DocumentCode :
2224470
Title :
Higher-level innovization: A case study from Friction Stir Welding process optimization
Author :
Bandaru, Sunith ; Tutum, Cem Celal ; Deb, Kalyanmoy ; Hattel, Jesper Henri
Author_Institution :
Kanpur Genetic Algorithms Lab., Indian Inst. of Technol. Kanpur, Kanpur, India
fYear :
2011
fDate :
5-8 June 2011
Firstpage :
2782
Lastpage :
2789
Abstract :
The task of finding crucial design interdependencies in the form of mathematical relationships (empirical or otherwise) in an engineering design problem using the Pareto optimal front is referred to as innovization. Past studies on the subject have limited themselves to a single front. In this paper we introduce the higher-level innovization task through an application of a manufacturing process simulation for the Friction Stir Welding (FSW) process where commonalities among two different Pareto-optimal fronts are analyzed. Multiple design rules are simultaneously deciphered from each front separately and compared. Important design aspects of the FSW problem are revealed in the process. The overall study aims at showing how some design principles can considerably ease the task of optimizing future enhancements to the design.
Keywords :
Pareto optimisation; design engineering; friction welding; Pareto optimal front; engineering design problem; friction stir welding process optimization; higher level innovization; multiple design rules; Algorithm design and analysis; Heating; Materials; Optimization; Probes; Shoulder; Welding;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Evolutionary Computation (CEC), 2011 IEEE Congress on
Conference_Location :
New Orleans, LA
ISSN :
Pending
Print_ISBN :
978-1-4244-7834-7
Type :
conf
DOI :
10.1109/CEC.2011.5949967
Filename :
5949967
Link To Document :
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