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Proceedings Paper

Cutting force regression modeling approach for turning Hastelloy X alloy by genetic algorithms
Author(s): Chao Yu; Jianye Guo; Yanli Zhang; Jingkui Li
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Paper Abstract

According to tradition empirical formula form, the cutting force regression model for turning Hastelloy X alloy is assigned for the exponential form. Turning experiments were carried out based on the experimental plan designed on the principle of the quadratic rotary combination design technique. By identifying regression coefficient using genetic algorithm toolbox in MALAB7.1, cutting force regression models were established. The rule that the prediction models reveal is identical with both visual analyses result of experiment data and tradition basic cutting theory, in addition the residual error is smaller, so the regression models are fitted very well.

Paper Details

Date Published: 14 January 2012
PDF: 5 pages
Proc. SPIE 8349, Fourth International Conference on Machine Vision (ICMV 2011): Machine Vision, Image Processing, and Pattern Analysis, 83492V (14 January 2012); doi: 10.1117/12.920454
Show Author Affiliations
Chao Yu, Shenyang Aerospace Univ. (China)
Jianye Guo, Shenyang Aerospace Univ. (China)
Yanli Zhang, Shenyang Aerospace Univ. (China)
Jingkui Li, Shenyang Aerospace Univ. (China)


Published in SPIE Proceedings Vol. 8349:
Fourth International Conference on Machine Vision (ICMV 2011): Machine Vision, Image Processing, and Pattern Analysis
Zhu Zeng; Yuting Li, Editor(s)

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