The Analysis on Dynamic Characteristics and the Structural Optimization of HRG Polishing Machine Tool

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Abstract:

The dynamic characteristics of machine tool directly affect machining accuracy of the final parts. Taking the self-developed HRG ultra-precision polishing CNC machine tool as the research object, the simplified finite element model is established with the finite element analysis software to do the dynamic analysis and the natural frequency is detected as the index of the dynamic performances. Based on the comparative analysis of the natural frequency and vibration modes, the gantry and the supporting frame are recognized as structural weaknesses of the machine tool, and then the modal test is done to verify simulation results. Eventually the structural weaknesses are optimized effectively. The 1st order nature frequency of the optimized gantry and the optimized supporting frame is increased 75.5% and 80.8% respectively so that they have better dynamic performances, resulting in offering higher workpiece quality and process stability.

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54-58

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October 2013

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© 2014 Trans Tech Publications Ltd. All Rights Reserved

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[1] Hao Yang, Wu Yang, Daming Wang: Computing, Control and Industrial Engineering, 2011 IEEE 2nd International Conference Vol. 1 (2011), p.223.

Google Scholar

[2] Daisuke Kono, Thomas Lorenzer, Sascha Weikert etal: Precision Engineering Vol. 34 (2010), p.399.

Google Scholar

[3] Kang Yang and Tao Han: Journal of Jiamusi University (Natural Science) Vol. 23 (1) (2005), p.94.

Google Scholar

[4] Yazhou Sun, Rui Wang, Kai Cheng, etal: Machinery Design & Manufacture (1) (2005), p.94.

Google Scholar

[5] Hyung Wook Park, Young Bin Park, Steven Y. Liang: Advanced Manufacture Technology Vol. 56 (2011), p.1.

Google Scholar

[6] Fang Kang and Jinwei Fan: Machinery Design & Manufacture (7) (2008), p.181.

Google Scholar

[7] Yaoman Zhang, Chunshi Liu, Zhikun Xie and Yongxian Liu: Journal of Northeastern University (Natural Science) Vol. 28 (11) (2007), p.1628.

Google Scholar

[8] Xiaopeng Li and Zhijie Zhao: Chinese Control and Decision Conference (2011), p.3998.

Google Scholar

[9] Hesheng Zuo and Yuying Peng: Modal Analysis on Vibration Experiment (China Railway Publishing House, Beijing 1995).

Google Scholar