Analysis and prediction on the cutting process of constrained damping boring bars based on PSO-BP neural network model-Reference-Cited by-同舟云学术

Analysis and prediction on the cutting process of constrained damping boring bars based on PSO-BP neural network model

Published:2017-03-31 Issue:2 Volume:19 Page:878-893
ISSN:1392-8716
Container-title:Journal of Vibroengineering
language:
Short-container-title:J VIBROENG

Author:

Chen Xianming,Wang Tieliu,Ding Mingming,Wang Jing,Chen Jianqing,Yan Jun Xia

Publisher

JVE International Ltd.

Subject

Mechanical Engineering,General Materials Science

Link

http://www.jvejournals.com/Vibro/fulltextpdf/JVE-18068.pdf

Reference26 articles.

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2. Wang M., Ou B. X., Zan T., et al. Summary of boring bar chatter control technology. Journal of Beijing University of Technology, Vol. 37, Issue 8, 2011, p. 1143-1147.

3. Matsubara A., Maeda M., Yamaji I. Vibration suppression of boring bar by piezoelectric actuators and LR circuit. CIRP Annals-Manufacturing Technology, Vol. 63, Issue 1, 2014, p. 373-376.

4. Kong T. R., Mei D. Q., Chen Z. C. Research on mechanism of cutting chatter suppression based on magnetorheological intelligent boring bar. Journal of Zhejiang University (Engineering Science), Vol. 42, Issue 6, 2008, p. 1005-1009.

5. Akesson H., Smirnova T., Claesson I., et al. On the development of a simple and robust active control system for boring bar vibration in industry. International Journal of Acoustics and Vibration, Vol. 12, Issue 4, 2007, p. 139-152.

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