Sarat Kumar Sahoo

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Publications (10)

• Experimental Investigation and Multi-Objective Optimization of Die sink EDM Process Parameters on Inconel-625 alloy by using Utility Function Approach
  Materials Today: Proceedings 2020 DOI: 10.1016/J.MATPR.2020.04.412
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• Analysis and optimization of wire edm process of titanium by using gra methodology
  Materials Science Forum 2019 DOI: 10.4028/www.scientific.net/MSF.969.678
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• Experimental Analysis of Wire EDM Process Parameters for Micromachining of High Carbon High Chromium Steel by Using MOORA Technique
  Micro and Nano Machining of Engineering Materials: Recent Developments 2019 DOI: 10.1007/978-3-319-99900-5_7
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• Optimisation of WEDM process parameters during machining of HCHCr steel using TOPSIS method
  International Journal of Process Management and Benchmarking 2019 DOI: 10.1504/IJPMB.2019.099332
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• Multi response optimization of Nd:YAG laser micro drilling characteristics of 304 stainless steel using desirability function approach
  Materials Today: Proceedings 2018 DOI: 10.1016/j.matpr.2018.06.248
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• Electro Discharge Machining of Ti-Alloy (Ti6Al4V) and 316L Stainless Steel and Optimization of Process Parameters by Grey Relational Analysis (GRA) Method
  Advances in 3D Printing & Additive Manufacturing Technologies 2016 DOI: 10.1007/978-981-10-0812-2_6
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• Electro discharge machining of ti-alloy (Ti6Al4V) and 316L stainless steel and optimization of process parameters by grey relational analysis (GRA) method
  Advances in 3D Printing and Additive Manufacturing Technologies 2016 DOI: 10.1007/978-981-10-0812-2_6
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• Foot step power generation
  International Journal of Mechanical Engineering and Technology 2016
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• Multi-response Optimization of Nd:YAG Laser for Micro-drilling of 304 Stainless Steel Using Grey Relational Analysis
  Advances in 3D Printing & Additive Manufacturing Technologies 2016 DOI: 10.1007/978-981-10-0812-2_9
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• Multi-response optimization of Nd: Yag laser for micro-drilling of 304 stainless steel using grey relational analysis
  Advances in 3D Printing and Additive Manufacturing Technologies 2016 DOI: 10.1007/978-981-10-0812-2_9
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