Modeling of forming efficiency using genetic programming

Miran Brezočnik (Author), Jože Balič (Author), Zlatko Kampuš (Author)

Abstract

This paper proposes new approach for modeling of various processes in metal-forming industry. As an example, we demonstrate the use of genetic programming (GP) for modeling of forming efficiency. The forming efficiency is a basis for determination of yield stress which is the fundamental characteristic of metallic materials. Several different genetically evolved models for forming efficiency on the basis of experimental data for learning were discovered. The obtained models (equations) differ in size, shape, complexity and precision of solutions. In one run out of many runs of our GP system the well-known equation of Siebel was obtained. This fact leads us to opinion that GP is a very powerful evolutionary optimization method appropriate not only for modeling of forming efficiency but also for modeling of many other processes in metal-forming industry.

Keywords

plastično preoblikovanje;meja plastičnosti;napetost tečenja;matematično modeliranje;genetski algoritmi;genetsko programiranje;umetna inteligenca;optimizacija procesov;metal forming;yield stress;forming efficiency;mathematical modeling;adaptation;genetic methods;genetic algorithm;genetic programming;artificial intelligence;process optimisation;

Data

Language:	English
Year of publishing:	2001
Typology:	1.01 - Original Scientific Article
Organization:	UL FS - Faculty of Mechanical Engineering
UDC:	519.6:621.77
COBISS:	5979414
ISSN:	0924-0136
Views:	1534
Downloads:	103
Average score:	0 (0 votes)
Metadata:

Other data

Secondary language:	English
Secondary keywords:	plastično preoblikovanje;meja plastičnosti;napetost tečenja;matematično modeliranje;genetski algoritmi;genetsko programiranje;umetna inteligenca;optimizacija procesov;
URN:	URN:SI:UM:
Pages:	str. 20-29
Volume:	ǂVol. ǂ109
Issue:	ǂno. ǂ1/2, special issue "AMME'97"
Chronology:	2001
ID:	8719081