Experimental Exploration of Specific Wear Rate in Linear Reciprocating Motion Using Dimensional Analysis

IF 1.9 4区 工程技术 Q3 ENGINEERING, MECHANICAL
P. Kumar, B. Kumar, S. Pratap
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引用次数: 0

Abstract

Engineering components such as bearings, pistons, and sliding contact are subjected to wear losses, and understanding and quantifying wear rates are essential for designing and maintaining various engineering components. The present work employs a dimensional analysis to derive a relationship for finding the specific wear rate. A comprehensive investigation of wear was carried out using the linear reciprocating wear method through the lens of dimensional analysis. The dimensional analysis is a promising method for developing a relationship between the dependent and independent variables. A Taguchi L27 full factorial (33) orthogonal array experimental design was considered in executing the experiment for the data collection. The developed mathematical relation was further validated with the experimental result, and the best-obtained result supports the experimental result with a 2.34% error.

基于量纲分析的直线往复运动比磨损率实验研究
轴承、活塞和滑动接触等工程部件都会遭受磨损损失,了解和量化磨损率对于设计和维护各种工程部件至关重要。目前的工作采用量纲分析,以得出一个关系,以找到具体的磨损率。采用线性往复磨损法,从量纲分析的角度对其磨损进行了全面研究。量纲分析是研究因变量和自变量之间关系的一种很有前途的方法。数据收集采用田口L27全因子(33)正交试验设计。用实验结果进一步验证了建立的数学关系,得到的最佳结果与实验结果吻合,误差为2.34%。
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来源期刊
Experimental Techniques
Experimental Techniques 工程技术-材料科学:表征与测试
CiteScore
3.50
自引率
6.20%
发文量
88
审稿时长
5.2 months
期刊介绍: Experimental Techniques is a bimonthly interdisciplinary publication of the Society for Experimental Mechanics focusing on the development, application and tutorial of experimental mechanics techniques. The purpose for Experimental Techniques is to promote pedagogical, technical and practical advancements in experimental mechanics while supporting the Society''s mission and commitment to interdisciplinary application, research and development, education, and active promotion of experimental methods to: - Increase the knowledge of physical phenomena - Further the understanding of the behavior of materials, structures, and systems - Provide the necessary physical observations necessary to improve and assess new analytical and computational approaches.
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