Milling parameter optimization through a discrete variable transformation |
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Authors: | TIEN-CHIEN CHANG RICHARD A WYSK ROBERT P DAVIS BYOUNG CHOI |
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Affiliation: | College of Engineering, Department of Industrial Engineering and Operations Research , Virginia Polytechnic Institute and State University , Blacksburg, Virginia, 24061, U.S.A |
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Abstract: | Although milling is one of the most common chip metal removal processes, little has been done to aid in identifying the optimum operational conditions for milling processes. In this paper, a mathematical model for milling operations is developed and the five primary control variables identified. The model is then decomposed and an efficient optimization procedure developed for control variable identification. |
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