Optimum combination of machining parameters during drilling of Aluminium 7075 alloys using Grey based Taguchi approach

R. Sreenivasulu, C. S. Rao
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引用次数: 1

Abstract

From ancient days to till today manufacturing industries, especially making of holes on the parts during drilling process for precision assembling of parts facing problems with burr formation. Drilling operation is one of the finishing operation in the production cycle, removing of burrs during drilling process is a time consuming and non-value added process to the manufacturing sector. So reducing the size of burrs is the main aim of the present study. In the present work, optimization of burr size is considered during drilling of aluminium 7075 alloy. From Grey relational grades of responses selected optimal combination of parameters to attain multiple performance characteristics of responses with a corresponding higher grey relational grade. For identifying the most significant input parameters that influence the output responses ANOVA is conducted. Finally, observations reveals that feed rate, point and clearance angles are the most influential factors on burr size and also experimental results divulge that the lower the thrust force causes to decrease the burr height. The proposed approach is helpful to the budding entrepreneurs in the related areas to select optimal combination of drilling parameters to attain multiple performance characteristics of responses especially in burr size to prevent the post finishing operations.
基于灰色田口法的7075铝合金钻孔加工参数优化组合
从古至今,制造业,特别是在零件精密装配的钻孔过程中,在零件上打孔,都面临着毛刺形成的问题。钻井作业是生产周期中的精加工作业之一,钻井过程中的毛刺去除对制造业来说是一个耗时且无附加值的过程。因此减小毛刺的尺寸是本研究的主要目的。本文研究了7075铝合金钻孔过程中毛刺尺寸的优化问题。从响应的灰关联等级中选择参数的最优组合,从而获得具有相应较高灰关联等级的多个响应的性能特征。为了确定影响输出响应的最重要的输入参数,进行了方差分析。最后,实验结果表明,进给速度、进给点和间隙角是影响毛刺尺寸的主要因素,并且实验结果表明,推力越小毛刺高度越低。该方法有助于相关领域的新兴企业家选择最佳的钻孔参数组合,以获得响应的多种性能特征,特别是毛刺尺寸,以防止后精加工。
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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