Optimal Design for Reverse Engineering of CAD Model Reconstruction and Machining by Taguchi Method

• Main Authors: Yao-Jen Hsu, 許耀仁
• Other Authors: Chia-Lung Chang
• Format: Others
• Language: zh-TW
• Published: 2002
• Online Access: http://ndltd.ncl.edu.tw/handle/67978974026477202461

碩士 === 國立雲林科技大學 === 機械工程系碩士班 === 90 === The object of this thesis is optimal design l for CAD model reconstruction and machining of reverse engineering by Taguchi method . Choosing design parameters for both CAD model and machining , the experimental design of Taguchi method is conducted to optimal parameter design . Also , the orthogonal array , the analysis of variance（ANOVA）, and the response table are utilized to choose optimal levels of design parameters for both CAD model and machining . The percent contribution of each parameter is evaluated to compare the importance of design parameters for both CAD model and machining . Furthermore , the regression analysis is applied to corre- late design parameters into a mathematical equation . The application of Taguchi method and the regression analysis can help the de- signers to minimize the shape error in CAD model reconstruction and machining of reverse engineering using laser scanning , also to obtain the more accurate geometry shape by adjust proper parameter levels . Besides , the equation by the regression analysis can be used to estimate the shape error to shorten the design cycles and im- prove the quality of products .