首页> 外文期刊>The International Journal of Advanced Manufacturing Technology >A comparative study on performance of cermet and coated carbide inserts in straight turning AISI 316L austenitic stainless steel
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A comparative study on performance of cermet and coated carbide inserts in straight turning AISI 316L austenitic stainless steel

机译:Cermet和涂层碳化物刀片在直转动AISI 316L奥氏体不锈钢中的性能比较研究

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In this comparative study, response surface methodology (RSM) was utilized to predict the surface roughness (Ra) and cutting force (Fz) when dry turning of AISI 316L austenitic stainless steel using cermet (GC1525) and coated carbide (GC1125) inserts. A constitutive relationship was attained correlating the prediction responses with three input parameters including cutting speed (Vc), feed (f), and depth of cut (ap). The models were developed using twenty-seven experiments carried out based on Taguchi L-27 orthogonal array. The formulated models' accuracy was checked based on the coefficient of determination (R-2), mean absolute percentage error (MAPE), and root mean square error (RMSE). Furthermore, three optimization methods, namely simulated annealing (SA), genetic algorithm (GA), and desirability function, were used to determine a set of optimal cutting parameters leading to minimize Ra and Fz separately and simultaneously. The results revealed that RSM models provided precise assessments of Ra and Fz. Regarding to the inserts' performance, it was obtained that the coated carbide insert produced better surface quality and minimum cutting force than the cermet insert. On the other hand, the cermet insert was found to have higher tool life than that of coated carbide insert with a ratio (tool life(GC1525)/tool life(GC1125)) of 1.25. Finally, according to optimization analysis, it was referred that the GA method was indicated better capability to achieve the optimum solutions that lead to the minimum Ra and Fz values separately and faster than the SA method. Proceeding from that, it was utilized in the multi-objective optimization in order to minimize Ra and Fz simultaneously and then compared with desirability function.
机译:在这项对比研究中,使用响应面法(RSM)预测了使用金属陶瓷(GC1525)和涂层碳化物(GC1125)刀片干车削AISI 316L奥氏体不锈钢时的表面粗糙度(Ra)和切削力(Fz)。将预测响应与切削速度(Vc)、进给量(f)和切削深度(ap)三个输入参数关联,得到了本构关系。这些模型是使用基于田口L-27正交表的27个实验开发的。根据确定系数(R-2)、平均绝对百分比误差(MAPE)和均方根误差(RMSE)检查公式化模型的准确性。此外,采用三种优化方法,即模拟退火(SA)、遗传算法(GA)和期望函数,分别并同时确定一组使Ra和Fz最小化的最佳切削参数。结果显示,RSM模型提供了Ra和Fz的精确评估。从刀片的性能来看,涂层硬质合金刀片比金属陶瓷刀片具有更好的表面质量和最小的切削力。另一方面,发现金属陶瓷刀片比涂层硬质合金刀片具有更高的刀具寿命,其比(刀具寿命(GC1525)/刀具寿命(GC1125))为1.25。最后,根据优化分析,表明GA方法比SA方法能够更快地获得分别导致最小Ra和Fz值的最优解。在此基础上,将其应用于多目标优化中,使Ra和Fz同时最小化,并与期望函数进行比较。

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