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Autoresonant Tuning and Control in Ultrasonic Vibration Assisted Drilling Process

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Abstract:

This paper presents an optimal cutting-parameter design of heavy cutting in side milling for SUS304 stainless steel. The orthogonal array with relational analysis is applied to optimize the side milling process with multiple performance characteristics. A grey relational grade obtained from the grey relational analysis is used as a performance index to determine the optimal cutting parameters. The selected cutting parameters are cutting speed, feed per tooth, axial depth of cut, and radial depth of cut, while the considered performance characteristics are tool life and metal removal rate. Experimental results have shown that cutting performance in the side milling process for heavy cutting can be significantly improved through this approach.

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Periodical:

Materials Science Forum (Volumes 505-507)

Pages:

823-828

DOI:

https://doi.org/10.4028/www.scientific.net/MSF.505-507.823

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Online since:

January 2006

Authors:

Yu Chieh Chen, Yunn Shiuan Liao, J.D. Fan

Keywords:

Auto-Tuning, Resonance, Ultrasonic Vibration Assisted Drilling, Voltage Controller

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© 2006 Trans Tech Publications Ltd. All Rights Reserved

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