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Experimental investigation of cut quality characteristics on SS321 using plasma arc cutting

机译:使用等离子弧切割对SS321切割质量特性的实验研究

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摘要

This work investigates the cut quality characteristics of SS321 using plasma arc cutting. The SS321 has a wide range of applications such as in chemical storage, exhaust manifolds of automotives and aircraft. The intricate shapes for this material are very difficult to cut using conventional machining process. Hence, plasma arc cutting is used. The input cutting parameters are cutting speed, current, stand off distance and gas pressure. For each input parameter, three levels are considered and, therefore, total numbers of experimental runs are 3 x 3 x 3 x 3 = 81. To minimize the number of runs, the Taguchi L9 orthogonal array is proposed which is having advantages of both minimum and maximum trial runs. The output parameters are surface roughness, kerf width and heat-affected zone. The experiments are carried out in Micro Step spol S.R.O. Plasma arc cutting machine. To find the best cutting parameters, the regression models are given as input of Matlab-Genetic Algorithm. The test results show that ANOVA models are significant. It is inferred that lower values of current and Standoff Distance give better surface roughness and minimum heat-affected zone.
机译:本文研究了SS321采用等离子弧切割的切割质量特性。SS321 具有广泛的应用,例如化学品储存、汽车和飞机的排气歧管。这种材料的复杂形状很难使用传统的加工工艺进行切割。因此,使用等离子弧切割。输入切割参数包括切割速度、电流、支架距离和气体压力。对于每个输入参数,考虑三个级别,因此,实验运行的总数为 3 x 3 x 3 x 3 = 81。为了尽量减少运行次数,提出了田口L9正交阵列,该阵列具有最小和最大试运行的优点。输出参数包括表面粗糙度、切口宽度和热影响区。实验在Micro Step spol S.R.O.等离子弧切割机中进行。为了找到最佳的切割参数,回归模型作为Matlab-Genetic Algorithm的输入给出。检验结果表明,方差分析模型具有显著性。据推断,电流和距离的值越低,表面粗糙度越好,热影响区越小。

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