Multi-objective optimization of cutting parameters to minimize power consumption in dry turning of stainless steel 316

Author:

Bagaber Salem Abdullah,Yusoff Ahmed Razlan

Funder

Universiti Malaysia Pahang

Publisher

Elsevier BV

Subject

Industrial and Manufacturing Engineering,Strategy and Management,General Environmental Science,Renewable Energy, Sustainability and the Environment

Reference38 articles.

1. Surface roughness modeling using RSM for HSLA steel by coated carbide tools;Azam;Int. J. Adv. Manuf. Technol.,2015

2. Statistical analysis of AISI304 austenitic stainless steel machining using Ti(C, N)/Al2O3/TiN CVD coated carbide tool;Berkani;Int. J. Ind. Eng. Comput.,2015

3. Response surface methodology (RSM) as a tool for optimization in analytical chemistry;Bezerra;Talanta,2008

4. Optimization of cutting parameters for minimizing power consumption and maximizing tool life during machining of Al alloy SiC particle composites;Bhushan;J. Clean. Prod.,2013

5. On the experimental attainment of optimum conditions;Box;J. Roy. Stat. Soc.,1951

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