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Rational Route Choosing Methodology for Machine Parts Restoration and Repair

机译:理性路线选择机器零件修复和维修方法

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This paper presents a modern approach to choosing the optimal route for restoration and repair of machine parts with full consideration of their operating parameters as well as economic substantiation for using this or that repair technology. To determine the optimal restoration route, we need a dependency analysis, for which we should meet the condition that underlies the preventative maintenance system and that is complied with the multiplicity principle. For thread wear or thread-stripping, there are several methods of thread restoration, such as hole-welding with subsequent threading; mounting a thread insert; hole-machining and oversized threading; use of polymer materials; or mounting a threaded spiral insert. Unlike that, it is far more complicated to choose the optimal route for the worn surfaces restoration. With full consideration of the flux grade and the electrode wire material, there can be as many as 400 or even 500 selectable routes. That is why we can rely on the applicability, durability, and cost-effectiveness analysis to narrow the range of options. When choosing the best method to correct the defect, one has to duly consider how this part operates, the load it takes, and whether there are fatigue cracks. These data help to select the most optimal route on the applicability basis. The most accurate and reliable data are obtained on the basis of the real-world use of pairings, nodes, and units. When finding out whether this or that route is optimal, the techno-economic criterion is the most important one.
机译:本文提出了一种现代方法,可以通过全面考虑其运行参数以及使用此或该修复技术的经济实证来选择恢复和修理机器部件的最佳路线。为了确定最佳恢复路由,我们需要一个依赖性分析,我们应该符合预防性维护系统和符合多重原则的条件。对于螺纹磨损或螺纹剥离,有几种螺纹修复方法,例如具有随后的螺纹的空穴焊接;安装螺纹插件;孔加工和超大螺纹;使用聚合物材料;或安装螺旋螺旋插入物。与此外,选择磨损表面恢复的最佳路线是更复杂的。充分考虑了通量等级和电极线材材料,可以有多达400甚至500个可选择的路线。这就是为什么我们可以依靠适用性,耐用性和成本效益分析来缩小选项范围。在选择纠正缺陷的最佳方法时,必须正式考虑本部分如何运行,所需的负载以及是否存在疲劳裂缝。这些数据有助于根据适用性选择最佳路线。最准确和可靠的数据是基于现实世界使用配对,节点和单位的基础获得的。在找出这个或那条路线是否最佳时,技术经济标准是最重要的。

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