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Title:Genetic programming approach for the material flow curve determination of copper alloy - CuCrZr
Authors:ID Gusel, Leo (Author)
ID Brezočnik, Miran (Author)
ID Rudolf, Rebeka (Author)
ID Anžel, Ivan (Author)
ID Lazarević, Z. (Author)
ID Romčević, Nebojša (Author)
Files:URL http://oam-rc.inoe.ro/index.php?option=magazine&op=view&idu=998&catid=48
 
Language:English
Work type:Unknown
Typology:1.01 - Original Scientific Article
Organization:FS - Faculty of Mechanical Engineering
Abstract:For the control of the forming process it is necessary to know as precisely as possible the flow curve of the formed material. The paper presents the determination of the equation for the flow curve of cooper alloy (CuCrZr) with artificial intelligence approach. The genetic programming method (GP) was used. It is an evolutionary optimization technique based on the Darwinist principles of the evolution of species and the survival of the fittest organisms. The main characteristic of GP is its non- deterministic way of computing. It is probably the most general approach out of evolutionary computation methods. The comparison between the experimental results, analytical solution and the solution obtained genetically clearly shows that the genetic programming method is a very promising approach.
Keywords:forming, flow curve, copper alloys, genetic programming
Year of publishing:2010
PID:20.500.12556/DKUM-27329 New window
UDC:621.74:519.61/.64
ISSN on article:1842-6573
COBISS.SI-ID:13956118 New window
NUK URN:URN:SI:UM:DK:8PDST64F
Publication date in DKUM:01.06.2012
Views:1859
Downloads:38
Metadata:XML DC-XML DC-RDF
Categories:Misc.
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Record is a part of a journal

Title:Optoelectronics and advanced materials rapid communications
Shortened title:Optoelectron. Adv. Mater. Rapid Commun.
Publisher:INOE
ISSN:1842-6573
COBISS.SI-ID:13954070 New window

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