Numerical and Experimental Analysis of Surface Roughness of AISI D3 Alloy Steel during Pocket Milling Operation

I. Daniyan, K. Mpofu, A. Adeodu, I. Uchegbu
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引用次数: 3

Abstract

—Surface roughness is a quality index which partly determines the ability of a material to meet its service or functional requirements. In this study, the Response Surface Methodology (RSM) was used for numerical analysis of the pocket milling operation of AISI D3 alloy steel and this was validated via physical experimentations. The physical experimentations were carried with the aid of a Deckel Maho DMU80mono BLOCK 5-axis CNC milling machine. The range of the process parameters selected include; feed rate between 0.1-0.5 mm/rev, depth of cut between 1- 3 mm and speed of cut between 150-375 m/min. The RSM generated 20 possible experimental runs while their responses (surface roughness) were gotten from physical experimentations. The results of the physical experimentations serve as input into the numerical analysis carried out using the RSM. This was used to obtain a predictive model equation for determining the magnitude of surface roughness as a function of the three cutting parameters employed (feed rate, depth of cut and cutting speed). Furthermore, the optimisation of the solutions obtained generated 10 possible solutions whose desirability values were equal to 1. The findings of this study may assist machinist in achieving good surface quality during the milling operation of AISI D3 alloy steel.
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AISI D3合金钢袋铣加工表面粗糙度的数值与实验分析
表面粗糙度是一种质量指标,它在一定程度上决定了材料满足其使用或功能要求的能力。本文采用响应面法(RSM)对AISI D3合金钢的口袋铣削加工过程进行了数值分析,并通过物理实验对其进行了验证。在Deckel Maho DMU80mono BLOCK五轴数控铣床上进行了物理实验。所选工艺参数的范围包括;进给速度为0.1-0.5 mm/rev,切割深度为1- 3mm,切割速度为150-375 m/min。RSM产生了20个可能的实验运行,而它们的响应(表面粗糙度)是从物理实验中得到的。物理实验的结果作为输入输入到使用RSM进行的数值分析。这被用来获得一个预测模型方程,用于确定表面粗糙度的大小作为所采用的三个切削参数(进给速度、切削深度和切削速度)的函数。进一步,对得到的解进行优化,产生10个可取性值为1的可能解。本研究的结果可以帮助机械师在AISI D3合金钢的铣削操作中获得良好的表面质量。
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来源期刊
CiteScore
2.80
自引率
0.00%
发文量
25
期刊介绍: International Journal of Mechanical Engineering and Robotics Research. IJMERR is a scholarly peer-reviewed international scientific journal published bimonthly, focusing on theories, systems, methods, algorithms and applications in mechanical engineering and robotics. It provides a high profile, leading edge forum for academic researchers, industrial professionals, engineers, consultants, managers, educators and policy makers working in the field to contribute and disseminate innovative new work on Mechanical Engineering and Robotics Research.
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