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Optimisation of machining parameters for turning operations based on response surface methodology

机译：基于响应面法的车削加工参数优化

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Design of experiments has been used to study the effect of the main turning parameters such as feed rate, tool nose radius, cutting speed and depth of cut on the surface roughness of AISI 410 steel. A mathematical prediction model of the surface roughness has been developed in terms of above parameters. The effect of these parameters on the surface roughness has been investigated by using Response Surface Methodology (RSM). Response surface contours were constructed for determining the optimum conditions for a required surface roughness. The developed prediction equation shows that the feed rate is the main factor followed by tool nose radius influences the surface roughness. The surface roughness was found to increase with the increase in the feed and it decreased with increase in the tool nose radius. The verification experiment is carried out to check the validity of the developed model that predicted surface roughness within 6% error.
机译：实验设计已用于研究主要车削参数（例如进给速度，刀尖半径，切削速度和切削深度）对AISI 410钢表面粗糙度的影响。根据上述参数，已经开发出表面粗糙度的数学预测模型。这些参数对表面粗糙度的影响已通过使用响应表面方法（RSM）进行了研究。构造响应表面轮廓，以确定所需表面粗糙度的最佳条件。建立的预测方程表明，进给速度是主要因素，其次是刀尖半径会影响表面粗糙度。发现表面粗糙度随着进给量的增加而增加，而随着刀尖半径的增加而降低。进行了验证实验，以检验预测的表面粗糙度在6％误差以内的已开发模型的有效性。

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