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Optimization of Machining Parameters in Turning of AISI 4340 Steel under Cryogenic Condition using Taguchi Technique

机译:利用Taguchi技术优化低温条件下AISI 4340钢的车削加工参数

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This experimental research on cryogenic turning process involves the modelling and optimization of the process parameters affecting the machining performance and value oriented sustainable manufacturing. In the present work, the machining parameters namely the cutting speed, feed rate, depth of cut and rake angle are optimized for minimum surface roughness on AISI 4340 steel. The experimentation was planned using Taguchi's L9 theory. An orthogonal array (L 9 ), the signal-to-noise (S/N) ratio, and the Qualitek-4 were employed to the study the surface roughness in the turning of AISI 4340 steel under cryogenic condition. It was observed that cutting speed and depth of cut was the most influential factors on the surface roughness. To validate the study, confirmation experiment has been carried out at optimum set of parameters and predicted results have been found to be in good agreement with experimental findings. The results have revealed that cryogenic machining has yielded better surface finish.
机译:这项针对低温车削工艺的实验研究涉及对影响加工性能和价值导向的可持续制造的工艺参数进行建模和优化。在当前工作中,优化了切削速度,进给速度,切削深度和前角的加工参数,以使AISI 4340钢的表面粗糙度最小。实验是使用田口L9理论进行的。利用正交阵列(L 9),信噪比(S / N)和Qualitek-4研究了低温条件下AISI 4340钢车削时的表面粗糙度。观察到切削速度和切削深度是影响表面粗糙度的最主要因素。为了验证该研究,已在最佳参数集上进行了确认实验,并且发现预测结果与实验结果非常吻合。结果表明,低温机加工产生了更好的表面光洁度。

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