CN109033512B - Determination method for optimal cutting edge shape of fine blanking die - Google Patents

Determination method for optimal cutting edge shape of fine blanking die Download PDF

Info

Publication number
CN109033512B
CN109033512B CN201810620605.9A CN201810620605A CN109033512B CN 109033512 B CN109033512 B CN 109033512B CN 201810620605 A CN201810620605 A CN 201810620605A CN 109033512 B CN109033512 B CN 109033512B
Authority
CN
China
Prior art keywords
cutting edge
die
judging
edge shape
shape
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Active
Application number
CN201810620605.9A
Other languages
Chinese (zh)
Other versions
CN109033512A (en
Inventor
张丽筠
张祥林
崔莹
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Huazhong University of Science and Technology
Ezhou Institute of Industrial Technology Huazhong University of Science and Technology
Original Assignee
Huazhong University of Science and Technology
Ezhou Institute of Industrial Technology Huazhong University of Science and Technology
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Huazhong University of Science and Technology, Ezhou Institute of Industrial Technology Huazhong University of Science and Technology filed Critical Huazhong University of Science and Technology
Priority to CN201810620605.9A priority Critical patent/CN109033512B/en
Publication of CN109033512A publication Critical patent/CN109033512A/en
Application granted granted Critical
Publication of CN109033512B publication Critical patent/CN109033512B/en
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Classifications

    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F30/00Computer-aided design [CAD]
    • G06F30/20Design optimisation, verification or simulation
    • G06F30/23Design optimisation, verification or simulation using finite element methods [FEM] or finite difference methods [FDM]
    • 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
    • B21D28/00Shaping by press-cutting; Perforating
    • B21D28/02Punching blanks or articles with or without obtaining scrap; Notching
    • B21D28/14Dies
    • 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
    • Y02P90/00Enabling technologies with a potential contribution to greenhouse gas [GHG] emissions mitigation
    • Y02P90/30Computing systems specially adapted for manufacturing

Landscapes

  • Engineering & Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • Theoretical Computer Science (AREA)
  • Computer Hardware Design (AREA)
  • Evolutionary Computation (AREA)
  • Geometry (AREA)
  • General Engineering & Computer Science (AREA)
  • General Physics & Mathematics (AREA)
  • Mechanical Engineering (AREA)
  • Mounting, Exchange, And Manufacturing Of Dies (AREA)

Abstract

The invention belongs to the technical field of die manufacturing, and discloses a method for judging the shape of an optimal cutting edge of a fine blanking die, which comprises the following steps: step 1, simulating to obtain a region in which plastic deformation occurs to a mold cutting edge in the fine blanking process; step 2, determining a cutting edge area to be analyzed; step 3, at least one of a cutting edge deformation quantity judging method, a cutting edge internal stress judging method and a die integral stress judging method is selected to judge the shape of the cutting edge; and step 4, obtaining a judging result. The beneficial effects of the invention include: the method utilizes finite element software to simulate the stress and plastic deformation of the cutting edge of the die in the processing process of a certain part, judges the stress and plastic deformation, helps to judge the shape of the optimal cutting edge, and has the advantages of strong universality, high accuracy, low cost, low risk and the like.

Description

Determination method for optimal cutting edge shape of fine blanking die
Technical Field
The invention relates to the technical field of die manufacturing, in particular to a method for judging the shape of an optimal cutting edge of a fine blanking die.
Background
The fine blanking die cutting edge is a circular cutting edge, the fillet radius is much smaller than that of a common die, and the fine blanking die fillet R is about 0.01-0.1 mm.
Because the fine blanking die is subjected to large reverse acting force of the plate in the service process and is mainly concentrated at the cutting edge part of the die, cracks are most easily initiated in the cutting edge part of the die, and the die is invalid. In order to improve the service life of the die and reduce the stress and deformation of the die cutting edge as much as possible, two main ways of optimizing the shape of the die cutting edge exist at present. Firstly, continuously trimming the shape of the cutting edge of the die according to the experience of engineers, and secondly, increasing the radius of the round angle of the die. The former method has a certain risk, can not ensure to obtain stable service life of the die, has longer optimization period and has weak applicability. The latter method tends to result in excessive part burrs. The common feature of the above problems is that the shape of the die edge cannot be scientifically guaranteed to be in an optimal state.
Disclosure of Invention
The invention aims to overcome the technical defects, and provides a method for judging the optimal cutting edge shape of a fine blanking die, which solves the technical problem that the optimal cutting edge shape of the die is not scientifically judged in the prior art.
In order to achieve the technical aim, the invention provides a method for judging the shape of an optimal cutting edge of a fine blanking die, which comprises the following steps:
step 1, performing 1 simulation cycle on the fine blanking process of a part according to the shape of the cutting edge of an initial die set for the part, and obtaining a region where plastic deformation occurs to the cutting edge of the die in the fine blanking process.
And 2, determining a cutting edge area to be analyzed, wherein the cutting edge area to be analyzed comprises the area subjected to plastic deformation and an area extending to the periphery of the area subjected to plastic deformation. The extension area should not be too large in order to ensure that the area where plastic deformation occurs is incorporated into the determination, improving the accuracy of the determination.
Step 3, selecting at least one of the following judging methods to judge the cutting edge shape of the cutting edge area to be analyzed: a cutting edge deformation quantity judging method, a cutting edge internal stress judging method and a die integral stress judging method.
The cutting edge deformation quantity judging method aims at ensuring the stability of the cutting edge shape and comprises the following steps:
step 3.1.1, projecting the cutting edge area to be analyzed on a rectangular coordinate grid to enable grid nodes i in the cutting edge area to be analyzed m The number is m, and the coordinates are i in turn 1 (x 1 ,y 1 ,z 1 )、i 2 (x 2 ,y 2 ,z 2 )……i m (x m ,y m ,z m );
Step 3.1.2, calculating the deformation D of the node i of the cutting edge part in the latest simulation cycle in sequence i,n Average deformation D of edge n And variance of edge deformation
Wherein n represents the current total analog cycle number; m represents the number of nodes of the cutting edge part of the fine blanking die in the current research; d (D) 1,n 、D 2,n 、…、D m,n Respectively representing the deformation of the 1 st cutting edge node and the 2 nd cutting edge node … … m cutting edge node under the nth simulation cycle; d (D) n For D 1,n 、D 2,n 、…、D m,n Is used for the average value of (a),for D 1,n 、D 2,n 、…、D m,n Is a variance of (2);
step 3.1.3, judging "D n <D 0 And (2) andwhether the cutting edge shape is established or not is judged, if yes, the cutting edge shape meets the judging standard in the judging method, namely, the updated cutting edge shape of the die is obtained after the influence of plastic deformation is obtained preliminarily; if not, judging that the cutting edge shape does not meet the judgment standard in the judgment method; wherein D is 0 The value logic of the judgment standard value is dependent on the die precision standard in the fine blanking industry, and is generally not smaller than 0.01mm and not larger than 0.1mm; />Is a criterion value of the variance of the deformation of the cutting edge node, and the value logic is D 0 5 to 20 percent of the total weight of the composition.
The method for judging the maximum internal stress of the cutting edge aims at ensuring that the concentrated stress of the cutting edge is reduced and tends to be stable, and comprises the following steps:
step 3.2.1, obtaining the maximum value P of mises equivalent stress born by the cutting edge part in the latest simulation cycle process from the simulation result n,max Wherein n represents the current total analog cycle number;
step 3.2.2, judging "P n,max <P 0 Whether the cutting edge shape is established or not is judged, if yes, the cutting edge shape meets the judging standard in the judging method, namely, the updated cutting edge shape of the die is obtained after the influence of plastic deformation is obtained preliminarily; if not, judging that the cutting edge shape does not meet the judgment standard in the judgment method; wherein P is 0 Is a standard value for judging stress, and the value logic is a numerical value which is between the yield strength and the tensile strength of the die material and is close to the yield strength of the die material.
The method for discriminating the overall stress of the die aims to reduce the load of a press and reduce the energy consumption, and comprises the following steps:
step 3.3.1, obtaining the maximum value F of the integral stress of the die in the latest simulation cycle process from the simulation result n,max And counting the maximum overall stress F of the die obtained in the simulation results so far max Wherein n represents the current total analog cycle number;
step 3.3.2, judging "F n,max /F max <a' is established, if yes, the cutting edge shape is judged to meet the judgment standard in the judgment method, namely, the updated cutting edge shape of the mould is obtained after the mould is influenced by plastic deformation; if not, judging that the cutting edge shape does not meet the judgment standard in the judgment method; wherein a is the descending reaching standard value of the maximum value of the integral stress of the die, the value logic is the trend that the maximum value of the integral stress of the die gradually descends along with the increase of the simulation cycle number, and the maximum value of the integral stress of the die, the die and all the dies before the maximum value of the integral stress of the dieThe ratio of the maximum value of the integral stress of the die in the quasi-circulation is required to reach the standard value of the descending proportion of the maximum value of the integral stress of the die, and the value range of a is 0.6-0.9.
Step 4, if the cutting edge shape meets the judging standard in any judging method, judging that the cutting edge shape at the moment is the optimal die cutting edge shape; otherwise, the cutting edge shape at the moment is used as a new cutting edge shape of the initial die, and the step 1 is returned. The optimal die cutting edge shape is a cutting edge shape which is gradually stable after repeated continuous fine blanking processing.
Step 5, calculating the abrasion of the die cutting edge, and calculating the abrasion condition of the die cutting edge by using finite element software and the following abrasion model:
wherein W is the abrasion loss, K is the abrasion coefficient of the material, S is the average service life of the die, P is the contact stress, v is the sliding speed, and H is the Rockwell hardness of the material; the die edge wear calculation is based on the result of multiplying the die life average by the single fine blanking wear.
Of course, if the edge shape determined by the method is still unsatisfactory, the method can continue to enter the step 6, and the obtained optimal die edge shape is redesigned according to specific working conditions, namely, secondary optimization is performed, and the redesigned edge shape needs to meet the requirements of ensuring the processing quality of the part, high similarity of the edge shape and the calculation result, smooth transition of the edge shape and the like. And (3) after redesigning the shape of the cutting edge of the optimal die, returning to the step (1), and judging again by the method.
Preferably, the simulation cycle includes a fine blanking process and a die rebound process.
Preferably, the simulation cycle is implemented using finite element software in which the mold (i.e., the mold parts and panels to be optimized) is set to a plastic body.
Preferably, the finite element software comprises Abaqus and/or form. Abaqus is a powerful set of engineering simulated finite element software that solves a range of problems from relatively simple linear analysis to many complex nonlinear problems. Abaqus comprises a rich pool of cells that can mimic arbitrary geometries. And possess various types of material model libraries that can simulate the performance of typical engineering materials including metal, rubber, polymeric materials, composite materials, reinforced concrete, compressible superelastic foam materials, and geological materials such as soil and rock, as a general simulation tool, abaqus can solve a number of structural (stress/displacement) problems, and can simulate many problems in other engineering fields, such as heat conduction, mass diffusion, thermoelectric coupling analysis, acoustic analysis, geotechnical analysis (fluid permeation/stress coupling analysis), and piezoelectric medium analysis. The form is a finite element based process simulation system for analyzing various forming and heat treatment processes of metal forming and its related industries. By simulating the entire process on a computer, engineers and designers are helped: and the design tools and the product process flow reduce the expensive field test cost. The die design efficiency is improved, and the production and material cost is reduced. Shortening the research and development period of new products.
Compared with the prior art, the invention has the beneficial effects that: the stress and plastic deformation of the cutting edge of the die in the processing process of a certain part are simulated by utilizing finite element software, and are judged to help to judge the shape of the optimal cutting edge, so that the method has the advantages of strong universality, high accuracy, low cost, low risk and the like; stress and deformation of the fine blanking cutting edge part can be obviously reduced, and the failure of the die is delayed; meets the trend of the fine blanking industry on the higher requirements of prolonging the service life of the fine blanking die and reducing the energy consumption damage.
Drawings
FIG. 1 is a flow chart of the present invention;
FIG. 2 is a view showing the shape of a cutting edge which has not been judged by the present invention;
fig. 3 shows the edge shape obtained after the judgment of the present invention.
Detailed Description
The present invention will be described in further detail with reference to the drawings and examples, in order to make the objects, technical solutions and advantages of the present invention more apparent. It should be understood that the specific embodiments described herein are for purposes of illustration only and are not intended to limit the scope of the invention.
The invention provides a judging method of the optimal cutting edge shape of a fine blanking die, which is used for optimizing the cutting edge shape of various common fine blanking dies to prolong the service life of the dies.
Specifically: the deformation caused by the stress of the cutting edge in the service process of the fine blanking die comprises 2 aspects, namely, the shape of the cutting edge is changed due to plastic deformation of the cutting edge, and the shape of the cutting edge is changed due to abrasion of the cutting edge. The plastic deformation calculation of the cutting edge is based on continuous simulation calculation of plastic deformation accumulation of the cutting edge in the fine blanking process of the fine blanking die, and the abrasion amount calculation of the cutting edge is based on single simulation calculation of the product of the abrasion amount of the cutting edge and the average service life of the fine blanking die in the fine blanking process of the fine blanking die. According to the judging standard of the edge deformation, the internal stress of the edge and the whole stress of the die, calculating the deformation of the edge or the internal stress of the edge or the whole stress of the die in the single fine blanking process to judge whether the shape of the edge of the fine blanking die enters a stable state or not, namely the edge deformation is negligible. And the cutting edge shape obtained by superposing the plastic deformation and the abrasion loss of the cutting edge of the fine blanking die is the cutting edge shape which is most suitable for the part. The design can be manually redesigned on the basis of the optimal cutting edge shape according to the requirement.
Table 1 lists the ranges of threshold values for the optimum edge shape of the fine blanking die under the above criteria for edge deformation, internal stress, and overall stress. It should be noted that, for one embodiment, the threshold value is a point value located in the range values listed in table 1.
TABLE 1
Example 1: the flow corresponding to the above steps is executed by finite element software ABAQUS and/or form software to control the above execution form of the edge deformation amount in the above table 1, and the specific procedure is as follows.
And step 1, performing a simulation cycle on the fine blanking process of a part by using finite element software, wherein the simulation cycle comprises a fine blanking process and a die rebound process, and obtaining a region in which plastic deformation occurs to a die cutting edge in the fine blanking process. The edge shape is shown in fig. 2.
And 2, delineating a cutting edge region to be analyzed, wherein the region not only comprises a cutting edge plastic deformation region, but also is slightly enlarged on the basis of the cutting edge plastic deformation region so as to judge accurately.
And 3, selecting a cutting edge deformation quantity judging method to judge the cutting edge shape of the cutting edge area to be analyzed. Projecting the cutting edge region to be analyzed on a rectangular coordinate grid, enabling the number of grid nodes in the cutting edge region to be analyzed to be 18, deriving the grid nodes from finite element software, wherein the node numbers and coordinates of the grid nodes are as shown in table 2:
TABLE 2
Step 4, calculating the deformation D of the node i of the cutting edge part in the latest simulation cycle through the following model i,1 Average deformation D of edge 1 And variance of edge deformation
The specific data are calculated as follows: d (D) i,1 As described in Table 3, D 1 =7.7μm,;
TABLE 3 Table 3
D is selected and judged according to actual conditions 0 =0.85μm,Discrimination of D n <D 0 And->If 'false', the cutting edge shape at the moment is taken as a new initial die cutting edge shape, the step 1 is returned, the steps 1-3 are repeated, the repeated fine blanking processing process is calculated for a plurality of times, and the cutting edge shape is continuously updated until the updated cutting edge shape meets the discrimination standard.
After 6 times of simulation, the deformation D of the node i of the cutting edge part in the simulation cycle i,6 As shown in Table 4, the average deformation D of the edge portion 6 =0.84 μm, variance of edge deformationAnd according with the judging standard of the cutting edge deformation, judging that the cutting edge shape at the moment is the optimal mold cutting edge shape which is most suitable for the part.
TABLE 4 Table 4
And 5, calculating the abrasion condition of the die cutting edge by using finite element software and the following abrasion model on the basis of deformation of the die cutting edge after the 6 th time of plastic deformation influence:
wherein W is the abrasion loss, K is the abrasion coefficient of the material, S is the average service life of the die, P is the contact stress, v is the sliding speed, and H is the Rockwell hardness of the material; the die edge wear was calculated based on the result of multiplying the die life average by the single fine blanking wear, resulting in a new edge shape, as shown in fig. 3.
If the cutting edge shape judged by the method is still unsatisfactory, the cutting edge shape of the optimal die can be redesigned according to specific working conditions, and the redesigned optimal cutting edge shape needs to meet the requirements of ensuring the processing quality of the part, the similarity of the cutting edge shape and a calculation result is high, the cutting edge shape is smoothly transited, and the like. And (3) after redesigning the shape of the cutting edge of the optimal die, returning to the step (1), and judging again by the method.
Example 2: the flow corresponding to the above steps is executed by finite element software ABAQUS and/or form software to control the above execution form of the edge deformation amount in the above table 1, and the specific procedure is as follows.
And step 1, performing a simulation cycle on the fine blanking process of a part by using finite element software, wherein the simulation cycle comprises a fine blanking process and a die rebound process, and obtaining a region in which plastic deformation occurs to a die cutting edge in the fine blanking process. The edge shape is shown in fig. 2.
And 2, delineating a cutting edge region to be analyzed, wherein the region not only comprises a cutting edge plastic deformation region, but also is slightly enlarged on the basis of the cutting edge plastic deformation region so as to judge accurately.
And 3, selecting a cutting edge internal stress judging method to judge the cutting edge shape of the cutting edge area to be analyzed.
Step 4, obtaining the maximum value P of mises equivalent stress born by the cutting edge part in the latest simulation cycle process from the simulation result 1,max The specific data are: p (P) 1,max =3051.15MPa;
According to the actual condition, selecting and judging P 0 =2200 MPa; discrimination of "P 1,max <P 0 If 'false', the cutting edge shape at the moment is used as a new cutting edge shape of the initial die, the step 1 is returned, the steps 1-3 are repeated, the repeated fine blanking processing process is calculated, and the cutting edge shape of the initial die is continuously updated until the updated cutting edge shape meets the discrimination standard.
After 6 times of simulation, the internal stress P of the cutting edge in the circulation is simulated n,max As shown in Table 5, internal stress P of cutting edge 6,max 2177.55MPa, meets the criterion of internal stress of the cutting edge, and then determines the cutting edge shape at this time as the optimal die cutting edge shape most suitable for the part.
TABLE 5
And 5, calculating the abrasion condition of the die cutting edge by using finite element software and the following abrasion model on the basis of deformation of the die cutting edge after the 6 th time of plastic deformation influence:
wherein W is the abrasion loss, K is the abrasion coefficient of the material, S is the average service life of the die, P is the contact stress, v is the sliding speed, and H is the Rockwell hardness of the material; the die edge wear was calculated based on the result of multiplying the die life average by the single fine blanking wear, resulting in a new edge shape, as shown in fig. 3.
If the cutting edge shape judged by the method is still unsatisfactory, the cutting edge shape of the optimal die can be redesigned according to specific working conditions, and the redesigned optimal cutting edge shape needs to meet the requirements of ensuring the processing quality of the part, the similarity of the cutting edge shape and a calculation result is high, the cutting edge shape is smoothly transited, and the like. And (3) after redesigning the shape of the cutting edge of the optimal die, returning to the step (1), and judging again by the method.
Example 3: the flow corresponding to the above steps is executed by finite element software ABAQUS and/or form software to control the above execution form of the edge deformation amount in the above table 1, and the specific procedure is as follows.
And step 1, performing a simulation cycle on the fine blanking process of a part by using finite element software, wherein the simulation cycle comprises a fine blanking process and a die rebound process, and obtaining a region in which plastic deformation occurs to a die cutting edge in the fine blanking process. The edge shape is shown in fig. 2.
And 2, delineating a cutting edge region to be analyzed, wherein the region not only comprises a cutting edge plastic deformation region, but also is slightly enlarged on the basis of the cutting edge plastic deformation region so as to judge accurately.
And 3, selecting a die integral stress judging method to judge the shape of the cutting edge region to be analyzed.
Step 4, calculating the overall stress maximum value F of the model in the latest simulation cycle through the following model 1,max And counting the maximum overall stress F of the die obtained in the simulation results so far max The method comprises the steps of carrying out a first treatment on the surface of the The specific data are: f (F) 1,max =636.28kN;F max =636.28kN。
Selecting and judging a=0.7 according to actual conditions; discrimination of F 1,max /F max <a' is established, if not, the cutting edge shape at the moment is taken as a new initial die cutting edge shape, the step 1 is returned, the steps 1-3 are repeated, the repeated cycle is performed, the repeated fine blanking processing process is calculated, and the cutting edge shape is continuously updated until the updated cutting edge shape meets the criterion.
After 6 times of simulation, the overall stress F of the simulation cycle model n,max As shown in Table 6, F 1,max /F max =0.68, meeting the criterion of edge deformationAnd judging that the cutting edge shape at the moment is the optimal die cutting edge shape most suitable for the part.
TABLE 6
And 5, calculating the abrasion condition of the die cutting edge by using finite element software and the following abrasion model on the basis of deformation of the die cutting edge after the 6 th time of plastic deformation influence:
wherein W is the abrasion loss, K is the abrasion coefficient of the material, S is the average service life of the die, P is the contact stress, v is the sliding speed, and H is the Rockwell hardness of the material; the die edge wear was calculated based on the result of multiplying the die life average by the single fine blanking wear, resulting in a new edge shape, as shown in fig. 3.
If the cutting edge shape judged by the method is still unsatisfactory, the cutting edge shape of the optimal die can be redesigned according to specific working conditions, and the redesigned optimal cutting edge shape needs to meet the requirements of ensuring the processing quality of the part, the similarity of the cutting edge shape and a calculation result is high, the cutting edge shape is smoothly transited, and the like. And (3) after redesigning the shape of the cutting edge of the optimal die, returning to the step (1), and judging again by the method.
The above-described embodiments of the present invention do not limit the scope of the present invention. Any other corresponding changes and modifications made in accordance with the technical idea of the present invention shall be included in the scope of the claims of the present invention.

Claims (10)

1. A judging method of the optimal cutting edge shape of a fine blanking die comprises the following steps:
step 1, aiming at the shape of the cutting edge of an initial die set for a certain part, carrying out 1 simulation cycle on the fine blanking process of the part to obtain a region where plastic deformation occurs on the cutting edge of the die in the fine blanking process, wherein the plastic deformation occurs on the cutting edge to cause the shape of the cutting edge to change, and calculating the plastic deformation accumulation of the cutting edge in the fine blanking process of the fine blanking die;
step 2, determining a cutting edge area to be analyzed, wherein the cutting edge area to be analyzed comprises the area subjected to plastic deformation and an area extending to the periphery of the area subjected to plastic deformation;
step 3, judging the cutting edge shape of the cutting edge area to be analyzed by selecting at least one of the following judging methods to judge whether the cutting edge shape of the fine blanking die enters a stable state or not: the cutting edge deformation judging method is used for indicating whether the deformation of the cutting edge area to be analyzed is lower than the judging standard of the cutting edge deformation or not, the cutting edge internal stress judging method is used for indicating whether the maximum stress of the cutting edge area to be analyzed is lower than the judging standard of the stress or not, the judging standard of the stress is between the yield strength and the tensile strength of a die material, and the die integral stress judging method is used for indicating whether the ratio of the die integral stress maximum value in the current simulation cycle to the die integral stress maximum value in the current and all previous simulation cycles reaches the descending proportion standard value of the die integral stress maximum value or not;
step 4, if the judging result in the step 3 is satisfied, judging that the cutting edge shape at the moment is the optimal die cutting edge shape; otherwise, taking the cutting edge shape at the moment as a new initial die cutting edge shape, and returning to the step 1; and (3) circularly executing the steps 1 to 4 for a plurality of times, so that the optimal die cutting edge shape is the cutting edge shape which is gradually stable after a plurality of times of continuous fine blanking processing.
2. The method for determining the optimal cutting edge shape of the fine blanking die according to claim 1, wherein the method comprises the following steps: the simulation cycle includes a fine blanking process and a die rebound process.
3. The method for determining the optimal cutting edge shape of the fine blanking die according to claim 1, wherein the method comprises the following steps: the cutting edge deformation quantity judging method comprises the steps of,
step 3.1.1, projecting the cutting edge area to be analyzed on a rectangular coordinate grid to enable grid nodes i in the cutting edge area to be analyzed m The number is m, and the coordinates are i in turn 1 (x 1 ,y 1 ,z 1 )、i 2 (x 2 ,y 2 ,z 2 )……i m (x m ,y m ,z m );
Step 3.1.2, calculating the deformation of the node i of the cutting edge part in the latest simulation cycle in sequenceAverage deformation amount of edge part->And variance of edge deformation +.>
Wherein n represents the current total analog cycle number; m represents the number of nodes of the cutting edge part of the fine blanking die in the current research;respectively representing the deformation of the 1 st cutting edge node and the 2 nd cutting edge node … … m cutting edge node under the nth simulation cycle; />Is->Mean value of->Is->Is a variance of (2);
step 3.1.3, judging'< />And->< />Whether the cutting edge shape is established or not is judged, if yes, the cutting edge shape meets the judging standard in the judging method, namely, the updated cutting edge shape of the die is obtained after the influence of plastic deformation is obtained preliminarily; if not, judging that the cutting edge shape does not meet the judgment standard in the judgment method; wherein (1)>Is a judging standard value of the average value of the deformation of the cutting edge node, < + >>And the judgment standard value of the variance of the deformation of the cutting edge node is obtained.
4. The method for determining the optimal cutting edge shape of the fine blanking die according to claim 1, wherein the method comprises the following steps: the method for judging the maximum internal stress of the cutting edge comprises the steps of,
step 3.2.1 from the simulated junctionObtaining the maximum value of mises equivalent stress born by the cutting edge part in the latest simulation cycle processWherein n represents the current total analog cycle number;
step 3.2.2, judge'< P 0 Whether the cutting edge shape is established or not is judged, if yes, the cutting edge shape is judged to meet the judgment standard in the judgment method; if not, judging that the cutting edge shape does not meet the judgment standard in the judgment method; wherein P is 0 Is a standard value for judging stress.
5. The method for determining the optimal cutting edge shape of the fine blanking die according to claim 1, wherein the method comprises the following steps: the method for discriminating the overall stress of the die comprises the steps of,
step 3.3.1, obtaining the maximum value of the integral stress of the die in the latest simulation cycle process from the simulation resultAnd counting the maximum overall stress of the die obtained in the simulation results so far>Wherein n represents the current total analog cycle number;
step 3.3.2, judge'<a' is established, if yes, the cutting edge shape is judged to meet the judgment standard in the judgment method; if not, judging that the cutting edge shape does not meet the judgment standard in the judgment method; wherein a is the reduction reaching standard value which needs to be met by the maximum stress value of the whole die.
6. The method for determining the optimal cutting edge shape of the fine blanking die according to claim 1, wherein the method comprises the following steps: and 5, calculating the abrasion of the cutting edge of the die, and calculating the abrasion condition of the cutting edge of the die by using finite element software and the following abrasion model:
wherein,,for the amount of wear>For the wear coefficient of the material->For the average life of the mould>For contact stress->For the sliding speed +.>Is the Rockwell hardness of the material.
7. The method for determining the optimal cutting edge shape of the fine blanking die according to claim 6, wherein: and step 6, after the step 5, redesigning the obtained optimal die cutting edge shape.
8. The method for determining the optimal cutting edge shape of the fine blanking die according to claim 7, wherein: and (3) after redesigning the shape of the cutting edge of the optimal die, returning to the step (1).
9. The method for determining the optimal cutting edge shape of the fine blanking die according to claim 1, wherein the method comprises the following steps: the simulation cycle is implemented using finite element software in which the mold is set to be a plastic body.
10. The method for determining the optimal cutting edge shape of the fine blanking die according to claim 9, wherein: the finite element software includes Abaqus and/or form.
CN201810620605.9A 2018-06-15 2018-06-15 Determination method for optimal cutting edge shape of fine blanking die Active CN109033512B (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN201810620605.9A CN109033512B (en) 2018-06-15 2018-06-15 Determination method for optimal cutting edge shape of fine blanking die

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN201810620605.9A CN109033512B (en) 2018-06-15 2018-06-15 Determination method for optimal cutting edge shape of fine blanking die

Publications (2)

Publication Number Publication Date
CN109033512A CN109033512A (en) 2018-12-18
CN109033512B true CN109033512B (en) 2023-07-18

Family

ID=64609805

Family Applications (1)

Application Number Title Priority Date Filing Date
CN201810620605.9A Active CN109033512B (en) 2018-06-15 2018-06-15 Determination method for optimal cutting edge shape of fine blanking die

Country Status (1)

Country Link
CN (1) CN109033512B (en)

Families Citing this family (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN112207292B (en) * 2020-09-30 2021-10-19 上海交通大学 Diamond cutter cutting edge optimization implementation method for removing edge burrs

Citations (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US5377116A (en) * 1991-07-01 1994-12-27 Valenite Inc. Method and system for designing a cutting tool
JP2003019646A (en) * 2001-07-04 2003-01-21 Kanji Ueda Cutting tool performance evaluation system and cutting tool design method
CN102103646A (en) * 2010-12-14 2011-06-22 武汉理工大学 Wear prediction method for fine blanking dies based on finite-element technique and artificial neural network
CN102189168A (en) * 2010-02-10 2011-09-21 法因图尔知识产权股份公司 Method and device for influencing the cut and functional face on fine-blanked finished parts
CN104077442A (en) * 2014-06-24 2014-10-01 南京晨光集团有限责任公司 Method for controlling machining accuracy of large integrated thin-walled parts based on finite element analysis
CN105488300A (en) * 2015-12-24 2016-04-13 成都工具研究所有限公司 Method for designing shapes and sizes of passivation zones of cutting edges of cutters
CN105550464A (en) * 2016-01-07 2016-05-04 燕山大学 New submodel finite element analysis method based on cutting boundary deformation constraint

Family Cites Families (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP4000941B2 (en) * 2001-09-10 2007-10-31 スズキ株式会社 Die shape optimization support system and optimization support program in plastic working
IL202196A (en) * 2009-11-17 2015-03-31 Kennametal Inc Optimization of cutting edge geometry in rounded nose end mills
CN103934313A (en) * 2014-04-28 2014-07-23 仪征申威冲压有限公司 Grid strain analysis method for thin plate forming and application of method
CN104899390B (en) * 2015-06-18 2017-12-26 株洲时代新材料科技股份有限公司 A kind of evaluation method of region of high stress FEM mesh precision

Patent Citations (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US5377116A (en) * 1991-07-01 1994-12-27 Valenite Inc. Method and system for designing a cutting tool
JP2003019646A (en) * 2001-07-04 2003-01-21 Kanji Ueda Cutting tool performance evaluation system and cutting tool design method
CN102189168A (en) * 2010-02-10 2011-09-21 法因图尔知识产权股份公司 Method and device for influencing the cut and functional face on fine-blanked finished parts
CN102103646A (en) * 2010-12-14 2011-06-22 武汉理工大学 Wear prediction method for fine blanking dies based on finite-element technique and artificial neural network
CN104077442A (en) * 2014-06-24 2014-10-01 南京晨光集团有限责任公司 Method for controlling machining accuracy of large integrated thin-walled parts based on finite element analysis
CN105488300A (en) * 2015-12-24 2016-04-13 成都工具研究所有限公司 Method for designing shapes and sizes of passivation zones of cutting edges of cutters
CN105550464A (en) * 2016-01-07 2016-05-04 燕山大学 New submodel finite element analysis method based on cutting boundary deformation constraint

Also Published As

Publication number Publication date
CN109033512A (en) 2018-12-18

Similar Documents

Publication Publication Date Title
Ham et al. Forming limit curves in single point incremental forming
CN107908917B (en) High-strength plate stamping forming springback prediction method
CN101811156A (en) Method for obtaining molding resilience value of plate based on CAE (Computer Aided Engineering) analysis method
CN103810306A (en) Efficient design method of profile extrusion mould
CN106202727B (en) Design method and system of special-shaped cable drawing die
CN106991219A (en) A kind of normal direction interface rigidity Forecasting Methodology for considering three-dimensional fractal
CN109033512B (en) Determination method for optimal cutting edge shape of fine blanking die
CN105069249A (en) Method for optimizing cutting path of spacer frame type integral structural member
CN107025354A (en) A kind of window lifting plate forming technology optimization method based on range analysis
Aljibori et al. Finite element analysis of sheet metal forming process
CN109773058B (en) Method for forming a pattern on a press mold
CN110826280A (en) Process optimization method for improving cylindrical part drawing lug based on finite element simulation
JP2009045627A (en) Method and program for optimizing press forming condition
Kulakov et al. The assessment of impact of the crack size on the fracture load of a cylindrical element
Ngo et al. Optimizing design of two-dimensional forging preform by bi-directional evolutionary structural optimization method
Hambli et al. Finite element prediction of blanking tool cost caused by wear
CN112733393A (en) Method for optimizing performance of rivet-free riveting joint of metal heterogeneous plate
CN105512421A (en) Method for manufacturing large forging die
Behrens et al. Extension of the forming limits in cold and warm forging by the FE based fracture analysis with the integrated damage model of effective stresses
Hsiang et al. Application of finite element method and artificial neural network to the die design of radial forging processes
RAZ et al. USAGE OF TOPOLOGICAL OPTIMIZATION IN DESIGN OF MECHANICAL FORGING PRESSES.
JP6886178B2 (en) Preliminary prediction method for the presence or absence of cracks during molding of a press-molded product
Hsia Improved manufacturing process for movable retaining pins using optimization method
Tisza Numerical modeling and simulation in sheet metal forming academic and industrial perspectives
JP2006231384A (en) Method for predicting forging crack in cold forging process

Legal Events

Date Code Title Description
PB01 Publication
PB01 Publication
SE01 Entry into force of request for substantive examination
SE01 Entry into force of request for substantive examination
GR01 Patent grant
GR01 Patent grant