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Title:Modeling of impact toughness of cold formed material by genetic programming
Authors:ID Gusel, Leo (Author)
ID Brezočnik, Miran (Author)
Files:URL http://dx.doi.org/10.1016/j.commatsci.2005.11.007
Work type:Unknown ()
Typology:1.01 - Original Scientific Article
Organization:FS - Faculty of Mechanical Engineering
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:metal forming, genetic programming, evolutionary computing, impact toughness, copper alloy, modelling
Year of publishing:2006
PID:20.500.12556/DKUM-25665 New window
ISSN on article:0927-0256
COBISS.SI-ID:10119190 New window
Publication date in DKUM:30.05.2012
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Record is a part of a journal

Title:Computational materials science
Shortened title:Comput. mater. sci.
COBISS.SI-ID:15330053 New window

Secondary language

Keywords:preoblikovanje kovin, genetsko programiranje, modeliranje, udarna trdnost, bakrove zlitine


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