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PREDICTIVE MODELING OF SURFACE ROUGHNESS, MATERIAL REMOVAL RATE AND KERF USING MULTIPLE REGRESSION ANALYIS IN PLASMA ARC CUTTING PROCESS OF HARDOX AND ABREX STEEL
Surface Review and Letters ( IF 1.1 ) Pub Date : 2020-01-31 , DOI: 10.1142/s0218625x19502068
DEEPAK KUMAR NAIK 1 , KALIPADA MAITY 2
Affiliation  

Plasma arc cutting (PAC) process is widely used in metal cutting industries and modern fabrication units. Precise cutting of high strength material is still a challenging task to the industries. PAC process uses thermal energy to melt the material through highly energized plasma gas. Mostly, “hard-to-cut” type materials is used to cut through this process to meet the demands. The present work proposes an experimental investigation of PAC process of hardox 400 and abrex 400. Both the materials are high strength and high abrasion resistance in nature. Experiments were conducted based on Taguchi’s L[Formula: see text] orthogonal array design. The cutting parameters analyzed were arc current, cutting speed, stand-off distance and supply gas pressure whereas material removal rate, kerf and surface roughness were selected as responses. Also, a prediction model was developed to estimate the responses using multiple regression analysis. A comparison between experimental and predicted result shows the accuracy of the model. Analysis of variance (ANOVA) was used to verify the effect of each parameter on the surface quality to be assessed.

中文翻译:

在 Hardox 和 ABREX 钢的等离子弧切割过程中使用多重回归分析预测表面粗糙度、材料去除率和切缝建模

等离子弧切割 (PAC) 工艺广泛用于金属切割行业和现代制造单位。高强度材料的精密切割仍然是行业的一项艰巨任务。PAC 工艺使用热能通过高能等离子气体熔化材料。大多数情况下,“难以切割”类型的材料用于切割此过程以满足需求。目前的工作提出对 hardox 400 和 abrex 400 的 PAC 工艺进行实验研究。这两种材料本质上都是高强度和高耐磨性的。基于田口的L[公式:见正文]正交阵列设计进行实验。分析的切割参数是电弧电流、切割速度、间隔距离和供气压力,而材料去除率、切口和表面粗糙度被选为响应。还,开发了一个预测模型以使用多元回归分析来估计响应。实验结果与预测结果的比较显示了模型的准确性。方差分析 (ANOVA) 用于验证每个参数对要评估的表面质量的影响。
更新日期:2020-01-31
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