DocumentCode :
3223583
Title :
Research of Transmission Optimization Design Based on Collaborative Optimization
Author :
Yong-hai Wu ; Qin-man Fan ; Chang-long Lu ; Cheng Xu
Author_Institution :
Dept. of Transp. Eng., Huaiyin Inst. of Technol., Huaian
Volume :
1
fYear :
2008
fDate :
20-22 Oct. 2008
Firstpage :
1253
Lastpage :
1257
Abstract :
In allusion to the transmission of a new type of truck with three shafts four levels, it´s Collaborative Optimization framework including mathematical model is set up. Through taking multidisciplinary optimization software iSIGHT as optimization design platform to integrate disciplinary analysis tool ANSYS and Response Surface Method, Collaborative Optimization of transmission is completed and satisfying optimization scheme is obtained, where Multi-Island Genetic Algorithm is adopted for system-level optimization and Sequential Quadratic Programming is adopted for subsystem-level optimization. The optimization method used in the paper provides important references for optimization design of other complex systems.
Keywords :
genetic algorithms; mechanical engineering computing; power transmission (mechanical); quadratic programming; response surface methodology; road vehicles; shafts; ANSYS; collaborative optimization; iSIGHT; integrate disciplinary analysis tool; multidisciplinary optimization software; multiisland genetic algorithm; response surface method; sequential quadratic programming; shafts; transmission optimization; truck; Algorithm design and analysis; Collaboration; Collaborative software; Collaborative tools; Design optimization; Genetic algorithms; Mathematical model; Response surface methodology; Shafts; Software tools; Collaborative Optimization; Optimization Design; Transmission;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent Computation Technology and Automation (ICICTA), 2008 International Conference on
Conference_Location :
Hunan
Print_ISBN :
978-0-7695-3357-5
Type :
conf
DOI :
10.1109/ICICTA.2008.31
Filename :
4659694
Link To Document :
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