Optimization of SiC Abrasive Parameters on Machining of Ti-6Al-4V Alloy in AJM Using Taguchi-Grey Relational Method

被引:0
|
作者
Saravanan K
Francis Xavier J
Sudeshkumar M.P
T. Maridurai
Vijayananth Suyamburajan
V. Jayaseelan
机构
[1] Sri Venkateswara Institute of Science and Technology,Department of Mechanical Engineering
[2] VIT Bhopal University,School of Mechanical Engineering
[3] Shreenivasa Engineering College,Department of Mechanical Engineering
[4] Saveetha School of Engineering,Department of Mechanical Engineering
[5] SIMATS,Department of Mechanical Engineering
[6] VELS Institute of Science Technology and Advanced Studies,Department of Mechanical Engineering
[7] Prathyusha Engineering College,undefined
来源
Silicon | 2022年 / 14卷
关键词
AJM; Taguchi; Abrasive size; Abrasive flow rate; MRR; Surface roughness;
D O I
暂无
中图分类号
学科分类号
摘要
In this research, multi response Taguchi-grey relational approach was employed to optimize the machining parameters of Ti-6Al-4V alloy in abrasive water jet process. The main aim of this present investigation was to explicate the role of adding SiC super hard ceramic into the garnet and to find out the optimal input variable, which is influencing the material removal rate and surface finish in the process. The specific input variables such as SiC volume, SiC size and abrasive flow rate were accounted as potential process variables for this present investigation. It is observed that the SiC along with garnet improves the material removal rate. According to the analysis the SiC addition of 0.5 wt.%, SiC size of 80mesh and abrasive flow rate of 2 g/s (A2B1C1) was found to be producing MRR of 48.81 mm3/s and lower surface roughness of 3.72 μm. From study the particle size was the most influential parameter for producing high MRR with low surface roughness. The confirmation study reveals the improvement of 1.91% in MRR and surface roughness on comparing with predicted mean value.
引用
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页码:997 / 1004
页数:7
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