Precision Lifetime Analysis and Grey Prediction Based on Observation Data for Motorized Spindle

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Abstract:

The stoppage and lifetime of high speed motorized spindle was related to many influence. A total of 31 statistical lifetime data of imported motorized spindles in cylinder head production line were presented, according to these data, and the average cut operation lifetime could reach 8277 hours, and the 8000 hours of average design precision lifetime was validated. It was found that the main influencing factors of motorized spindle lifetime in initial stage were the original manufacturing defects, also in precision lifetime stage and fatigue lifetime stage, the main influencing factors were the service conditions which exceeded design allowable conditions and own unique structural characteristics of motorized spindle respectively. according to 7 data and GM(1,1) grey theory, the precision lifetime prediction model of motorized spindle was built and the. model error was tested. The reliability of prediction model is validated by 2 inchoate reality observation data which relative differences were 0.57% and 2.03% respectively.

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81-87

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September 2013

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© 2013 Trans Tech Publications Ltd. All Rights Reserved

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[1] E. Abele, Y. Altintas, C. Brecher. Machine tool spindle units. CIRP Annals - Manufacturing Technology, 59 (2010), P. 781-802.

DOI: 10.1016/j.cirp.2010.05.002

Google Scholar

[2] B. T. Liu, L. Y. Li, Y. M. Qi, etc. Structural design and process of key component and part of high frequency motorized spindle. Small & Special Electrical Machines, 4 (1997), pp.34-36.

Google Scholar

[3] H. Z. Li, J. Y. Zhou, Y. Liu, etc. Repair of Sweden high speed spindle. Plant Maintenance Engineering, 6 (2004), p.36.

Google Scholar

[4] H. Xu. Research on on-line temperature monitoring system for motorized spindle. School of Mechanical & Electric Engineering, Nanchang University Nanchang, (2008).

Google Scholar

[5] M. L. Wang, C.W. Zhang, Y. B. Ou. Development of the integrative inspective system for high speed electrical spindle. Manufacture Information Engineering of China, Vol. 36-19 (2007), pp.26-29.

Google Scholar

[6] J. S. Chen, K. w. Chen. Bearing load analysis and control of a motorized high speed spindle. International Journal of Machine Tools & Manufacture, 45 (2005), pp.1487-1493.

DOI: 10.1016/j.ijmachtools.2005.01.024

Google Scholar

[7] J. L. Deng. Basic methods of grey system. Huazhong University of Science & Technology Press, Wuhan, (1987), pp.43-139.

Google Scholar

[8] S. F. Liu, J. L. Deng. The range suitable for GM(1, 1). Systems Engineering - Theory & Practice, 5 (2000), pp.121-124.

Google Scholar

[9] Z. J. Chen. Research on accumulation generation in grey system. Systems Engineering - Theory & Practice. 5 (1989), pp.10-15.

Google Scholar