Effect of Optimizing PID Parameters and Spindle Speeds on Processing Performance of KDP Micro-Defect Mitigation Machine Tool

Ming Jun Chen; Wen Jing Ma; Yong Xiao

doi:10.4028/www.scientific.net/MSF.836-837.290

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HomeMaterials Science ForumMaterials Science Forum Vols. 836-837Effect of Optimizing PID Parameters and Spindle...

Effect of Optimizing PID Parameters and Spindle Speeds on Processing Performance of KDP Micro-Defect Mitigation Machine Tool

Abstract:

PID parameters of machine tool for micro-defect mitigation of KDP crystal had been optimized, after which the velocity fluctuation frequency and amplitude variation of motion axis under different spindle speeds were studied. It is evident that the stability and following errors of the system run better under the velocity&acceleration feed forward PID control algorithm and Notch filters. The velocity fluctuation frequency of motion axis varies with spindle speeds significantly when the tool system is stable, while the fluctuation amplitude variation is slightly changed. To be conclude, the optimal working spindle speed is verified to be 4.78×104 rpm based on comparative experiments, at which damage pits can be mitigated by micro-machining successfully with roughness value of 34.4nm.

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Periodical:

Materials Science Forum (Volumes 836-837)

Pages:

290-295

DOI:

https://doi.org/10.4028/www.scientific.net/MSF.836-837.290

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Online since:

January 2016

Authors:

Ming Jun Chen, Wen Jing Ma*, Yong Xiao

Keywords:

KDP Crystal, Machine Tool, PID, Processing Performance, Spindle Speed

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References

[1] Shenglai Wang, JianXu Ding. Overview of KDP crystal[J]. Synthetic Crystals, 2012, S1: pp.179-183.

Google Scholar

[2] Burnham, A.K., et. al., Improving 351 nm damage performance of large-aperture fused silica and DKDP optics[J], Laser-Induced Damage in Optical Materials, 2001, SPIE Vol. 4679, pp.173-185 (2002).

DOI: 10.1117/12.461712

Google Scholar

[3] Geraghty. P, Carr. W, Draggoo. V, et. al. Surface damage growth mitigation on KDP/DKDP optics using single-crystal diamond micro-machining ball end mill contouring[J]. Laser-Induced Damage in Optical Materials. 2007, 6403: 64030Q.

DOI: 10.1117/12.696076

Google Scholar

[4] Francois GUILLET, et. al. Preliminary results on mitigation of KDP surface damage using the ball dimpling method[J]. Laser-Induced Damage in Optical Materials. 2007, SPIE 6720: 672008(2007).

DOI: 10.1117/12.752822

Google Scholar

[5] Garitaonandia. I, Albizuri. J, et. al. Redesign of an active system of vibration control in a centerless grinding machine: Numerical simulation and practical implementation[J]. Precision Engineering, v 37, n 3, pp.562-571, (2013).

DOI: 10.1016/j.precisioneng.2013.01.001

Google Scholar

[6] Kim. Chang-Ju, Oh. Jeong-Seok, Park. Chun-Hong, Modelling vibration transmission in the mechanical and control system of a precision machine[J]. CIRP Annals - Manufacturing Technology, v 63, n 1, pp.349-352, (2014).

DOI: 10.1016/j.cirp.2014.03.133

Google Scholar

[7] Yuxian. Gai, Huiying. Liu, Shen. Dong, Vibration control system for a sub-micro ultra-precision turning machine. Proceedings of the International Conference on Integration and Commercialization of Micro and Nanosystems 2007, v B, pp.1149-1156, (2007).

DOI: 10.1115/mnc2007-21040

Google Scholar

[8] Li Guo-Ping, Lin Jun-Huan, Han Tong-Peng, Pan Xiao-Bin. Research on turning vibration control based on IMMUNE PID controller[J]. Binggong Xuebao/Acta Armamentarii, v 31, n 5, pp.580-585, May 2010. ）.

Google Scholar