Title page for etd-0630106-174450


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URN etd-0630106-174450
Author Hsueh-o Wang
Author's Email Address No Public.
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Department Mechanical and Electro-Mechanical Engineering
Year 2005
Semester 2
Degree Master
Type of Document
Language zh-TW.Big5 Chinese
Title Planning for Curved-Surface Milling and
Surface Profile Measurement by Taguchi Method
Date of Defense 2006-06-27
Page Count 117
Keyword
  • Curved-Surface Milling
  • Taguchi Method
  • Surface Profile Measurement
  • Abstract ABSTRACT
       This research uses Taguchi Method, combined with Computer Aided Design and Manufacturing, processing the work piece into the saddle type. Next, diverse sampling methods are applied to measure the profile of surface with Coordinate Measuring Machine, with an aim to analyzing the main factors that influence cutting and seeking the last conditions for cutting out the curved surface; in addition, I will probe into the contribution rate of each factor which influences the precision during the process of measurement.
       The following results of this research are expected to be offered to the circles of vocational education as a basis of processing and measuring instruction. In this way, it will not take too much time to try and error and therefore, the practice course can be more efficient.
    1. With reference to the documents that are focused on the factors affecting the cutting, this thesis, by means of Taguchi Method, shows that during the process of cutting saddle-type curved surface, the rotating speed of the axle is the most influential, whose contribution rate is 59.38%.
    2. Since most documents are on circles, balls or cone objects, this thesis will aim at the measurement of saddle-type curved surface, with an intention to further the measuring technique.
    3. It is found that as to the saddle-type curved surface, random sampling can get the profile of surface with minimal errors, and has no such trouble as using HSS or LHS, which can reduce time and cost.
    4. In the experiment of Taguchi Method, according to analysis of variance, the influence of the sampling area is the greatest while the choice of sampling method only contributes to 3.46%.
    Advisory Committee
  • Ying-Chien Tsai - chair
  • Der-Min Tasy - co-chair
  • Innchyn Her - advisor
  • Files
  • etd-0630106-174450.pdf
  • indicate in-campus access in a year and off_campus not accessible
    Date of Submission 2006-06-30

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