Step-dependent machining uncertainty modeling for the process route and application in the machining of the ring-gear

IF 5.4 2区 工程技术 Q2 ENGINEERING, MANUFACTURING
Yanan Zhao, Shaoming Yao
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引用次数: 0

Abstract

This paper proposes a step-dependent machining uncertainty modeling method for the process routes. With the between-step interaction, the process route integrity is accurately interpreted and all error sources in the production environment are involved in, including the workpiece positioning surface, machine positioning surface, cutter kinetics, workpiece kinetics, clamping force, cutting force, environmental factors, residual stress distortion, heat treatment distortion, and coating/plating variations. The machining uncertainty model shows that the machining uncertainty consists of both regenerated and inherited uncertainties. The proposed modeling method can evaluate a process route in terms of its error source impact on workpiece accuracy. A herringbone gear ring is used to demonstrate its effectiveness as a case study, where an uncertainty model is developed for the full process route, and the process route is assessed before the costly process trial. The process number is reduced from 18 to 15 without affecting the final workpiece accuracy. The experiment shows a good agreement with the uncertainty model results.
工艺路线的步进不确定性建模及其在环齿加工中的应用
提出了一种基于步进的加工路线不确定性建模方法。通过步骤间的交互作用,可以准确地解释工艺路线的完整性,并涉及生产环境中的所有误差源,包括工件定位面、机床定位面、刀具动力学、工件动力学、夹紧力、切削力、环境因素、残余应力变形、热处理变形和涂层/电镀变化。加工不确定性模型表明,加工不确定性包括再生不确定性和继承不确定性。所提出的建模方法可以根据误差源对工件精度的影响来评估工艺路线。以人字齿环为例,建立了整个工艺路线的不确定性模型,并在昂贵的工艺试验前对工艺路线进行了评估。在不影响最终工件精度的情况下,工序数从18个减少到15个。实验结果与不确定性模型的计算结果吻合较好。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
CIRP Journal of Manufacturing Science and Technology
CIRP Journal of Manufacturing Science and Technology Engineering-Industrial and Manufacturing Engineering
CiteScore
9.10
自引率
6.20%
发文量
166
审稿时长
63 days
期刊介绍: The CIRP Journal of Manufacturing Science and Technology (CIRP-JMST) publishes fundamental papers on manufacturing processes, production equipment and automation, product design, manufacturing systems and production organisations up to the level of the production networks, including all the related technical, human and economic factors. Preference is given to contributions describing research results whose feasibility has been demonstrated either in a laboratory or in the industrial praxis. Case studies and review papers on specific issues in manufacturing science and technology are equally encouraged.
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