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CN113505476A - Prediction method and prediction system for improving prediction accuracy of impact scratches - Google Patents

Prediction method and prediction system for improving prediction accuracy of impact scratches Download PDF

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CN113505476A
CN113505476A CN202110720246.6A CN202110720246A CN113505476A CN 113505476 A CN113505476 A CN 113505476A CN 202110720246 A CN202110720246 A CN 202110720246A CN 113505476 A CN113505476 A CN 113505476A
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scratch
parameters
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CN113505476B (en
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韩庆艳
王彬
胡文治
黄海浪
周海龙
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Dongfeng Motor Group Co Ltd
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    • GPHYSICS
    • G06COMPUTING OR CALCULATING; COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F30/00Computer-aided design [CAD]
    • G06F30/20Design optimisation, verification or simulation
    • BPERFORMING OPERATIONS; TRANSPORTING
    • B21MECHANICAL METAL-WORKING WITHOUT ESSENTIALLY REMOVING MATERIAL; PUNCHING METAL
    • B21DWORKING OR PROCESSING OF SHEET METAL OR METAL TUBES, RODS OR PROFILES WITHOUT ESSENTIALLY REMOVING MATERIAL; PUNCHING METAL
    • B21D22/00Shaping without cutting, by stamping, spinning, or deep-drawing
    • B21D22/20Deep-drawing
    • GPHYSICS
    • G06COMPUTING OR CALCULATING; COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F2111/00Details relating to CAD techniques
    • G06F2111/10Numerical modelling
    • YGENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02PCLIMATE CHANGE MITIGATION TECHNOLOGIES IN THE PRODUCTION OR PROCESSING OF GOODS
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    • Y02P90/30Computing systems specially adapted for manufacturing

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Abstract

The invention relates to the technical field of evaluation of stamping scratches of automobile parts, in particular to a prediction method and a prediction system for improving the prediction accuracy of the stamping scratches. Acquiring impact parameters and scratch conditions, performing simulation analysis to obtain simulation parameters, and constructing an impact database according to the impact parameters, the scratch conditions and the simulation parameters; obtaining influence factors for generating impact scratches; constructing a functional relation among impact parameters, simulation parameters and influence factors; setting impact scratch evaluation conditions of influencing factors; obtaining corresponding simulation parameters, calculating influence parameters of the to-be-predicted part according to the simulation parameters and the design impact parameters, comparing the calculated influence parameters of the to-be-predicted part with the impact scratch evaluation conditions, and predicting the impact scratch condition of the part according to the comparison result. The prediction method is extremely simple, can greatly improve the prediction precision, and provides good theoretical guidance for the subsequent stamping production of parts.

Description

Prediction method and prediction system for improving prediction accuracy of impact scratches
Technical Field
The invention relates to the technical field of evaluation of stamping scratches of automobile parts, in particular to a prediction method and a prediction system for improving the prediction accuracy of the stamping scratches.
Background
The impact line is a linear convex-concave trace generated on the side wall of the forming part along with the phenomena of impact, stress sudden change and the like in the forming process, and is a linear convex-concave trace formed by the fact that a plate material flows through a fillet of a female die opening and is hardened by friction and materials when the plate material is formed under the action of a male die after a material pressing ring and the female die are closed. When drawing and forming are carried out, the upper die descends and is pressed on the material pressing surface, the blank holder and the female die tightly press the plate material before forming begins, and then the plate material flows in along with the forming beginning. The sheet material begins the dynamic friction that flows from the static friction of the state of compressing tightly, and the material is stretched and thinned and is accompanied with work hardening at the die fillet, produces the impact line. As the drawing proceeds, it is eventually left on the sides or on the product, with the core featuring linear convexo-concave. Analysis of the cause of the impact line shows that it is almost impossible to avoid the impact line completely. But can be foreseen in advance at the design stage of the die, and corresponding countermeasures are taken to ensure that the die is left outside the appearance surface of the product as much as possible or the damage degree of the die to the surface is reduced.
Whether the impact marks affect the appearance of the exposed surfaces of the outer plate and the inner plate is a factor which seriously affects the product quality and the product delivery. At present, the impact trace judgment is realized by simulating the impact trace line of a die orifice in software, the judgment method can only judge whether the impact exists, whether the impact degree finally affects the appearance of a product cannot be judged, and the phenomenon of giving way to a serious impact trace or over-detecting the impact trace is easily caused.
At present, a die opening impact scratch line is taken as a standard for judging an impact line, and the impact line is judged to exist as long as a plate passes through a die opening fillet. The existing evaluation standard can only evaluate the impact size, cannot accurately judge the impact mark degree, and does not have a proper evaluation rule to accurately evaluate the impact generation degree at the initial design stage; the evaluation results (area, degree) cannot be quantified; experience, standards, procedures, etc. for impacting appearance defects are not accumulated. The existing female die orifice impact scratch line can detect whether impact occurs, but the degree of the impact mark cannot be judged, so that the impact mark which cannot be covered in the production process is possibly generated if the impact mark passes by, the appearance quality is influenced, and even parts are scrapped; if the scheme is adopted to solve the impact marks, other defects can be caused, and the actual original product cannot generate obvious impact lines after being painted, so that a large amount of time and energy are wasted for product design, and for some outer plate pieces, the mould is greatly changed or scrapped for solving the more serious problems of insufficient product rigidity and the like caused by the impact marks.
Disclosure of Invention
The invention aims to solve the defects of the background technology and provides a prediction method and a prediction system for improving the prediction precision of impact scratches.
The technical scheme of the invention is as follows: a prediction method for improving the prediction accuracy of impact scratches comprises the steps of collecting impact parameters and scratch conditions of main parts on a production line, carrying out simulation analysis based on the impact parameters to obtain simulation parameters, and constructing an impact database of the production line according to the impact parameters, the scratch conditions and the simulation parameters; carrying out theoretical analysis on the impact scratches to obtain the influence factors of the impact scratches; analyzing the impact database, and constructing a functional relation among impact parameters, simulation parameters and influence factors; setting impact scratch evaluation conditions of influencing factors by combining scratch conditions in an impact database; the method comprises the steps of carrying out simulation analysis according to design impact parameters of a part to be predicted to obtain corresponding simulation parameters, calculating influence parameters of the part to be predicted according to the simulation parameters and the design impact parameters, comparing the calculated influence parameters of the part to be predicted with impact scratch evaluation conditions, and predicting the impact scratch condition of the part according to comparison results.
Further said impact parameters include fillet radius of plate bending, plate thinning, plate to die contact pressure, plate stock thickness, plate material parameters, YP, TS, EL and r values.
Further the mar condition is including appearing the mar and not appearing the mar, and the mar condition still includes the regional quantitative data of impact mar when appearing the mar.
Further the simulation parameters include SkidMarks values and impact amounts.
Further such influencing factors include the amount of bend recovery of the sheet member by the radius of curvature of the sheet member and the slight deformation of the outer surface by tension and the contact pressure of the die with the sheet member.
Further, the method for setting the impact scratch evaluation condition of the influencing factor by combining the scratch conditions in the impact database comprises the following steps: and selecting the state with the smallest influence factor under the condition of scratch as a critical state, and selecting the influence factor condition under the critical state as an impact scratch evaluation condition.
The method for predicting the impact scratch condition of the part through the comparison result further comprises the following steps: and when the values of the influence factors of the parts to be predicted accord with the impact scratch evaluation conditions, judging that the impact scratches cannot occur, otherwise, judging that the impact scratches occur.
Further, the main parts comprise side walls, fenders, hood outer plates, four-door inner and outer plates and a trunk inner and outer plate.
A prediction system of a prediction method for improving the accuracy of impact scratch prediction includes,
the impact scratch acquisition module is used for acquiring impact parameters and scratch conditions of main parts on a production line;
the simulation analysis module is used for carrying out simulation analysis on the acquired impact parameters to obtain simulation parameters;
the theoretical analysis module is used for theoretically analyzing the plate forming process to obtain influence factors generating impact scratches;
the evaluation condition setting module is used for analyzing the impact parameters, the scratch conditions and the simulation parameters to obtain impact scratch evaluation conditions;
and the prediction judgment module is used for comparing the influence parameters of the part to be predicted with the impact scratch evaluation conditions and outputting the impact scratch prediction result of the part according to the comparison condition.
Further the evaluation condition setting module may include,
the critical state acquisition module is used for acquiring the state with the minimum influence factor in the scratch condition as a critical state;
and the setting condition module is used for selecting the influencing factor condition in the critical state as the impact scratch evaluation condition.
According to the method, data analysis is carried out on the impact scratch generation condition in the forming process of the parts and components of the production line, simulation analysis is carried out on the impact parameters to obtain simulation parameters, the influence factors of the impact scratches are analyzed theoretically, the influence factors are corresponding to the impact parameters and the simulation parameters, data analysis is carried out on the impact parameters, the scratch condition and the simulation parameters to obtain evaluation conditions for predicting the impact scratches, for the subsequent parts and components, only the influence factors need to be calculated, whether the impact scratches occur or not can be judged by comparing the evaluation conditions, and the whole scheme is very simple.
The prediction method is extremely simple, can greatly improve the prediction precision, provides good theoretical guidance for the subsequent part stamping production, saves a large amount of time cost and manpower and material resource cost, and has great popularization value.
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FIG. 1: the plate of the invention impacts the principle sketch map.
Detailed Description
Reference will now be made in detail to the embodiments of the present invention, wherein like or similar reference numerals refer to like or similar elements or elements having like or similar functions throughout. The embodiments described below with reference to the drawings are illustrative and intended to be illustrative of the invention and are not to be construed as limiting the invention.
In the description of the present invention, it is to be understood that the terms "longitudinal", "lateral", "length", "width", "thickness", "upper", "lower", "front", "rear", "left", "right", "vertical", "horizontal", "top", "bottom", "inner", "outer", etc. indicate orientations or positional relationships based on those shown in the drawings, and are only for convenience of description and simplicity of description, but do not indicate or imply that the device or element being referred to must have a particular orientation, be constructed and operated in a particular orientation, and thus, are not to be construed as limiting the present invention.
Furthermore, the terms "first", "second" and "first" are used for descriptive purposes only and are not to be construed as indicating or implying relative importance or implicitly indicating the number of technical features indicated. Thus, a feature defined as "first" or "second" may explicitly or implicitly include one or more of that feature. In the description of the present invention, "a plurality" means at least two, e.g., two, three, etc., unless specifically limited otherwise.
The invention is described in further detail below with reference to the figures and the specific embodiments.
The embodiment introduces a prediction method for improving the prediction accuracy of impact scratches, and the method is used for performing prediction analysis on impact scratches on a plate which is not formed yet, predicting whether the plate has the impact scratches after the plate is subjected to punch forming according to design stamping parameters, and performing the specific prediction method according to the following steps:
1. the method comprises the steps of collecting impact parameters of main parts on site, wherein the main parts of the embodiment comprise conventional automobile structures such as side walls, wheel fenders, hood outer plates, four-door inner and outer plates, trunk inner and outer plates and the like, and the parts of different automobile types have different structures, so that the data collection of the parts of different automobile types is required;
counting the parts with the impact scratches and the parts without the impact scratches, wherein the parts with the impact scratches need to record data of the impact scratches, and quantizing the positions and areas of the impact scratches;
the collected impact parameters comprise the fillet radius of the plate bending, the plate thinning amount, the contact pressure of the plate and a die, the plate thickness, the plate material parameters, YP (yield strength), TS (tensile strength), EL (ductility) and r value (anisotropy);
2. carrying out simulation analysis on the plate stamping forming process, simulating the plate stamping forming process through simulation software, and importing the stamping parameters in the steps into the simulation software for simulation so as to obtain Skidmarks values (sliding trace values) and impact quantity which cannot be obtained through field actual measurement;
constructing an impact database of the production line by using the stamping parameters and the scratch conditions acquired in the step 1 and the Skidmarks values and the impact quantities acquired in the step, as shown in the table I and the table II,
table one: some production line spare part impact parameter acquisition condition table
Figure BDA0003136674910000051
Figure BDA0003136674910000061
Table two: some production line spare part simulation parameter obtains situation table
Figure BDA0003136674910000062
3. Theoretical analysis is carried out on the plate forming process, a specific principle drawing is shown in fig. 1, the analysis and judgment result shows that the impact scratch generated on the plate forming is that the bending recovery amount of the plate for the bending radius and the micro deformation of the outer surface caused by tension and the contact pressure of a mold and the plate are the largest, the bending recovery amount of the plate for the bending radius and the micro deformation of the outer surface caused by tension are K values, the contact pressure of the mold and the plate is Z values, namely, the impact scratch condition of the final plate forming can be reflected by calculating the K values and the Z values, wherein the Z value is one parameter of impact parameters, the specific design parameters can be obtained, the K values are values which cannot be actually collected and are obtained by calculation, and the calculation formula of the K values is as follows:
k ═ (offset +5) × (SkidMarks)/bend R2*10000
Wherein: k, the bending radius of the plate gives the plate the bending recovery amount and the outer surface micro deformation caused by tension;
deviation amount-deviation value is derived by the speed of grid movement in the process of simulation analysis;
skidmarks-sliding mark values obtained by simulation analysis;
bending R is the bending radius in the process of stamping and forming the plate;
as shown in table three, the K value and the Z value are obtained after simulation analysis of some production line parts;
table three: some production line spare part simulation parameter obtains situation table
Figure BDA0003136674910000071
4. Analyzing the punching database, setting an impact scratch evaluation condition of an influence factor by combining scratch conditions in the impact database, selecting a state with the smallest influence factor under the condition that the scratch occurs as a critical state, and selecting the influence factor condition under the critical state as the impact scratch evaluation condition;
in practical cases, the influencing factors related to this embodiment are the K value and the Z value, where the ratio of the K value to the influencing factor of the impact scratch is the largest, so the first threshold of the K value is determined first, the first threshold of this embodiment is 1.8, the second threshold of the Z value is determined by combining the impact scratch condition and the K value condition in the impact database, the second threshold of this embodiment is 1, and then the impact scratch evaluation condition is determined according to the first threshold and the second threshold: the K value is less than 1.8 or the K value is more than or equal to 1.8 and the Z value is less than 1, so that impact scratches cannot be generated during impact forming, otherwise, the impact scratches are generated;
5. during actual prediction, simulation analysis is carried out on the design impact parameters of the part to be predicted to obtain the K value of the part, the Z value in the design impact parameters is combined to be compared with the impact scratch evaluation condition, if the impact scratch evaluation condition is met, the fact that the impact scratch does not occur in the part stamping forming process is judged, and if the impact scratch evaluation condition is not met, the fact that the impact scratch occurs is judged.
The embodiment can construct a control system for automatic operation, and the system comprises an impact scratch acquisition module for acquiring impact parameters and scratch conditions of main parts on a production line;
the simulation analysis module is used for carrying out simulation analysis on the acquired impact parameters to obtain simulation parameters;
the theoretical analysis module is used for theoretically analyzing the plate forming process to obtain influence factors generating impact scratches;
the evaluation condition setting module is used for analyzing the impact parameters, the scratch conditions and the simulation parameters to obtain impact scratch evaluation conditions;
and the prediction judgment module is used for comparing the influence parameters of the part to be predicted with the impact scratch evaluation conditions and outputting the impact scratch prediction result of the part according to the comparison condition.
The evaluation condition setting module comprises a critical state acquisition module, a judgment module and a judgment module, wherein the critical state acquisition module is used for acquiring the state with the minimum influence factor in the scratch occurrence condition as a critical state;
and the setting condition module is used for selecting the influencing factor condition in the critical state as the impact scratch evaluation condition.
The foregoing shows and describes the general principles, essential features, and advantages of the invention. It will be understood by those skilled in the art that the present invention is not limited to the embodiments described above, which are given by way of illustration of the principles of the present invention, and that various changes and modifications may be made without departing from the spirit and scope of the invention as defined by the appended claims. The scope of the invention is defined by the appended claims and equivalents thereof.

Claims (10)

1. A prediction method for improving the prediction accuracy of impact scratches is characterized in that: acquiring impact parameters and scratch conditions of main parts on a production line, performing simulation analysis based on the impact parameters to obtain simulation parameters, and constructing an impact database of the production line according to the impact parameters, the scratch conditions and the simulation parameters; carrying out theoretical analysis on the impact scratches to obtain the influence factors of the impact scratches; analyzing the impact database, and constructing a functional relation among impact parameters, simulation parameters and influence factors; setting impact scratch evaluation conditions of influencing factors by combining scratch conditions in an impact database; the method comprises the steps of carrying out simulation analysis according to design impact parameters of a part to be predicted to obtain corresponding simulation parameters, calculating influence parameters of the part to be predicted according to the simulation parameters and the design impact parameters, comparing the calculated influence parameters of the part to be predicted with impact scratch evaluation conditions, and predicting the impact scratch condition of the part according to comparison results.
2. The prediction method for improving the accuracy of impact scratch prediction according to claim 1, wherein: the impact parameters comprise fillet radius of plate bending, plate thinning amount, plate and die contact pressure, plate thickness, plate material parameters, YP, TS, EL and r values.
3. The prediction method for improving the accuracy of impact scratch prediction according to claim 1, wherein: the mar condition is including appearing the mar and not appearing the mar, and the mar condition still includes the regional quantitative data of impact mar when appearing the mar.
4. The prediction method for improving the accuracy of impact scratch prediction according to claim 1, wherein: the simulation parameters include SkidMarks values and impact values.
5. The prediction method for improving the accuracy of impact scratch prediction according to claim 1, wherein: the influencing factors include the amount of bend recovery of the sheet member by the bending radius of the sheet member and the slight deformation of the outer surface caused by the tension and the contact pressure of the die with the sheet member.
6. The prediction method for improving the accuracy of impact scratch prediction according to claim 1, wherein: the method for setting the impact scratch evaluation condition of the influencing factors by combining the scratch conditions in the impact database comprises the following steps: and selecting the state with the smallest influence factor under the condition of scratch as a critical state, and selecting the influence factor condition under the critical state as an impact scratch evaluation condition.
7. The prediction method for improving the accuracy of impact scratch prediction according to claim 1, wherein: the method for predicting the impact scratch condition of the part through the comparison result comprises the following steps: and when the values of the influence factors of the parts to be predicted accord with the impact scratch evaluation conditions, judging that the impact scratches cannot occur, otherwise, judging that the impact scratches occur.
8. The prediction method for improving the accuracy of impact scratch prediction according to claim 1, wherein: the main parts comprise side walls, wheel fenders, hood outer plates, four-door inner and outer plates and a trunk inner and outer plate.
9. A prediction system comprising a prediction method for improving the prediction accuracy of impact scratches as claimed in any one of claims 1 to 8, wherein: comprises the steps of (a) preparing a mixture of a plurality of raw materials,
the impact scratch acquisition module is used for acquiring impact parameters and scratch conditions of main parts on a production line;
the simulation analysis module is used for carrying out simulation analysis on the acquired impact parameters to obtain simulation parameters;
the theoretical analysis module is used for theoretically analyzing the plate forming process to obtain influence factors generating impact scratches;
the evaluation condition setting module is used for analyzing the impact parameters, the scratch conditions and the simulation parameters to obtain impact scratch evaluation conditions;
and the prediction judgment module is used for comparing the influence parameters of the part to be predicted with the impact scratch evaluation conditions and outputting the impact scratch prediction result of the part according to the comparison condition.
10. A prediction system for improving the accuracy of impact scratch prediction as claimed in claim 9, wherein: the evaluation condition setting module comprises a plurality of evaluation condition setting modules,
the critical state acquisition module is used for acquiring the state with the minimum influence factor in the scratch condition as a critical state;
and the setting condition module is used for selecting the influencing factor condition in the critical state as the impact scratch evaluation condition.
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Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN1563957A (en) * 2004-04-09 2005-01-12 浙江大学 Automatic detection meethod and system for smooth surface flaw
US20080033695A1 (en) * 2004-10-18 2008-02-07 Nsk Ltd Abnormality Diagnosing System For Mechanical Equipment
CN101832899A (en) * 2010-04-13 2010-09-15 大连交通大学 Test method for evaluating initial wear resistance of austenite high manganese steel under high impact load
CA2988872A1 (en) * 2016-12-14 2018-06-14 Sage Dining Services, Inc. System and method for recipe and menu creation based upon ingredient information
CN110647133A (en) * 2019-09-09 2020-01-03 深圳市永达电子信息股份有限公司 Rail transit equipment state detection maintenance method and system

Patent Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN1563957A (en) * 2004-04-09 2005-01-12 浙江大学 Automatic detection meethod and system for smooth surface flaw
US20080033695A1 (en) * 2004-10-18 2008-02-07 Nsk Ltd Abnormality Diagnosing System For Mechanical Equipment
CN101832899A (en) * 2010-04-13 2010-09-15 大连交通大学 Test method for evaluating initial wear resistance of austenite high manganese steel under high impact load
CA2988872A1 (en) * 2016-12-14 2018-06-14 Sage Dining Services, Inc. System and method for recipe and menu creation based upon ingredient information
CN110647133A (en) * 2019-09-09 2020-01-03 深圳市永达电子信息股份有限公司 Rail transit equipment state detection maintenance method and system

Non-Patent Citations (2)

* Cited by examiner, † Cited by third party
Title
CHARANDEEP SINGH 等: "Deformation of Display for Handheld Devices During Drop Impact", 《 2016 IEEE 66TH ELECTRONIC COMPONENTS AND TECHNOLOGY CONFERENCE (ECTC)》 *
丁明超 等: "基于微观划痕的疲劳强度预测", 《东北大学学报(自然科学版)》 *

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