DocumentCode
1965139
Title
Arificial intelligence in machine tools design based on genetic algorithms application
Author
Belgiu, G. ; Nanu, S. ; Silea, I.
Author_Institution
Manuf. Technol. Dept., Politeh. Univ. of Timisoara, Timisoara, Romania
fYear
2010
fDate
15-17 July 2010
Firstpage
57
Lastpage
60
Abstract
The design of machine tools activity is an area with hundreds of years old. With the development of CAD/CAE systems, the engineers´ work was greatly simplified. However, CAD/CAE systems are unable to overcome a critical threshold, thereby leaving the designer with many problems to be solved. Artificial intelligence field is also very exciting to develop this area. This paper presents a first attempt to introduce genetic algorithms in the design of machine tools.
Keywords
CAD; artificial intelligence; computer aided engineering; genetic algorithms; machine tools; CAD/CAE systems; arificial intelligence; genetic algorithms application; machine tools design; Artificial intelligence; Kinematics; Machine tools; Manufacturing; Optimization; Software; Vibrations; CAD/CAE systems; artificial intelligence; genetic algorithms; machine tool design;
fLanguage
English
Publisher
ieee
Conference_Titel
Soft Computing Applications (SOFA), 2010 4th International Workshop on
Conference_Location
Arad
Print_ISBN
978-1-4244-7985-6
Type
conf
DOI
10.1109/SOFA.2010.5565623
Filename
5565623
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