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URN etd-0809106-172041 Statistics This thesis had been viewed 4377 times. Download 3473 times. Author Hung-Ming Chen Author's Email Address firstname.lastname@example.org Department Mechanical Engineering Year 2005 Semester 2 Degree Master Type of Document Master's Thesis Language Chinese&English Page Count 77 Title Shape Optimization of rubber dome of key shell Fragment Using Polynomial Network and Genetic Algorithm Keyword design Genetic algorithm Polynomial Network Polynomial Network Genetic algorithm design Abstract Silicon rubber is an elastic material. The key rubber shell fragment is made of this kind of material. Due to this product have relation between large deformation and non-linear . It will reshape massively, and non-linearly and eventually have behavior of contacting object while receiving pressure. That is very important for analysis in product design domain.
This research incorporates analysis three analysis method, geometrical model, finite element and optimal design , and establishes a procedure of CAE for optimal shape design. By using analytic functions of ANASYS and integrating Polynomial Network Genetic algorithm ,we can determine the optimal dimension of rubber dome with minimum von mises stress.
From the research , we can find out the optimal shape-design with minimum von mises stress , by using integrating Polynomial Network and Genetic algorithm . Through the above simulation, we can shorten development cycle time, speed up time to market and reduce failure cost.
Advisor Committee Chun-Yin Wu - advisor
Guan-Chum Lul - co-chair
Y-K Chang - co-chair
Files Date of Defense 2006-07-06 Date of Submission 2006-08-09