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Title page for etd-0217109-100021


URN etd-0217109-100021 Statistics This thesis had been viewed 2241 times. Download 4 times.
Author Chung-Hsien Hsing
Author's Email Address No Public.
Department Mechanical Engineering
Year 2008 Semester 2
Degree Master Type of Document Master's Thesis
Language zh-TW.Big5 Chinese Page Count 88
Title Analysis And Optimum Design Of Connector Pin Of CPU Socket
Keyword
  • Design optimization
  • Artificial Neural Network
  • Genetic Algorithms
  • CPU socket pin
  • CPU socket pin
  • Genetic Algorithms
  • Artificial Neural Network
  • Design optimization
  • Abstract The CPU socket is a small and precision component. There are high requirements of normal contact force and permanent deformation in design specification. Improper design of geometry of socket pin will create large permanent deformation or unsuitable normal force and it will not fit the design requirements. Neural network and genetic algorithms were integrated for geometry optimization of socket pin. Design an experiment for geometry of socket pin. The commercial program, ABAQUS, is used for analysis. A back-propagation neural network(BP) is used to build two predicting models for normal contact force and permanent deformation of CPU Socket pin, respectively. Then the models are applied in genetic algorithms for searching optimum geometry for socket pin with minimum permanent deformation and appropriate normal contact force. The framework of this study can help the designer find the optimum geometry of socket pin fitting design requirements accurately and quickly. Beside it also can increase the productivity and reduce unnecessary errors and cost effectively in product development.
    Advisor Committee
  • Chun-Yin Wu - advisor
  • GUAN-CHUN LUH - co-chair
  • none - co-chair
  • Files indicate not accessible
    Date of Defense 2009-01-20 Date of Submission 2009-02-17


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