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首页> 外文期刊>International Journal of Engineering Research and Applications >Empirical model for Surface Roughness in hard turning based on Analysis of Machining Parameters and Hardness values of various Engineering Materials
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Empirical model for Surface Roughness in hard turning based on Analysis of Machining Parameters and Hardness values of various Engineering Materials

机译:基于各种工程材料加工参数和硬度值分析的硬车削表面粗糙度经验模型

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This paper investigates the machining parameters affecting the roughness of surfaces produced in hard turning process for three different materials like EN8 steel, Aluminium alloy and Copper alloy under dry conditions. Three parameters were selected for study: cutting speed, feed and material hardness. For the three materials like Aluminium alloy, copper alloy and EN8 steel impact of increase in feeds versus decrease in cutting speeds with constant depth of cut adopted to analyze the influence of these parameters on the generated surface roughness. Regression analysis using MINITAB software for all the three material turning operation data mining was used to create model for the prediction of the average surface roughness (Ra) in terms of cutting speed, feed and material hardness and 67.2% of R2 and 47.52% of R2(adj) were obtained.
机译:本文研究了在干燥条件下,三种不同材料(如EN8钢,铝合金和铜合金)在硬车削过程中会影响表面粗糙度的加工参数。选择了三个参数进行研究:切削速度,进给和材料硬度。对于铝合金,铜合金和EN8钢这三种材料,采用恒定切削深度时进给量增加与切削速度降低的影响,用于分析这些参数对产生的表面粗糙度的影响。使用MINITAB软件对所有三种材料车削操作数据挖掘进行回归分析,以创建模型,以预测平均表面粗糙度(Ra)的切削速度,进给和材料硬度以及R2的67.2%和R2的47.52% (adj)已获得。

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