Leo Gusel (Author), Miran Brezočnik (Author)

Abstract

In the paper, an approach completely different from the conventional methods for determination of accurate models for the change of properties of cold formed material, is presented. This approach is genetic programming (GP) method which is based on imitation of natural evolution of living organisms. The main characteristic of GP is its non-deterministic way of computing. No assumptions about the form and size of expressions were made in advance, but they were left to the self organization and intelligence of evolutionary process. First, copper alloy rods were cold drawn under different conditions and then impact toughness of cold drawn specimens was determined by Charpy tests. The values of independent variables (effective strain, coefficient of friction) influence the value of the dependent variable, impact toughness. On the basis of training data, different prediction models for impact toughness were developed by GP. Only the best models, gained by genetic programming were presented in the paper. Accuracy of the best models was proved with the testing data set. The comparison between deviation of genetic model results and regression model results concerning the experimental results has showed that genetic models are more precise and more varied then regression models.

Keywords

preoblikovanje kovin;genetsko programiranje;modeliranje;udarna trdnost;bakrove zlitine;metal forming;genetic programming;evolutionary computing;impact toughness;copper alloy;modelling;

Data

Language: English
Year of publishing:
Typology: 1.01 - Original Scientific Article
Organization: UM FS - Faculty of Mechanical Engineering
UDC: 621.7.016.3:004.89
COBISS: 10119190 Link will open in a new window
ISSN: 0927-0256
Views: 1838
Downloads: 94
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Other data

Secondary language: English
Secondary keywords: preoblikovanje kovin;genetsko programiranje;modeliranje;udarna trdnost;bakrove zlitine;
URN: URN:SI:UM:
Pages: str. 476-482
Volume: ǂVol. ǂ37
Issue: ǂiss. ǂ4
Chronology: Oct. 2006
ID: 8717304