Genetic programming method for modelling of cup height in deep drawing process

被引：10

作者：

Gusel, L. ^{[1
]}

Boskovic, V ^{[2
]}

Domitner, J. ^{[2
]}

Ficko, M. ^{[1
]}

Brezocnik, M. ^{[1
]}

机构：

[1] Univ Maribor, Fac Mech Engn, Maribor, Slovenia

[2] Graz Univ Technol, Inst Mat Sci Joining & Forming, Graz, Austria

来源：

ADVANCES IN PRODUCTION ENGINEERING & MANAGEMENT | 2018年 / 13卷 / 03期

关键词：

Metal forming; Deep drawing; Modelling; Genetic programming; PROCESS PARAMETERS; OPTIMIZATION; ALGORITHM; PREDICTION; SHEET;

D O I：

10.14743/apem2018.3.296

中图分类号：

T [工业技术];

学科分类号：

08 ;

摘要：

Genetic programming method for modelling of maximum height of deep drawn high strength sheet materials is proposed in this paper. Genetic programming (GP) is an evolutionary computation approach which uses the principles of Darwin's natural selection to develop effective solutions for different problems. The aim of the research was the modelling of cylindrical cup height in deep drawing process and analysis of the impact of process parameters on material formability. High strength steel sheet materials (DP1180HD and DP780) were formed by deep drawing using different punch speeds and blank holder forces. The heights of specimens before cracks occur were measured. Therefore, four input parameters (yield stress, tensile strength, blank holder force, punch speed) and one output parameter (cup height) were used in the research. The experimental data were the basis for obtaining various accurate prediction models for the cup heights by the genetic programming method. Results showed that proposed genetic modelling method can successfully predict fracture problems in a process of deep drawing. (C) 2018 CPE, University of Maribor. All rights reserved.

引用

页码：358 / 365

页数：8

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