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首页> 外文期刊>Indian Journal of Science and Technology >Analysis of Productivity for Manufacturing Processe Improvement of an Automobile Bearing Flange by Simulation Experiments
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Analysis of Productivity for Manufacturing Processe Improvement of an Automobile Bearing Flange by Simulation Experiments

机译:用仿真实验分析汽车轴承法兰制造工艺的生产率

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摘要

A bearing flange in the 6-speed automobile transmission is a substantial part that requires its precise dimension process with particularly smooth and clear surface. If there remains burr separated on the surface, it can cause the vital defection of an automobile. At present, the de-burring process has the problems such as inconsistent job performances and industrial diseases due to the experiences and fatigues when processed manually. For the resolution of those issues, the automation technology applying to robot instruments has been considered resulting in improved the productivity through the consistent work, prevention of industry diseases and flexible relocations of workers. Accordingly we have analyzed improving productivity of the burr removal process utilizing the robot by the "witness simulation experiments". For this, we have initially analyzed it before and after de-process, regarding time of work a day, cycle time and number of workers etc., based on these we have designed and performed simulation experiments, where we have also analyzed the mean Work-in-Process fluctuation, mean lead time and error rate, furthermore having examined its process optimization afterward.
机译:6速汽车变速器中的轴承法兰是一个重要组成部分,需要对其尺寸进行精确的加工,并具有特别光滑和透明的表面。如果表面上残留毛刺,则可能导致汽车严重损坏。当前,去毛刺过程由于手工加工的经验和疲劳而具有诸如工作性能不一致和工业疾病之类的问题。为了解决这些问题,已考虑将适用于机器人仪器的自动化技术通过一致的工作,预防工业疾病和灵活地安置工人来提高生产率。因此,我们通过“目击者仿真实验”分析了利用机器人提高毛刺去除工艺的生产率。为此,我们在处理之前和之后进行了初步分析,涉及每天的工作时间,周期时间和工人人数等,在此基础上,我们设计并进行了模拟实验,还分析了平均工作量。制程中的波动,平均交货时间和错误率,随后还检查了其工艺优化。

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