Notice of Retraction Study on real-time reliability evaluation and prediction of machining center based on expert modeler

Chen, Fei; Jiao, Dameng; Jun-zhao, Yang; Xu, Binbin; Wang, Yinkai; Chen, Chao

doi:10.1109/qr2mse.2013.6625914

Cited by 1 publication

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“…15 Based on the principle of error minimization and selecting the optimal modeling parameters, Fei evaluated and predicted the reliability of machine tools. 16 Yang proposed a mathematical model for the transmission error reliability of gear mechanism and conducted an experimental verification using a heavy-duty lathe. 17…”

Section: Introductionmentioning

confidence: 99%

Sensitivity analysis of machining accuracy reliability considering partial correlation of geometric errors for Horizontal Machining Center

Niu

Cheng

Chang

et al. 2020

Proceedings of the Institution of Mechanical Engineers, Part B:

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With the increase in working time, the geometric errors of a Horizontal Machining Center (HMC) will also increase under load, temperature, and wear conditions, decreasing the machining accuracy. As HMC is a high-accuracy machine tool with a high nonlinear system, there is a complex coupling relationship between errors. Therefore, how to thoroughly evaluate the ability of a machine tool to maintain its machining accuracy with the extension of working time is an important way for HMC to control its machining quality. In this paper, this ability is defined as machining accuracy reliability, that is, under specified conditions, the machine tool can work normally to achieve the corresponding machining accuracy ability. To solve this problem, a new analysis method is proposed for evaluating machining accuracy reliability based on the nonlinear correlation between errors. The nonlinear relationship between machining accuracy and errors was determined using multibody modeling technology. The effect of interaction between errors on machining accuracy reliability was analyzed by introducing and calculating partial correlation coefficients. Finally, the method was validated using a four-axis machine tool.

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Section: Introductionmentioning

confidence: 99%