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Title page for etd-0825105-073943


URN etd-0825105-073943 Statistics This thesis had been viewed 2310 times. Download 10 times.
Author Cock Chang
Author's Email Address upset909@yahoo.com.tw
Department Mechanical Engineering
Year 2004 Semester 2
Degree Master Type of Document Master's Thesis
Language zh-TW.Big5 Chinese Page Count 90
Title The Optimization Surface Quality Design for Gun Drilling Operations
Keyword
  • surface roughness
  • simulated annealing algorithm
  • gun drilling
  • Abductive Networks
  • Abductive Networks
  • gun drilling
  • simulated annealing algorithm
  • surface roughness
  • Abstract  In this research the main goal is to discuss the optimum machining parameters and tool geometry for the hole wall quality in gun drilling and the final purpose is to obtain the better and distribute-uniformly roughness of the hole wall.
     The Taguchi’s orthogonal arrays is first used to plan the experiments in this research; the considered factors included the spindle speed, feed rate and the out point cutting angle, inner point cutting angle, position of the point, outer rake angle and inner rake angle of the tool geometry. The experiments will be done by gun-drill machine and the roughness in every interval of hole wall will be measured. The distributing value of surface roughness in every deep hole is expressed as the average and the standard deviation from the statistical viewpoint and the Abductive Networks is used to establish the models of averages and the standard deviations between the machining parameters and the tool geometry. At least the simulated annealing algorithm is used to optimize the machining parameters and the tool geometry so that the optimization of surface roughness of the hole wall in the whole deep hole can be achieved. The experimental results show that the combination of the optimum parameters for gun drilling can obtain the better and more uniform surface quality of the hole wall.
    Advisor Committee
  • Ching-Chih Tai - advisor
  • Jui-Cheng Lin - co-chair
  • Shih-Bin Wang - co-chair
  • Files indicate in-campus access only
    Date of Defense 2005-07-30 Date of Submission 2005-08-25


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