Title page for etd-0810109-120616


URN etd-0810109-120616 Statistics This thesis had been viewed 732 times. Download 11 times.
Author Sun-Po Yu
Author's Email Address No Public.
Department Institute of Mechatronic Engineering
Year 2008 Semester 2
Degree Master Type of Document Master's Thesis
Language zh-TW.Big5 Chinese Page Count 77
Title Structural Optimization of Contact Springs ofElectrical Connectors
Keyword
  • Electrical connector
  • Finite element analysis
  • Contact analysis
  • Contact analysis
  • Finite element analysis
  • Electrical connector
  • Abstract Abstract
    This research incorporated the finite element method and response surface
    methodology to investigate the optimum shape design for the contact springs of
    electrical connectors using multiple geometrical control points as the design
    variables. Finite element contact analysis employs a nonpenetration condition
    between two contact surfaces to avoid penetration. This thesis studied the
    structural optimization problem for contact springs and sought to minimize the
    maximum von Mises stress occurred when the contact springs were engaged
    with contact plates. A two-staged design process was utilized to conduct the
    research, which included experimental design using the faced center central
    composite design, non-linear contact finite element analysis on every design
    point, regression analysis to response surface model, and optimization on the
    approximated model using the quadratic programming technique. Meanwhile,
    during the optimization procedure, design space reduction scheme was adopted
    to improve the accuracy. Finally, simulation of a contact plate approaching and
    moved away the contact spring was realized to examine the relation between the
    normal contact force in the contact spring and the traveling distance of the rigid contact plate. The results have shown that a pressed down distance of 1.5 mm was enough to yield a permanent deformation on the contact spring.
    Advisor Committee
  • Kun-Nan Chen - advisor
  • Files indicate in-campus access at 5 years and off-campus access at 5 years
    Date of Defense 2009-07-29 Date of Submission 2009-08-11

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