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Title:Yield strength modelling of formed material using evolutionary computational method
Authors:Gusel, Leo (Author)
Rudolf, Rebeka (Author)
Files:URL http://www.metalurgija.org.rs/mjom/vol15/No%201/3_Gusel_MJoM_1501.pdf
 
Language:English
Work type:Unknown ()
Typology:1.01 - Original Scientific Article
Organization:FS - Faculty of Mechanical Engineering
Abstract:In this paper we propose an evolutionary computation approach for the modelling of yield strength in formed material. One of the most general evolutionary computation methods is genetic programming, which was used in our research. Genetic programming is an automated method for creating a working computer program from a problemćs high-level statement. Genetic programming does this by genetically breeding a population of computer programs using the principles of Darwinianćs natural selection and biologically inspired operations. During our research, material was cold formed by drawing using different process parameters and then determining yield strengths (dependent variable) of the specimens. On the basis of a training data set, various different genetic models for yield strength distribution were developed during simulated evolution. The accuracies of the best models were proved by a testing data set and comparing between the genetic and regression models. The research showed that very accurate genetic models can be developed by the proposed approach.
Keywords:metal forming, yield strength, genetic programming, modelling
Year of publishing:2009
UDC:620.1
ISSN on article:0354-6306
COBISS_ID:13042966 New window
NUK URN:URN:SI:UM:DK:0LOFVKMV
Views:1628
Downloads:27
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Categories:Misc.
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Record is a part of a journal

Title:Metalurgija
Shortened title:Metalurgija
Publisher:Savez inženjera metalurgije Jugoslavije
ISSN:0354-6306
COBISS.SI-ID:62378 New window

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