automotive part processing equipment.
Background Art
[0002] Currently, in automotive development, the manufacturing cost and cycle of stamping parts occupy a large amount of resources and time for each project. The sample parts and die fitting status of each die line before the die returns to the factory are used only as a reference, that is, to prove that the fitting status before the die returns to the factory meets the technical requirements.
[0003] However, the actual situation is that due to the differences in material properties and production equipment performance before and after the return of automotive cold stamping parts to the factory, the produced parts will have varying degrees of defective states, such as wrinkling, cracking, springback, etc. These defective parts cannot meet the performance requirements. Therefore, after the die returns to the factory, it is still necessary to re-fit according to the fitting status on the bus machine to meet the conditions for stable production.
Summary of the Invention
[0004] The embodiments of the present application propose a method for quantifying differences in automotive part processing equipment, which relates to the technical field of automotive processing and manufacturing. It can significantly reduce the fitting time of the die on the bus after the die returns to the factory, save project development and debugging costs, and can, based on the quantified fitting data, and through repeated iteration to correct the deviation compensation data, thus guiding the design and development of new products and enabling the products to quickly meet the requirements of stable production.
[0005] The embodiments of the present application provide a method for quantifying differences in automotive part processing equipment, and the method includes:
[0006] After initial design and simulation analysis, make a die for producing parts;
[0007] Conduct preliminary fitting debugging on the made die and solidify the fitting status;
[0008] Before the die is first put on the machine, confirm the production boundary conditions of the machine tool;
[0009] Under the constraint of production boundary conditions, use the machine tool and the die to produce the first batch of parts;
[0010] Scan the first batch of parts and compare them with the previously solidified fitting status to confirm the quality status of the first batch of parts;
[0011] According to the quality status of the parts, conduct post-fitting debugging on the die;
[0012] Based on the die that has completed post-fitting debugging, obtain the quantified machine tool difference compensation value;
[0013] Fuse the machine tool difference compensation value in the design data for simulation and die processing, and correct the machine tool difference compensation value through lapping debugging to obtain the target compensation value for producing similar parts.
[0014] In at least one possible implementation manner, the solidified lapping state includes: after preliminary lapping debugging, scanning the die and the part state, and saving the parameters of the preliminary lapping debugging as the part boundary conditions.
[0015] In at least one possible implementation manner, the solidified lapping state further includes:
[0016] Compare the scanning result with the prior simulation analysis result;
[0017] If there are differences, model based on the scanning result for reverse analysis.
[0018] In at least one possible implementation manner, the comparison with the prior solidified lapping state includes: comparing the scanning result of the first batch of parts with the part state scanned after the preliminary lapping debugging according to a preset index to determine the quality state of the first batch of parts.
[0019] In at least one possible implementation manner, the post-lapping debugging of the die includes: obtaining the quantitative theoretical data of the die based on the difference between the scanning state of the first batch of parts and the prior solidified part state; performing lapping debugging according to the quantitative theoretical data until the preset index is met.
[0020] In at least one possible implementation manner, obtaining the quantitative machine tool difference compensation value includes:
[0021] Scan the parts produced by the die after the post-lapping debugging is completed, and compare with at least the scanning state of the first batch of parts obtained when first put on the machine to obtain the measured lapping amount in the quantitative theoretical data, and use the measured lapping amount as the machine tool difference compensation value.
[0022] In at least one possible implementation manner, obtaining the target compensation value for producing similar parts includes:
[0023] Input the machine tool difference compensation value as a prediction condition into the simulation analysis to calculate the die compensation amount;
[0024] Manufacture a die based on the die compensation amount and perform multiple rounds of lapping debugging;
[0025] Continuously correct the machine tool difference compensation value by using the scanning result of the parts produced by the die after multiple rounds of lapping debugging are completed to obtain the target compensation value.
[0026] In at least one possible implementation, the confirmation of the production boundary conditions of the machine tool includes: measuring the equipment accuracy of the generatrix of the machine tool used for producing parts.
[0027] In at least one possible implementation, the production of the first batch of parts by using the machine tool and the mold includes: producing the first batch of parts without changing the parameters of the pre-grinding and debugging recorded previously.
[0028] In at least one possible implementation, the pre-grinding and debugging includes sequentially performing rough grinding and fine grinding.
[0029] The technical effects of this solution can be referred to as follows: after initial design and simulation analysis, a mold for producing parts is manufactured, and the mold is ground and debugged before returning to the factory at the supplier side and the grinding state is solidified; before the mold is first put on the machine after returning to the factory, based on the production boundary conditions of the equipment, the first batch of parts are produced by using the machine tool and the mold and the first batch of parts are scanned, and then compared with the previously solidified grinding state. According to the quality state of the parts obtained by comparison, the mold is ground and debugged after returning to the factory, and thus the machine tool difference compensation value is obtained. The machine tool difference compensation value is integrated into the previous design and simulation, and the target compensation value for producing similar parts is obtained in the above manner. This application can significantly reduce the grinding time of the mold on the generatrix after returning to the factory, save the project development and debugging costs, and can be based on the quantified grinding data, and the deviation compensation data is corrected through repeated iteration, so as to guide the design and development of new products and enable the products to quickly meet the requirements of stable production.
Description of the Drawings
[0030] In order to more clearly illustrate the technical solutions of the embodiments of the present application, the drawings required to be used in the embodiments will be briefly introduced below. Obviously, the drawings described below are only some embodiments of this specification. For those of ordinary skill in the art, other drawings can be obtained according to these drawings without creative efforts.
[0031] Figure 1 It is a schematic flow chart of a method for quantifying the differences of an automotive part processing equipment provided by an embodiment of the present application.
Detailed Embodiments
[0032] In order to better understand the technical solutions of this specification, the embodiments of the present application will be described in detail below with reference to the drawings.
[0033] It should be clear that the described embodiments are only some embodiments of this specification, rather than all embodiments. All other embodiments obtained by those of ordinary skill in the art based on the embodiments in this specification without creative efforts belong to the scope protected by this specification.
[0034] The terms used in the embodiments of the present application are only for the purpose of describing specific embodiments and are not intended to limit this specification. The singular forms "a", "the", and "said" used in the embodiments of the present application and the appended claims are also intended to include the plural forms unless the context clearly indicates otherwise.
[0035] As mentioned above, after the mold returns to the factory, it is necessary to reconfirm whether it meets the production conditions based on the parts and mold status debugged by the busbar. However, due to the inconsistent equipment accuracy and performance before and after returning to the factory, the parts produced are prone to defects such as wrinkling or cracking. To solve such defects, each mold line needs to be re-ground, which will consume a large amount of project debugging time, manpower, equipment and other resources. Taking 25 mold lines developed for each project, and 12 of them being outer cover parts as an example, the time for re-grinding each mold line after returning to the factory is roughly calculated as follows: the average grinding time for outer cover part molds is about 50 hours, totaling 600 hours; the average grinding time for other structural part molds is about 25 hours, totaling 325 hours; the average total grinding time for each project after returning to the factory is about 925 hours. Even if calculated roughly at 900 yuan per hour for labor costs, equipment energy consumption and consumables, each project needs to incur an additional expenditure of 832,500 yuan.
[0036] In view of this, the embodiments of the present application provide a method for quantifying the differences in automotive part processing equipment. In this method, after initial design and simulation analysis, a mold for producing parts is made, and the mold is ground and debugged before returning to the factory at the supplier's end and the grinding state is solidified; before the mold is first put into operation after returning to the factory, based on the production boundary conditions of the equipment, the first batch of parts are produced by the machine tool and the mold, and the first batch of parts are scanned, and then compared with the previously solidified grinding state. According to the quality state of the parts obtained by the comparison, the mold is ground and debugged after returning to the factory, and thus the machine tool difference compensation value is obtained. The machine tool difference compensation value is integrated into the previous design and simulation, and the target compensation value for producing similar parts is obtained in the above manner. The present application can significantly reduce the grinding time of the mold on the busbar after returning to the factory, save project development and debugging costs, and can be based on the quantified grinding data, and through repeated iteration to correct the deviation compensation data, so as to guide the design and development of new products and enable the products to quickly meet the requirements of stable production.
[0037] The following will describe in detail the technical solutions protected by the embodiments of the present application with reference to the accompanying drawings.
[0038] Please refer to Figure 1 , which is a schematic flow chart of a method for quantifying the differences in automotive part processing equipment provided by the embodiments of the present application. The flow of this method is described as follows:
[0039] Step S1, after initial design and simulation analysis, make a mold for producing parts;
[0040] Step S2: Conduct preliminary fitting and debugging on the fabricated mold, and solidify the fitting state.
[0041] Specifically, the solidified fitting state includes: after the initial fitting and debugging, scanning the states of the mold and the part, and saving the parameters of the preliminary fitting and debugging as the part boundary conditions (i.e., the mold factory standard values after the preliminary fitting and debugging of the mold). It can also be supplemented according to this concept that the scanned mold and part can be compared with the results of the preliminary simulation analysis. If there are differences in the comparison, reverse analysis can be carried out based on the current state for modeling.
[0042] Step S3: Before the mold is first installed on the machine tool, confirm the production boundary conditions of the machine tool.
[0043] Specifically, the equipment accuracy of the machine tool bus for producing parts can be measured, such as factors directly affecting the product forming performance, such as the parallelism of the upper and lower worktables of the molding machine, the perpendicularity of the slider guide rails, and the pressure output efficiency, etc., as the production boundary conditions allowing the execution of the next step.
[0044] Step S4: Under the constraint of the production boundary conditions, use the machine tool and the mold to produce the first batch of parts (including the case of producing one part sample).
[0045] In actual operation, the current debugging can be carried out using the debugging parameters recorded before the mold returns to the factory, and the first piece can be produced without changing the original parameters.
[0046] Step S5: Scan the first batch of parts and compare them with the previously solidified fitting state to confirm the quality status of the first batch of parts.
[0047] To expand, the states of the first batch of parts can be scanned and compared with the preset indicators of the part states scanned before the mold returns to the factory. The preset indicators for comparison here can be differences such as the inflow volume, springback volume, principal and secondary strains, etc.
[0048] Step S6: According to the part quality status, conduct post - fitting and debugging on the mold.
[0049] Re - fit the mold based on the current state of the scanned parts. Specifically: through the comparison of the states of the first batch of parts and the previously solidified part states, quantitative theoretical data for fitting can be obtained; carry out fitting and debugging based on this data, and it can be understood that this link needs to be repeatedly cycled for several rounds to compare and confirm each parameter and record them until the above - mentioned indicators are consistent with the part boundary conditions.
[0050] Step S7: Based on the mold that has completed the fitting and debugging, obtain the quantitative machine tool difference compensation value.
[0051] The parts produced from the die after the lapping is completed are scanned again and compared at least with the state of the first batch of parts obtained during the first time of being put on the machine, that is, the states before and after the subsequent lapping debugging are compared, so as to obtain the non-lapping amount relative to the lapping theoretical data mentioned above and the measured lapping amount of the part product before and after the die lapping. That is, non-lapping amount + measured lapping amount = theoretical lapping amount. This measured lapping amount is the machine tool difference compensation amount. That is, the machine difference value between the supplier side and the current bus bar.
[0052] Step S8: Integrate the machine tool difference compensation value into the design data for simulation and die processing, and correct the machine tool difference compensation value through lapping debugging to obtain the target compensation value for producing similar parts.
[0053] During subsequent design, directly input this machine tool difference compensation amount under similar conditions for calculation analysis and debugging, which avoids the extra work of repeated lapping before and after returning to the factory, thereby improving work efficiency, shortening the manufacturing cycle, and significantly reducing the work intensity and manufacturing cost.
[0054] Finally, it can also be supplemented that the concept of this application is not limited to a single part product. When the data volume is sufficient, an intelligent simulation analysis model system can be established in this way, which meets the requirements of the head processes of intelligent manufacturing, and can thus greatly improve the product design quality and optimize the work efficiency of relevant personnel.
[0055] Combined with the above embodiments, here, taking the development of the outer panel of the car side wall as an example for illustration.
[0056] Before the die returns to the factory: During the early product design, the earliest design model of the outer panel of the car side wall is determined through multiple simulation analyses, and this model is used for die design and processing. After the die processing is completed, assembly, root cleaning and other work are carried out to close the die to the bottom, and then the die surface is roughly lapped. After the rough lapping is completed, the die and production parameters are debugged. After the part samples obtained from the debugging meet the technical requirements, the die is finely lapped, so that both the die and the part products produced after the initial lapping meet the factory requirements. At this time, the debugging production parameters are recorded, and the final die and product process parts are scanned.
[0057] After the die returns to the factory: Before the first time of being put on the machine (using the machine tool equipment to produce the first batch of part samples according to the returned die), measure the equipment accuracy of the machine tool used to produce the parts, such as the parallelism of the upper and lower worktables of the molding machine, the perpendicularity of the slide rail, the pressure output efficiency and other factors directly affecting the product forming performance, and use this as the production boundary condition; it can be understood that if there are factors seriously not meeting the requirements, the equipment accuracy needs to be adjusted and restored, and the main parameters of the equipment reach the production boundary condition before the next die debugging and part production process can continue.
[0058] Next, after confirming that the accuracy of the processing equipment meets the above conditions, debug according to the parameters before the mold returns to the factory, produce the first piece without changing the original parameters, and confirm the quality status of the product.
[0059] Then, scan the first-piece product and compare the differences with the part scan results before returning to the factory to obtain the theoretical amount (α 1 ) that needs to be re-ground. Understandably, the difference value compared at this time can refer to the measured scan value. To enable the mold to produce normally on this equipment after returning to the factory, the mold needs to be ground multiple times. After the grinding is completed (i.e., all preset indicators meet the standards), then scan the parts produced at this time and compare them with the product status during the first time on the machine to obtain the amount that does not need to be re-ground (α 2 ) compared with the theoretical amount. The actually measured re-grinding amount (α 3 ) before and after product re-grinding, that is, there is α 2 + α 3 = c 1 . The actually measured re-grinding amount α 3 is the machine tool difference compensation amount.
[0060] When developing a new vehicle model, under the same production conditions for similar products, in the product design stage, the above α 3 can be input as a prediction condition into the simulation to calculate the compensation amount, that is, add α 3 to the original design data for simulation. Then, process and manufacture the mold according to the calculated results, and set the debugging parameters according to the simulation parameters. Next, continuously correct the machine tool difference compensation amount based on the results obtained from scanning the products debugged before and after returning to the factory. Finally, a stable target compensation value α 4 will be obtained, which is used for the input of this type of new product under this condition, so as to effectively reduce the repeated confirmation and repeated grinding during mold debugging and production processes, greatly shorten the development cycle, and significantly reduce the development cost.
[0061] The above is only the preferred embodiment of this specification and is not intended to limit this specification. Any modifications, equivalent replacements, improvements, etc. made within the spirit and principle of this specification shall be included within the scope of protection of this specification.
Claims
1. A method for quantifying differences in automobile parts processing equipment, characterized in that: The method comprises: After initial design and simulation analysis, molds for producing parts are made; Carry out preliminary grinding and debugging of the finished mold, and solidify the grinding state; Before the mold is put on the machine for the first time, confirm the production boundary conditions of the machine tool; Under the constraints of production boundary conditions, the first batch of parts are produced using machine tools and molds; Scan the first batch of parts and compare them with the previously cured grinding state to confirm the quality status of the first batch of parts; Conduct post-processing and debugging of the mold according to the quality status of the parts; Based on the mold that has been completed in the later stage of research and debugging, the quantitative machine tool difference compensation value is obtained; The machine tool difference compensation value is integrated into the design data for simulation and mold processing, and the machine tool difference compensation value is corrected through research and debugging to obtain a target compensation value for producing similar parts.
2. The method for quantifying differences in automobile parts processing equipment according to claim 1, characterized in that: The solidification grinding state includes: after the preliminary grinding and debugging, scanning the mold and the part state, and saving the parameters of the preliminary grinding and debugging as the part boundary conditions.
3. The method for quantifying the difference of automobile parts processing equipment according to claim 2, characterized in that: The solidification and grinding state also includes: Compare the scan results with previous simulation analysis results; If there are differences, modeling is performed based on the scan results for reverse analysis.
4. The method for quantifying differences in automobile parts processing equipment according to claim 1, characterized in that: The comparison with the previously solidified grinding state includes: comparing the scanning results of the first batch of parts with the state of the parts scanned after the previous grinding and debugging according to preset indicators to determine the quality state of the first batch of parts.
5. The method for quantifying differences in automobile parts processing equipment according to claim 4, characterized in that: The post-processing and debugging of the mold includes: obtaining quantitative theoretical data of the mold based on the difference between the scanning state of the first batch of parts and the state of the previously solidified parts; and performing processing and debugging according to the quantitative theoretical data until the preset indicators are met.
6. The method for quantifying the difference of automobile parts processing equipment according to claim 5, characterized in that: The quantified machine tool difference compensation value includes: The parts produced by the mold that has completed the later grinding and debugging are scanned and compared with the scanning status of at least the first batch of parts obtained when it was first put on the machine to obtain the actual grinding and bonding amount in the quantitative theoretical data, and the actual grinding and bonding amount is used as the machine tool difference compensation value.
7. The method for quantifying differences in automobile parts processing equipment according to claim 1, characterized in that: The target compensation value obtained for producing similar parts includes: Inputting the machine tool difference compensation value as a prediction condition into the simulation analysis for calculating the mold compensation amount; A mold is manufactured based on the mold compensation amount, and multiple rounds of grinding and debugging are performed; By using the scanning results of the parts produced by the mold after multiple rounds of grinding and debugging, the machine tool difference compensation value is continuously corrected to obtain the target compensation value.
8. The method for quantifying the difference of automobile parts processing equipment according to claim 1, characterized in that: The confirmation of the production boundary conditions of the machine tool includes: measuring the equipment accuracy of the machine tool busbar used to produce the parts.
9. The method for quantifying differences in automobile parts processing equipment according to claim 1, characterized in that: The method of producing the first batch of parts by using the machine tool and the mold includes: producing the first batch of parts without changing the parameters of the previous research and debugging recorded in advance.
10. The method for quantifying the difference of automobile parts processing equipment according to any one of claims 1 to 9, characterized in that: The preliminary grinding and debugging includes performing rough grinding and fine grinding in sequence.