Optimization of process variables in drilling of LM6/fly ash composites using Grey-Taguchi method

被引:8
|
作者
Rubi, C. Sarala [1 ]
Prakash, J. Udaya [2 ]
Rajkumar, C. [2 ]
Mohan, A. [2 ]
Muthukumarasamy, S. [2 ]
机构
[1] Vel Tech Rangarajan Dr Sagunthala R&D Inst Sci &, Dept Phys, Chennai, Tamil Nadu, India
[2] Vel Tech Rangarajan Dr Sagunthala R&D Inst Sci &, Dept Mech Engn, Chennai, Tamil Nadu, India
关键词
Composite Materials; Drilling; Grey Relational Analysis; Taguchi Technique; ANOVA; STAINLESS-STEEL; MATRIX; MACHINABILITY; AUSTENITE; BEHAVIOR;
D O I
10.1016/j.matpr.2022.04.627
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
Drilling is a critical step in the hole-making operation. It is quite beneficial for part assembly. Hard particulates introduced into the continuous phase of the composite materials, makes them hard to process. As a result, optimizing the drilling variables is inevitable . The primary goal of this study is to manufacture LM6/Fly Ash with weight percentages of fly ash 3, 6 and 9 adopting the stir casting technique. The second objective is to use Taguchi's Design of Experiments (L-27 OA) to drill composite materials using feed rate (F), spindle speed (S), drill material (D), and % of reinforcement (R) as drilling process variables at 3 levels. The ultimate goal is to optimize the drilling process variables for obtaining minimum thrust force (TF), surface roughness (SR) and burr height (BH) using multi-objective Grey Relational Analysis. The optimum process variable achieved is F1S3D3R3, i.e., 50 mm/min, 3000 rpm, TiN-coated drill bit and 9 wt% of fly ash. Copyright (C) 2022 Elsevier Ltd. All rights reserved.
引用
收藏
页码:5894 / 5898
页数:5
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