Multi objective optimization of cutting parameters of end milling operation by Taguchi GreyRelational analysis (TGRA)

被引:0
|
作者
Shilpa Sahare [1 ]
Prashant Kamble [1 ]
Jayant Giri [1 ]
Neeraj Sunheriya [1 ]
T. Sathish [2 ]
Rajkumar Chadge [1 ]
A. Parthiban [3 ]
机构
[1] Yeshwantrao Chavan College of Engineering,Department of Mechanical Engineering
[2] SIMATS,Saveetha School of Engineering
[3] Vels Institute of Science,Department of Mechanical Engineering
[4] Technology and Advanced Studies (VISTAS),undefined
关键词
Grey relational analysis; ANOVA; Material removal rate; Optimization;
D O I
10.1007/s10751-024-02119-1
中图分类号
学科分类号
摘要
This study proposes an ideal milling process parameter setup for multi-responses. Due of this problem, Grey relational analysis with Taguchi approach is used. These approaches helped determine ideal machining conditions to improve surface roughness, material removal rate, cutting force, and tool wear. Compare results from wet and minimal amount lubrication studies. Further multiple flow rates of Minimum Quantity Lubrication were tested to find the “best” setting. The best gray relational analysis setting is used in tests with varied minimal Quantity Lubrication flow rates. ANOVA for MPCI showed that depth of cut affects several performance factors the most, followed by spindle speed, feed, tool diameter, and tool type. The response table and S/N ratio main effect plot show that 1500 rpm spindle speed, 0.5 mm depth of cut, 550 mm/min feed, 12 mm end mill cutter with coated (PVD), and minimal amount lubrication are the ideal machining settings. After experimenting with minimum amount lubricating flow rates, 80 ml/hr is the ideal setting. Finally, experimentation tests conformance.
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