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Optimisation of process parameters in solid lubricant (MoS{sub}2) assisted machining of AISI 1040 steel by response surface methodology

机译:响应面法优化AISI 1040钢在固体润滑剂(MoS {sub} 2)辅助加工中的工艺参数

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摘要

The machining of materials has received substantial attention due to the increasing use of machining processes in various industrial applications. Machining leads to high friction between tool and work piece interface and can result in high temperatures, impairing the dimensional accuracy and the surface quality of products. The conventional machining has problem, like high machining zone temperature which may lead to poor surface quality. Machining fluids are applied in different forms to control such high temperature but they are partially effective within a narrow working range, recent studies also indicate their polluting nature. Solid Lubricant Assisted Machining (SLAM) is a novel concept to control the machining zone temperature without polluting the environment. In this study, the experimental set-up for the solid lubricant powder feeder arrangement is designed and fabricated on the lathe machine. The application of Response Surface Methodology (RSM) and Central Composite Design (CCD) for modelling the influence of operating variables on the performance of surface roughness during SLAM are studied. The mathematical model equations were developed for surface roughness using set of experimental data by computer simulation applying least squares method. The developed equations are third-order response functions representing surface roughness of AISI 1040 steel, as functions of four operating variables of SLAM. The predicted values of surface roughness were found to be in good agreement with experimental values for third order model when compared to second order model. The obtained coefficients of multiple regression (R2) values are 0.8686 and 0.9930 for second and third order model, respectively. The 3D response surfaces and contours were plotted using MATLAB7.0.1 with experimental data to obtain the desired set of process parameters within the operating range of process variables during SLAM of AISI 1040 Steel.
机译:由于在各种工业应用中越来越多地使用加工工艺,因此材料的加工受到了广泛的关注。机加工导致工具和工件界面之间的高摩擦,并可能导致高温,从而损害产品的尺寸精度和表面质量。常规机加工具有问题,例如机加工区温度高,这可能导致不良的表面质量。加工液以不同形式施加以控制这种高温,但是它们在狭窄的工作范围内部分有效,最近的研究也表明了它们的污染性质。固体润滑剂辅助加工(SLAM)是一种新颖的概念,可在不污染环境的情况下控制加工区的温度。在这项研究中,固体润滑剂粉末给料器装置的实验装置是在车床上设计和制造的。研究了响应表面方法学(RSM)和中央复合设计(CCD)在建模SLAM期间操作变量对表面粗糙度性能的影响方面的应用。通过使用最小二乘法的计算机模拟,使用一组实验数据为表面粗糙度开发了数学模型方程。所开发的方程是代表AISI 1040钢表面粗糙度的三阶响应函数,是SLAM四个操作变量的函数。当与二阶模型比较时,发现表面粗糙度的预测值与三阶模型的实验值非常吻合。对于二阶和三阶模型,获得的多元回归(R2)值的系数分别为0.8686和0.9930。使用MATLAB7.0.1和实验数据绘制3D响应表面和轮廓,以在AISI 1040 Steel的SLAM期间在过程变量的操作范围内获得所需的过程参数集。

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