Experimental investigation and multi-response optimisation of end milling in aluminium-5083 alloy using desirability analysis

IF 0.5 Q4 ENGINEERING, INDUSTRIAL

International Journal of Manufacturing Research Pub Date : 2023-01-01 DOI:10.1504/ijmr.2023.132834

Abhiman Debnath, Siddhartha Kar, Uttam Kumar Mandal, Vidyut Dey

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引用次数: 0

Abstract

The present study deals with end milling of aluminium alloy (Al 5083-H112) with carbide tools in dry condition. Process parameters, such as cutting speed, feed rate, depth of cut, and tool parameters such as nose shape and number of flutes are varied to investigate their effect on material removal rate (MRR), resultant cutting force (CF) and surface roughness (Ra). Analysis of variance is employed to find the significance of the individual process parameters on the responses. The concept of desirability function analysis is employed to optimise the process parameters for machining. The composite desirability value determines the optimum combination of parameters obtained from all the responses' simultaneous optimisation. A confirmation test is conducted based on the optimal parameter setting to exemplify the potency of the approach. The confirmation test results are convincingly close to the predicted ones as the errors are less than 5%, which signifies the robustness of the model. [Submitted 9 August 2021; Accepted 14 December 2021]

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基于期望分析的5083铝合金立铣削工艺试验研究及多响应优化

本文研究了用硬质合金刀具在干燥条件下铣削铝合金(al5083 - h112)的工艺。工艺参数，如切削速度，进给量，切削深度，刀具参数，如机头形状和凹槽数量的变化，以研究它们对材料去除率(MRR)，合力切削力(CF)和表面粗糙度(Ra)的影响。方差分析是用来找出个别工艺参数对响应的显著性。采用理想函数分析的概念对加工工艺参数进行优化。综合期望值决定了所有响应同时优化得到的参数的最优组合。根据最优参数设置进行了验证试验，以验证该方法的有效性。验证结果与预测结果接近，误差小于5%，表明模型具有较好的鲁棒性。[2021年8月9日提交;接受2021年12月14日]

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

International Journal of Manufacturing Research Engineering-Industrial and Manufacturing Engineering

CiteScore

0.90

自引率

0.00%

发文量

期刊介绍： Manufacturing contributes significantly to modern civilization and creates momentum that drives today"s economy. Much research work has been devoted to improving manufactured product quality and manufacturing process efficiency for many decades. Thanks to recent advances in computer and network technologies, sensors, control systems and manufacturing machines, manufacturing research has progressed to a new level. In addition, new research areas in manufacturing are emerging to address problems encountered in the evolving manufacturing environment, such as the increasing business practice of globalisation and outsourcing. This dedicated research journal has been established to report state-of-the-art and new developments in modern manufacturing research.