评估受载悬臂固定部件在局部磨损过程中的性能

IF 0.4 Q4 ENGINEERING, MECHANICAL Journal of Machinery Manufacture and Reliability Pub Date : 2024-02-08 DOI:10.1134/s1052618823090091
A. M. Mikhal’chenkov, I. N. Kravchenko, V. F. Komogortsev, S. A. Fes’kov, G. V. Orekhova, O. V. Barmina
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引用次数: 0

摘要

摘 要 土壤和土壤耕作设备的执行机构(如挖掘机铲斗的齿)在运行过程中经常会出现局部磨损,这是造成破坏的原因。与此同时,专门研究此类部件的工作条件和资源预测的著名理论研究很少,而且都是为解决具体问题而进行的私人性质的研究。本文讨论的是工作面局部区域普遍磨损情况下的悬臂固定部件。一个矩形悬臂固定梁受到弯曲,其截面上有一个模拟磨损的凹槽作为计算模型。已经确定,悬臂固定部件在局部磨损情况下的工作状态是由其几何形状与磨损介质的容许应力和压力之间的不等式系统决定的。数学模型的建立有助于预测部件在磨损过程中的资源状况。
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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Assessment of the Performance of a Loaded Cantilever-Fixed Part in the Course of Local Wear

Abstract

The operation of the executive bodies of soil and soil-cultivating equipment (for example, the teeth of excavator buckets) is often accompanied by the formation and development of local wear, which is the cause of destruction. Meanwhile, well-known theoretical studies devoted to the study of working conditions and forecasting the resource of such parts are few and are of a private nature, stipulated by the solution of specific problems. This article deals with cantilever-fixed parts in the case of prevailing wear in local areas of the working surface. A rectangular cantilever fixed beam subjected to bending with a section where a groove simulating wear is located is considered as a calculation model. It has been established that the working state of a cantilever-fixed part with the presence of local wear is determined by a system of inequalities relating its geometry to the allowable stresses and pressure of the wear medium. A mathematical model has been obtained facilitating prediction of the resource of a part as its wear develops.

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来源期刊
CiteScore
0.80
自引率
33.30%
发文量
61
期刊介绍: Journal of Machinery Manufacture and Reliability  is devoted to advances in machine design; CAD/CAM; experimental mechanics of machines, machine life expectancy, and reliability studies; machine dynamics and kinematics; vibration, acoustics, and stress/strain; wear resistance engineering; real-time machine operation diagnostics; robotic systems; new materials and manufacturing processes, and other topics.
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