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N. Baskar

Observed names: Baskar N, Baskar N., N Baskar, N. BASKAR
ORCID: 0000-0001-7771-4755
Observed ORCID: 0000-0001-7771-4755
OpenAlex ID: A5113120933
Mechanical properties and applications of Magnesium alloy – Review
2020 · S. Jayasathyakawin, M. Ravichandran, et al. · Materials Today Proceedings · 196
Optimization of Machining Parameters for Milling Operations Using Non-conventional Methods
2004 · N. Baskar, P. Asokan, et al. · The International Journal of Advanced Manufacturing Technology · 120
Multi criteria decision making through TOPSIS and COPRAS on drilling parameters of magnesium AZ91
2021 · M. Varatharajulu, Muthukannan Duraiselvam, et al. · Journal of Magnesium and Alloys · 113
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Application of Particle Swarm Optimization technique for achieving desired milled surface roughness in minimum machining time
2011 · S. Bharathi Raja, N. Baskar · Expert Systems with Applications · 111
Particle swarm optimization technique for determining optimal machining parameters of different work piece materials in turning operation
2010 · S. Bharathi Raja, N. Baskar · The International Journal of Advanced Manufacturing Technology · 104
Ants colony algorithm approach for multi-objective optimisation of surface grinding operations
2004 · N. Baskar, R. Saravanan, et al. · The International Journal of Advanced Manufacturing Technology · 70
Selection of optimal machining parameters for multi-tool milling operations using a memetic algorithm
2006 · N. Baskar, P. Asokan, et al. · Journal of Materials Processing Technology · 63
Optimization techniques for machining operations: a retrospective research based on various mathematical models
2009 · S. Bharathi Raja, N. Baskar · The International Journal of Advanced Manufacturing Technology · 62
Optimization of Surface Grinding Operations Using Particle Swarm Optimization Technique
2005 · P. Asokan, N. Baskar, et al. · Journal of Manufacturing Science and Engineering · 40
Application of Artificial Neural Network Modeling for Machining Parameters Optimization in Drilling Operation
2014 · T. Deepan Bharathi Kannan, G. Rajesh kannan, et al. · Procedia Materials Science · 37
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Magnesium matrix composite for biomedical applications through powder metallurgy – Review
2019 · S. Jayasathyakawin, M. Ravichandran, et al. · Materials Today Proceedings · 36
Integration of fuzzy logic with response surface methodology for thrust force and surface roughness modeling of drilling on titanium alloy
2012 · B. Suresh Kumar, N. Baskar · The International Journal of Advanced Manufacturing Technology · 36
Performance of Cutting Tool with Cross-Chevron Surface Texture Filled with Green Synthesized Aluminium Oxide Nanoparticles
2019 · Sathiya Narayanan N., Baskar N., et al. · Scientific Reports · 34
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Comparison of coated and uncoated carbide drill bits for drilling titanium grade 2 material
2016 · Vijaan V, B. Suresh Kumar, et al. · Mechanika · 31
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Drilling operation: A review
2019 · B. Suresh Kumar, N. Baskar, et al. · Materials Today Proceedings · 27
A hybrid approach for minimizing makespan in permutation flowshop scheduling
2016 · Kannan Govindan, R. Balasundaram, et al. · Journal of Systems Science and Systems Engineering · 22
Evaluation of desirability function approach and grey relation analysis for modeling circularity, perpendicularity and cylindricity in drilling magnesium AZ31
2020 · M Varatharajulu, R Shahithya, et al. · Proceedings of the Institution of Mechanical Engineers Part E Journal of Process Mechanical Engineering · 19
Comparison of Multi Point Incremental Forming Tool with Single Point Incremental Forming Tool Using FLD, Fractography and 3D-Surface Roughness Analysis on Cr/Mn/Ni/Si Based Stainless Steel
2020 · K. Ramkumar, N. Baskar, et al. · Silicon · 19
Implementation of supervised statistical data mining algorithm for single machine scheduling
2012 · S. Premalatha, N. Baskar · Journal of Advances in Management Research · 19
Performance analysis of non-traditional algorithmic parameters in machining operation
2014 · R. Gayatri, N. Baskar · The International Journal of Advanced Manufacturing Technology · 17
Multi Objective Optimization of machining parameters for Hard Turning OHNS/AISI H13 material, Using Genetic Algorithm
2018 · N. Sathiya Narayanan, N. Baskar, et al. · Materials Today Proceedings · 15
Genetic Algorithm-assisted Artificial Neural Network for the Estimation of Drilling Parameters of Magnesium Az91 in Vertical Milling Machine
2020 · M. VARATHARAJULU, G. JAYAPRAKASH, et al. · Surface Review and Letters · 14
Evaluation and Optimization of Surface Roughness and Metal Removal Rate Through RSM, GRA, and TOPSIS Techniques in Turning PTFE Polymers
2019 · N. Sathiya Narayanan, N. Baskar, et al. · Lecture notes in mechanical engineering · 13
Modeling and Optimization of Face Milling Operation Based on Response Surface Methodology and Genetic Algorithm
2013 · N. Baskar · 13
Experimental investigation and multi objective optimisation of Duplex 2304 drilling operation using evolutionary algorithm
2018 · M. Varatharajulu, G. Jayaprakash, et al. · International Journal of Manufacturing Technology and Management · 12
Works count: 74
Citation count: 1,363
H-index: 19
I10-index: 27
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