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Analysis on dynamic precision reliability of high-speed precision press based on Monte Carlo method

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Abstract

The high-speed precision press is used widely in modern industrial production, particularly in the production of precision parts. The dynamic repeated precision of bottom dead center (BDC) measurement not only affects the quality of stamped parts, but also determines the service life of the pattern. In this paper, the influence of machining error, elastic deformation and joint clearance on the reliable precision reliability of a slider was analyzed. A method of analyzing instantaneous dynamic BDC press precision is presented. Finally, the reliability of the press is evaluated using time-varying reliability in the nominal force travel range. Taking the JF75G-300 high-speed press as an example, the motion precision reliability model of the crank slider mechanism is developed; the BDC position of the press under different speeds is simulated using the Monte Carlo simulation method, and experiments are conducted on the BDC position of the punch with no load. Experimental results and simulated results are similar, demonstrating feasibility of the proposed method.

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Acknowledgements

The research is funded partially by Postdoctoral Science Foundation of China (2016M601800), Science and Technology Foundation of Outstanding Young Talents of Nanjing Agricultural University (YQ201605), the Fundamental Research Funds for the Central Universities fund (KYZ201760) and the six major talent summit in Jiangsu Province (2015-zbzz-011).

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Authors and Affiliations

  1. College of Engineering, Nanjing Agricultural University, 40# Dianjiangtai Road, Pukou District, Nanjing, 210031, People’s Republic of China

    Maohua Xiao, Guosheng Geng, Guohong Li, Hao Li & Runnan Ma

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  1. Maohua Xiao
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  2. Guosheng Geng
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  3. Guohong Li
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  4. Hao Li
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Correspondence to Maohua Xiao.

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Xiao, M., Geng, G., Li, G. et al. Analysis on dynamic precision reliability of high-speed precision press based on Monte Carlo method. Nonlinear Dyn 90, 2979–2988 (2017). https://doi.org/10.1007/s11071-017-3857-7

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