Multi-objective optimization method based on fusion of Dynaform and intelligent algorithm

A multi-objective optimization and intelligent algorithm technology, applied in multi-objective optimization, multi-objective optimization based on the fusion of Dynaform and intelligent algorithms

Inactive Publication Date: 2020-09-11
GUANGDONG OCEAN UNIVERSITY
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Problems solved by technology

Taking the stamping forming process of the air-conditioning compressor shell as an example, aiming at the problems of cracking in the force transmission area of ​​the upper shell wall and wrinkling in the flange deform

Method used

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  • Multi-objective optimization method based on fusion of Dynaform and intelligent algorithm
  • Multi-objective optimization method based on fusion of Dynaform and intelligent algorithm
  • Multi-objective optimization method based on fusion of Dynaform and intelligent algorithm

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[0138] Example 1

[0139] A multi-objective optimization method based on the fusion of Dynaform and intelligent algorithms, including the following steps:

[0140] (1) Numerical simulation of stamping forming process: establish a computer-aided design model, and use finite element analysis software Dynaform to carry out stamping forming numerical simulation, map the physical process of stamping forming, establish a finite element network in Dynaform, and divide the network;

[0141] (2) With the help of the Dynaform mesh repair ModelCheck / Repair tool, the part boundary and the actual margin are compared and checked, the Overlap tool is used to check the overlapping element, and the CursorPickPart tool is used to check the normal direction of the element. Through the punch and sheet drawing process, Obtain the finite element model of the sheet metal stamping process;

[0142] (3) Orthogonal experimental design: select five parameters: stamping speed, friction coefficient, blank holder ...

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Abstract

The invention relates to a multi-objective optimization method based on fusion of Dynaform and an intelligent algorithm, and belongs to the technical field of stamping forming process optimization, and the method comprises the following steps: establishing a computer aided design model, performing stamping forming numerical simulation by utilizing finite element analysis software Dynaform, and mapping a stamping forming physical process; adopting a Taguchi orthogonal test method to carry out stamping forming simulation test arrangement, carrying out variance analysis on test results, and comprehensively evaluating the influence degree and the influence rule of the stamping speed, the friction coefficient, the blank holder force, the plate thickness and the die gap on the stamping forming quality in the stamping process; training a radial basis function (RBF) neural network by utilizing simulation experiment data, obtaining a Pareto optimal solution set by combining a non-dominated sorting genetic algorithm (NSGAII), screening out an optimal process through evaluation of a TOPSIS (Tracking Optimal Solution Sorting Method), and verifying the effectiveness of the method. According tothe method, the defects in the prior art are overcome, the die testing cost is reduced, cost is reduced, efficiency is improved, and a theoretical basis is provided for online regulation and control of stamping forming process parameters.

Description

technical field [0001] The invention relates to a multi-objective optimization method, in particular to a multi-objective optimization method based on the fusion of Dynaform and intelligent algorithms, and belongs to the technical field of stamping forming process optimization. Background technique [0002] Press-formed products are prone to defects such as cracking and wrinkling, and the optimization of process parameters for the quality of stamping forming is a typical multi-objective optimization problem. In the process of stamping forming, process parameters such as stamping speed, friction coefficient, blank holder force, sheet thickness and die clearance have many complex nonlinear effects on the quality of stamping forming. How to establish an optimization model with high approximation to obtain high quality economically and quickly Stamping products become one of the main challenges in stamping process optimization and quality control. [0003] Numerical simulation ...

Claims

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Application Information

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IPC IPC(8): G06F30/27G06F30/17G06N3/04G06N3/08G06F111/06G06F119/14
CPCG06N3/08G06N3/045
Inventor 梅端刘强陈入云
Owner GUANGDONG OCEAN UNIVERSITY
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