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Shock and Vibration
Volume 20 (2013), Issue 1, Pages 69-78
http://dx.doi.org/10.3233/SAV-2012-0728

Dynamic Parameter Identification of Tool-Spindle Interface Based on RCSA and Particle Swarm Optimization

Erhua Wang,1,3 Bo Wu,2 Youmin Hu,1 Shuzi Yang,1 and Yao Cheng1

1School of Mechanical Science and Engineering, Huazhong University of Science and Technology, Wuhan, Hubei, China
2State Key Laboratory for Digital Manufacturing Equipment and Technology, Huazhong University of Science and Technology, Wuhan, Hubei, China
3Mechanics and Electricity Department, Nanyang Institute of Technology, Nanyang, Henan, China

Received 7 February 2012; Revised 17 May 2012

Copyright © 2013 Hindawi Publishing Corporation. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Citations to this Article [5 citations]

The following is the list of published articles that have cited the current article.

  • Wu Ren, Yunxin Wu, and Zhaowei Zhang, “A dynamic model of mobile concrete pump boom based on discrete time transfer matrix method,” Frontiers of Mechanical Engineering, vol. 8, no. 4, pp. 360–366, 2013. View at Publisher · View at Google Scholar
  • Teng Hu, Guofu Yin, and Mingnan Sun, “Model Based Research of Dynamic Performance of Shaft-Bearing System in High-Speed Field,” Shock and Vibration, vol. 2014, pp. 1–12, 2014. View at Publisher · View at Google Scholar
  • Xiaoru Li, Jianmin Zhu, Tongchao Zhang, and Jian Wang, “Frequency response prediction of deep hole internal grinder spindle endpoint based on receptance coupling substructure analysis,” Zhongguo Jixie Gongcheng/China Mechanical Engineering, vol. 26, no. 19, pp. 2652–2661, 2015. View at Publisher · View at Google Scholar
  • Dandan He, Quanlong Zhao, Jianmin Zhu, and Fengqing Tian, “A new prediction method of tool point frequency response function for milling cutters,” Zhongguo Jixie Gongcheng/China Mechanical Engineering, vol. 27, no. 20, pp. 2765–2772, 2016. View at Publisher · View at Google Scholar
  • Tongchao Zhang, Xiaoru Li, Jianmin Zhu, and Jian Wang, “Frequency response prediction of milling tool tip point based on RCSA and GA,” Jisuanji Jicheng Zhizao Xitong/Computer Integrated Manufacturing Systems, CIMS, vol. 22, no. 1, pp. 272–280, 2016. View at Publisher · View at Google Scholar