Using Artificial Neural Network and Genetic Algorithm to Optimize the Machining Parameters of End Milling

碩士 === 國立高雄第一科技大學 === 機械與自動化工程所 === 90 === From earlier research work, it was realized that the machined surface of an end-milled component can be determined by the machine setting parameters, such as tool rotational speed, feed rate, depth of cut, etc. Conventionally, the situation would consider...

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Bibliographic Details
Main Authors: Yung-Chang Chen, 陳永昌
Other Authors: Neng-Hsin Chiu
Format: Others
Language:zh-TW
Published: 2002
Online Access:http://ndltd.ncl.edu.tw/handle/79759845147165332259