Machining accuracy reliability analysis of multi-axis machine tool based on Monte Carlo simulation-Reference-Cited by-同舟云学术

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Machining accuracy reliability analysis of multi-axis machine tool based on Monte Carlo simulation

Published:2015-06-06 Issue:1 Volume:29 Page:191-209
ISSN:0956-5515
Container-title:Journal of Intelligent Manufacturing
language:en
Short-container-title:J Intell Manuf

Author:

Cheng Qiang,Zhao Hongwei,Zhao Yongsheng^ORCID,Sun Bingwei,Gu Peihua

Funder

National High Technology Research and Development Program 863

Leading Talent Project of Guangdong Province

Beijing Nova Program

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence,Industrial and Manufacturing Engineering,Software

Link

http://link.springer.com/content/pdf/10.1007/s10845-015-1101-1.pdf

Reference66 articles.

1. Ahn, K. G., & Cho, D. W. (2000). An analysis of the volumetric error uncertainty of a three-axis machine tool by beta distribution. International Journal of Machine Tools and Manufacture, 40(15), 2235–2248. doi: 10.1016/S0890-6955(00)00048-1 .

2. Andolfatto, L., Mayer, J., & Lavernhe, S. (2011). Adaptive Monte Carlo applied to uncertainty estimation in five axis machine tool link errors identification with thermal disturbance. International Journal of Machine Tools and Manufacture, 51(7), 618–627.

3. Avontuur, G. C., & van der Werff, K. (2002). Systems reliability analysis of mechanical and hydraulic drive systems. Reliability Engineering & System Safety, 77(2), 121–130.

4. Benkedjouh, T., Medjaher, K., Zerhouni, N., & Rechak, S. (2015). Health assessment and life prediction of cutting tools based on support vector regression. Journal of Intelligent Manufacturing, 26(2), 213–223. doi: 10.1007/s10845-013-0774-6 .

5. Bohez, E., Makhanov, S. S., & Sonthipermpoon, K. (2000). Adaptive nonlinear tool path optimization for five-axis machining. International Journal of Production Research, 38(17), 4329–4343.

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