Wear prediction method for fine blanking dies based on finite-element technique and artificial neural network

A technology of artificial neural network and prediction method, which is applied in the field of fine blanking die wear prediction based on finite element technology and artificial neural network, and can solve problems such as inaccuracy and mold repair guarantee

Active Publication Date: 2011-06-22
武汉客车制造股份有限公司
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AI Technical Summary

Problems solved by technology

It is obviously inaccurate to use the die wear amount at the first blanking instead of the average wear amount of the die during the entire service

Method used

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  • Wear prediction method for fine blanking dies based on finite-element technique and artificial neural network
  • Wear prediction method for fine blanking dies based on finite-element technique and artificial neural network
  • Wear prediction method for fine blanking dies based on finite-element technique and artificial neural network

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Embodiment Construction

[0058] The method for predicting the wear of fine punching die based on the finite element technology and artificial neural network provided by the present invention takes the finite element analysis technology and the artificial neural network model as research methods, and establishes the wear prediction model of the fine punching die on the Matlab computing platform, which can quickly and accurately Predict the instant wear of the die and the total die wear of any number of blankings to guide production.

[0059] The precision die wear prediction method based on finite element technology and artificial neural network includes the following implementation steps:

[0060] (1) Finite element analysis model: A finite element analysis model of fine die wear is established in Deform-3D. The key steps for establishing the finite element analysis model are as follows:

[0061] 1) Fracture criterion

[0062] During the finite element analysis, the Normalized Cockcroft and Latham f...

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Abstract

The invention relates to the technical field of fine blanking, in particular relates to a wear prediction method for fine blanking dies based on a finite-element technique and an artificial neural network. The method provided by the invention comprises the following steps: building a finite-element analysis model, namely, simulating a fine blanking process on a finite-element analysis and calculation platform, and calculating the wear extent of a fine blanking die in the fine blanking process by using an Archard wear model; building a neural network model, namely, training a designed neural network model by using a finite-element analysis result guided by an orthogonal experimental design so as to obtain a functional relation between the wear extent of the fine blanking die and fine blanking parameters; obtaining the fine blanking parameters, namely, obtaining the functional relations between the fine blanking parameters and the wear extent, blanking time, and the like of the fine blanking die according to geometrical relationships and production practices; and building and simulating a fine blanking wear prediction model. The method provided by the invention has the advantages of high prediction precision, fast response speed and strong operability.

Description

technical field [0001] The invention relates to the technical field of fine blanking, in particular to a fine blanking die wear prediction method based on finite element technology and artificial neural network. Background technique [0002] Fine blanking (referred to as fine blanking) technology can produce blanking parts with high cross-sectional quality and good mechanical properties through a single step process, eliminating the subsequent processing steps, greatly improving production efficiency and reducing production costs. At present, the technology is widely used in motorcycles, automobiles and aerospace fields. The special process conditions of fine blanking: the blank holder with V-shaped ring gear, high blank holder force, high counter-top force and small blanking gap make the wear degree of the fine blanking die far greater than that of the blanking die. Die wear degree during ordinary blanking process. When the wear amount of the fine punching die reaches a c...

Claims

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Application Information

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IPC IPC(8): G06F17/50G06N3/02
Inventor 毛华杰华林钱东升尹飞
Owner 武汉客车制造股份有限公司
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