采用全因子设计确定不锈钢板切割等离子弧加工设置参数的实验设计

Restiawan Ahmaddani, Khusna Dwijayanti
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摘要

等离子弧加工是用等离子弧切割导体金属(如金属板)的一种金属切削方式。等离子弧加工存在的问题是,由于热量的作用,切割结果会产生较大的毛刺,从而导致工件表面粗糙。本研究采用全因子设计的实验方法,旨在最大限度地降低不锈钢板的表面粗糙度。在这项研究中,有三个因素,即割炬高度、切割速度和电流。每个因素都有三个水平。通过全因子设计,处理次数为 33=27 次试验。数据处理方差分析的研究结果表明,对表面粗糙度影响最大的因素是切割速度,其贡献值为 90.76%,其次是其他两个因素,即割炬高度的贡献值为 2.42%,电流的贡献值为 0.23%,噪声的贡献值为 6.59%。然后,基于数据处理鲁棒设计,通过设置 1 mm 割炬高度、2400 mm/min 切割速度和 30 A 电流,获得了最佳参数组合。根据确认实验,采用最佳参数组合的实验可使间隙噪声达到 2.283 dB。因此,确定等离子弧加工参数设置的实验设计可以确定参数的最佳组合,使表面粗糙度最小。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Design of Experiment for Determining Setting Parameter on Plasma Arc Machining for Stainless Steel Plate Cutting with Full Factorial Design
Plasma Arc Machining is a metal cutting where conductor metal such as sheets metal are cut with plasma arc. Problem in plasma arc machining is the result of cutting has burr which is quite large due to the heat, resulting the surface roughness on the workpiece. This research aim to minimize the surface roughness of the stainless steel plate uses a design of experiment method with full factorial design. In this research, there are three factors, that are torch height, cutting speed, and electric current. Each factor has three levels. By using full factorial design, the number of treatments are 33=27 trials. The results of the research on data processing analysis of variance show that the most influential factor on surface roughness is cutting speed with contribution value of 90.76% followed by two other factors, that is height torch with contribution value of 2.42% and electric current with contribution value of 0.23% and contribution value of noise by 6.59%. Then based on data processing robust design the optimum combination of parameters is obtained by using setting 1 mm torch height, 2400 mm/min cutting speed, and 30 A electric current. Based on the confirmation experiments, experiments with optimum parameter combinations can reach a gap noise of 2.283 dB. Therefore, the design of experiment for determining parameter setting plasma arc machining can determine the optimum combination of parameters to minimize the surface roughness.
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