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首页> 外文期刊>The International Journal of Advanced Manufacturing Technology >Composite error prediction of multistage machining processes based on error transfer mechanism
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Composite error prediction of multistage machining processes based on error transfer mechanism

机译:基于误差传递机制的多阶段加工过程复合误差预测

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摘要

Nowadays, modern manufacturing enterprises are paying more and more attention to machining process quality control in order to ensure the product quality. Since machining quality fluctuation is performed as composite error, then error control is becoming the key point in product quality assurance. However, as a prevention method, error prediction is not used effectively. In this paper, a new method of composite error prediction based on error transfer mechanism is proposed to help control the error sources (man, machine, material, method, measurement and environment, namely 5M1E) in multistage machining processes in order to improve the product quality. Firstly, the formation process of quality fluctuation is introduced, and the quality fluctuation network is established. Secondly, after two kinds of error are defined, the single process independent error formation process and the multistage error transfer mechanism are then analyzed deeply. Thirdly, the single process independent error prediction model is established by using the LS-SVM method and error separation principle, according to which, the composite error of multistage processes is predicted based on error transfer function. Finally, an example of the real specific machining process is given to illustrate the effectiveness and correctness of this methodology.
机译:如今,现代制造企业越来越关注机加工过程的质量控制,以确保产品质量。由于加工质量波动是作为复合误差执行的,因此误差控制已成为保证产品质量的关键。然而,作为预防方法,错误预测没有被有效地使用。本文提出了一种基于误差传递机制的复合误差预测的新方法,以帮助控制多阶段加工过程中的误差源(人,机器,材料,方法,测量和环境,即5M1E),以提高产品质量。质量。首先介绍了质量波动的形成过程,建立了质量波动网络。其次,在定义了两种错误之后,对单过程独立的错误形成过程和多级错误传递机制进行了深入分析。第三,利用LS-SVM方法和误差分离原理,建立了与单过程无关的误差预测模型,并根据误差传递函数对多阶段过程的复合误差进行了预测。最后,给出了实际的特定加工过程的示例,以说明该方法的有效性和正确性。

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