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Optimisation of machining parameters of train wheel for shrink-fit application by considering surface roughness and chip morphology parameters
Engineering Science and Technology, an International Journal ( IF 5.1 ) Pub Date : 2020-10-01 , DOI: 10.1016/j.jestch.2020.06.013
Mehmet Emin Akay , Anil Ridvanogullari

Abstract The train wheel is one of the elements most exposed to static and dynamic loads during the transport. For this reason, it is of great importance for the safety of rail transportation that the wheel-axle assembly is carried out securely through the shrink-fit method. The surface roughness of the inner diameter of the wheel must be within 0.8–3.2 μm in order to provide the optimum shrink-fit. In this study, different depth-of-cut, feed rate and cutting speed parameters were considered in the turning process of ER8 class train wheel, and optimum machinability parameters were determined. In the experimental study, the Taguchi experimental design method, regression analysis and variance analysis (ANOVA) method were used. Experimental results were examined visually by using chip photographs and SEM images. According to the ANOVA results, it was determined that the most effective parameter is the feed rate with 93.78% on surface roughness in the turning of the train wheel. The SEM images derived from chips proved that the feed rate has strong correlation with surface roughness. Optimum machining parameters were determined as 1.5 mm depth of cut, 0.1 mm/rev feed rate and 250 rpm cutting speed.

中文翻译:

考虑表面粗糙度和切屑形态参数的热缩配合轮系加工参数优化

摘要 火车车轮是运输过程中承受静态和动态载荷最大的元件之一。为此,通过热装方法安全地进行轮轴装配对于轨道交通的安全具有重要意义。车轮内径的表面粗糙度必须在 0.8-3.2 μm 之间,以提供最佳的收缩配合。本研究在ER8级轮系车削过程中考虑了不同的切深、进给率和切削速度参数,确定了最佳切削加工参数。在实验研究中,使用了田口实验设计方法、回归分析和方差分析(ANOVA)方法。通过使用芯片照片和 SEM 图像目视检查实验结果。根据方差分析结果,确定最有效的参数是进给率,在车轮转动时表面粗糙度为 93.78%。来自切屑的 SEM 图像证明进给速率与表面粗糙度有很强的相关性。最佳加工参数确定为 1.5 毫米切削深度、0.1 毫米/转进给率和 250 rpm 切削速度。
更新日期:2020-10-01
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