Multiple Response Optimization of machining parameters on turning of AA 6063 T6 aluminum alloy which established on Taguchi L9 orthogonal array coupled with Grey relational analysis

Authors

  • D. S. Sai Ravi Kiran  Assistant Professor, Department of Mechanical Engineering, Anil Neerukonda Institute of Technology & Sciences, Visakhapatnam, Andhra Pradesh, India
  • Sanapala Sri Ram  B Tech. , Department of Mechanical Engineering, Anil Neerukonda Institute of Technology & Sciences, Visakhapatnam, Andhra Pradesh, India
  • Tangeti Bhaskararao  B Tech. , Department of Mechanical Engineering, Anil Neerukonda Institute of Technology & Sciences, Visakhapatnam, Andhra Pradesh, India
  • Boddu Eswar Venkat Sai  B Tech. , Department of Mechanical Engineering, Anil Neerukonda Institute of Technology & Sciences, Visakhapatnam, Andhra Pradesh, India
  • Kari Suraj Kumar  B Tech. , Department of Mechanical Engineering, Anil Neerukonda Institute of Technology & Sciences, Visakhapatnam, Andhra Pradesh, India
  • Duvvi Veera Venkata Pavan Kumar  B Tech. , Department of Mechanical Engineering, Anil Neerukonda Institute of Technology & Sciences, Visakhapatnam, Andhra Pradesh, India

DOI:

https://doi.org/10.32628/IJSRST2183205

Keywords:

Material Removal Rate, ANOVA, Taguchi Method, Grey Relation Analysis, S/N ratio

Abstract

With numerous responses established on Taguchi L9, orthogonal array coupled with current work proposes a novel methodology for optimizing machining parameters on turning of AA 6063 T6 aluminum alloy. Experimental assessments are accomplished on AA 6063 T6 aluminum alloy. Turning trails are carried out under dry cutting conditions using an uncoated carbide insert. Cutting parameters such as cutting speed, feed rate, and depth of cut are optimized in this effort while numerous responses such as surface roughness(Ra) and material removal rate are taken into consideration (MRR). From the grey analysis, a grey relational grade(GRG) is calculated. The optimal amounts of parameters have been identified based on the values of grey relational grade, and then ANOVA is used to determine the significant influence of parameters. To authenticate the test result, a confirmation test is executed. The result of the experiments shows that by using this method. the turning process responses can be significantly improved.

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International Journal of Scientific Research in Science and Technology

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Published

2021-06-30

Issue

Volume 8, Issue 3, May-June-2021

Section

Research Articles

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How to Cite

[1]
D. S. Sai Ravi Kiran, Sanapala Sri Ram, Tangeti Bhaskararao, Boddu Eswar Venkat Sai, Kari Suraj Kumar, Duvvi Veera Venkata Pavan Kumar "Multiple Response Optimization of machining parameters on turning of AA 6063 T6 aluminum alloy which established on Taguchi L9 orthogonal array coupled with Grey relational analysis" International Journal of Scientific Research in Science and Technology(IJSRST), Online ISSN : 2395-602X, Print ISSN : 2395-6011,Volume 8, Issue 3, pp.974-982, May-June-2021. Available at doi : https://doi.org/10.32628/IJSRST2183205