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Tolerance management in robot-based assembly optimizes product, process and system deviations

机译:基于机器人的装配中的公差管理优化了产品,过程和系统偏差

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Deviations of individual parts, assemblies, modules, processes, and equipment interact in assembly and can lead to rework or rejects of the finished product. In general, deviations cannot be avoided but must be managed. There are many analysis methods, however only few abstract methods concentrate on optimization. Thus, there is a lack of concrete, easy and feasible optimization methods for deviation reduction. This paper presents a novel method for assembly optimization by combining tolerance chains and a developed optimization tree, which gives a holistic overview of practical improvement measures. The method is validated on an automated robot process in engine production.
机译:各个部件,组件,模块,工艺和设备的偏差在组装中相互作用,可以导致成品的返工或拒绝。 通常,无法避免偏差,但必须管理。 有许多分析方法,然而只有很少的抽象方法集中在优化上。 因此,缺乏用于偏差减少的具体,简单,可行的优化方法。 本文通过组合公差链和开发的优化树,提出了一种用于装配优化的新方法,这提供了实际改进措施的整体概述。 该方法在发动机生产中的自动机器人过程中验证。

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