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Size distribution analysis of wear debris generated in HEMM engine oil for reliability assessment: A statistical approach

机译:可靠性评估中麻线发动机油磨损碎片尺寸分布分析:统计方法

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摘要

Wear debris size distribution in lubricated system closely related to lubricant condition and wear process. In this work, a model has been developed to predict the wear severity with operation time. The used oil samples were collected from Heavy Earth Moving Machines (HEMM) (Model No: BEML BH50M - dumper) employed in open cast mining (Dhanbad, India). Ferrography was used for the isolation as well as capturing image of wear debris from the collected samples. The captured images of wear debris were then processed for the generation of particle distribution using ImageJ software. It has been observed that most of the wear particles are found in 1-25 mu m size range. The particle distribution over time has been studied using Weibull distribution model. Based on the statistical modelling of wear particles distribution with time of operation, results show that the percentage of larger particle (25 mu m) increase with time. (C) 2018 Elsevier Ltd. All rights reserved.
机译:润滑系统中戴碎屑尺寸分布与润滑剂条件和磨损过程密切相关。 在这项工作中,已经开发了一种模型来预测具有操作时间的磨损严重程度。 在开放的铸造矿业(印度Dhanbad)中使用的重型移动机(SEMM)(型号:BEML BH50M - DUMPER)收集二手油样品。 将铁镜头用于隔离以及从收集的样品中捕获磨损碎片的图像。 然后使用ImageJ软件处理佩戴碎片的捕获图像的磨损图像。 已经观察到大部分磨损颗粒在1-25μmm尺寸范围内被发现。 使用Weibull分布模型研究了随时间的粒子分布。 基于磨损颗粒分布与操作时间的统计建模,结果表明,较大颗粒(&25μm)随时间的增加而增加。 (c)2018年elestvier有限公司保留所有权利。

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