Optimization of machining parameters for milling operations using non-conventional methods N Baskar, P Asokan, G Prabhaharan, R Saravanan The International Journal of Advanced Manufacturing Technology 25, 1078-1088, 2005 | 178 | 2005 |
Mechanical properties and applications of Magnesium alloy–Review S Jayasathyakawin, M Ravichandran, N Baskar, CA Chairman, ... Materials Today: Proceedings 27, 909-913, 2020 | 165 | 2020 |
Application of particle swarm optimization technique for achieving desired milled surface roughness in minimum machining time SB Raja, N Baskar Expert Systems with Applications 39 (5), 5982-5989, 2012 | 151 | 2012 |
Particle swarm optimization technique for determining optimal machining parameters of different work piece materials in turning operation S Bharathi Raja, N Baskar The International Journal of Advanced Manufacturing Technology 54, 445-463, 2011 | 132 | 2011 |
Optimization techniques for machining operations: a retrospective research based on various mathematical models S Bharathi Raja, N Baskar The International Journal of Advanced Manufacturing Technology 48, 1075-1090, 2010 | 93 | 2010 |
Selection of optimal machining parameters for multi-tool milling operations using a memetic algorithm N Baskar, P Asokan, R Saravanan, G Prabhaharan Journal of Materials processing technology 174 (1-3), 239-249, 2006 | 93 | 2006 |
Multi criteria decision making through TOPSIS and COPRAS on drilling parameters of magnesium AZ91 M Varatharajulu, M Duraiselvam, MB Kumar, G Jayaprakash, N Baskar Journal of Magnesium and Alloys 10 (10), 2857-2874, 2022 | 92 | 2022 |
Ants colony algorithm approach for multi-objective optimisation of surface grinding operations N Baskar, R Saravanan, P Asokan, G Prabhaharan The International Journal of Advanced Manufacturing Technology 23, 311-317, 2004 | 80 | 2004 |
Optimization of surface grinding operations using particle swarm optimization technique P Asokan, N Baskar, K Babu, G Prabhaharan, R Saravanan | 50 | 2005 |
Burr Dimension Analysis on Various Materials for Convenantionally and CNC Drilled Holes. BS Kumar, V Vijayan, N Baskar Mechanics & Mechanical Engineering 20 (3), 2016 | 47 | 2016 |
Application of artificial neural network modeling for machining parameters optimization in drilling operation TDB Kannan, BS Kumar, N Baskar Procedia Materials Science 5, 2242-2249, 2014 | 47 | 2014 |
Magnesium matrix composite for biomedical applications through powder metallurgy–Review S Jayasathyakawin, M Ravichandran, N Baskar, CA Chairman, ... Materials Today: Proceedings 27, 736-741, 2020 | 45 | 2020 |
Integration of fuzzy logic with response surface methodology for thrust force and surface roughness modeling of drilling on titanium alloy BS Kumar, N Baskar The International Journal of Advanced Manufacturing Technology 65 (9), 1501-1514, 2013 | 42 | 2013 |
Comparison of coated and uncoated carbide drill bits for drilling titanium grade 2 material V Vijaan, BS Kumar, N Baskar Mechanics 22 (6), 571-575, 2016 | 36 | 2016 |
A hybrid approach for minimizing makespan in permutation flowshop scheduling K Govindan, R Balasundaram, N Baskar, P Asokan Journal of systems science and systems Engineering 26, 50-76, 2017 | 25 | 2017 |
Implementation of supervised statistical data mining algorithm for single machine scheduling S Premalatha, N Baskar Journal of Advances in Management Research 9 (2), 170-177, 2012 | 23 | 2012 |
Multi objective optimization of machining parameters for hard turning OHNS/AISI H13 material, using genetic algorithm NS Narayanan, N Baskar, M Ganesan Materials Today: Proceedings 5 (2), 6897-6905, 2018 | 22 | 2018 |
A new approach to generate dispatching rules for two machine flow shop scheduling using data mining R Balasundaram, N Baskar, RS Sankar Procedia Engineering 38, 238-245, 2012 | 22 | 2012 |
Drilling operation: A review BS Kumar, N Baskar, K Rajaguru Materials Today: Proceedings 21, 926-933, 2020 | 21 | 2020 |
Performance analysis of non-traditional algorithmic parameters in machining operation R Gayatri, N Baskar The International Journal of Advanced Manufacturing Technology 77, 443-460, 2015 | 19 | 2015 |