首頁 > 網路資源 > 大同大學數位論文系統

Title page for etd-0809106-172041


URN etd-0809106-172041 Statistics This thesis had been viewed 4320 times. Download 3473 times.
Author Hung-Ming Chen
Author's Email Address rogerhm.chen@msa.hinet.net
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 indicate access worldwide
    Date of Defense 2006-07-06 Date of Submission 2006-08-09


    Browse | Search All Available ETDs