Fuzzy logic-based expert system for prediction of depth of cut in abrasive water jet machining process PR Vundavilli, MB Parappagoudar, SP Kodali, S Benguluri Knowledge-Based Systems 27, 456-464, 2012 | 114 | 2012 |
Forward and reverse mappings in green sand mould system using neural networks MB Parappagoudar, DK Pratihar, GL Datta Applied Soft Computing 8 (1), 239-260, 2008 | 76 | 2008 |
A systematic approach to model and optimize wear behaviour of castings produced by squeeze casting process MP GC, AK Shettigar, MB Parappagoudar Journal of manufacturing processes 32, 199-212, 2018 | 66 | 2018 |
Multi-objective optimization of green sand mould system using evolutionary algorithms B Surekha, LK Kaushik, AK Panduy, PR Vundavilli, MB Parappagoudar The International Journal of Advanced Manufacturing Technology 58, 9-17, 2012 | 66 | 2012 |
Optimization of squeeze cast process parameters using Taguchi and grey relational analysis GCM Patel, P Krishna, MB Parappagoudar Procedia Technology 14, 157-164, 2014 | 64 | 2014 |
Linear and non-linear statistical modelling of green sand mould system MB Parappagoudar, DK Pratihar, GL Datta International Journal of cast metals research 20 (1), 1-13, 2007 | 63 | 2007 |
Squeeze casting process modeling by a conventional statistical regression analysis approach MP GC, P Krishna, MB Parappagoudar Applied Mathematical Modelling 40 (15-16), 6869-6888, 2016 | 62 | 2016 |
Back propagation genetic and recurrent neural network applications in modelling and analysis of squeeze casting process MP GC, AK Shettigar, P Krishna, MB Parappagoudar Applied Soft Computing 59, 418-437, 2017 | 54 | 2017 |
Non-linear modelling using central composite design to predict green sand mould properties MB Parappagoudar, DK Pratihar, GL Datta Proceedings of the Institution of Mechanical Engineers, Part B: Journal of …, 2007 | 48 | 2007 |
Modelling of squeeze casting process using design of experiments and response surface methodology M Patel GC, P Krishna, MB Parappagoudar International Journal of Cast Metals Research 28 (3), 167-180, 2015 | 44 | 2015 |
Analysis and optimization of surface quality while machining high strength aluminium alloy GCM Patel, D Lokare, GR Chate, MB Parappagoudar, R Nikhil, K Gupta Measurement 152, 107337, 2020 | 42 | 2020 |
Modelling and multi-objective optimisation of squeeze casting process using regression analysis and genetic algorithm GC Manjunath Patel, P Krishna, MB Parappagoudar Australian Journal of Mechanical Engineering 14 (3), 182-198, 2016 | 42 | 2016 |
Modeling and multi-response optimization of pressure die casting process using response surface methodology JK Kittur, MN Choudhari, MB Parappagoudar The International Journal of Advanced Manufacturing Technology 77, 211-224, 2015 | 40 | 2015 |
Neural network-based approaches for forward and reverse mappings of sodium silicate-bonded, carbon dioxide gas hardened moulding sand system MB Parappagoudar, DK Pratihar, GL Datta Materials and Manufacturing Processes 24 (1), 59-67, 2008 | 38 | 2008 |
Investigation of squeeze cast process parameters effects on secondary dendrite arm spacing using statistical regression and artificial neural network models GCM Patel, R Mathew, P Krishna, MB Parappagoudar Procedia Technology 14, 149-156, 2014 | 36 | 2014 |
An intelligent system for squeeze casting process—soft computing based approach MP GC, P Krishna, MB Parappagoudar The International Journal of Advanced Manufacturing Technology 86, 3051-3065, 2016 | 34 | 2016 |
Study of the effect of nano-silica particles on resin-bonded moulding sand properties and quality of casting GR Chate, GCM Patel, RM Kulkarni, P Vernekar, AS Deshpande, ... Silicon 10, 1921-1936, 2018 | 33 | 2018 |
Benchmarking of product recovery alternatives in reverse logistics SK Sharma, SS Mahapatra, MB Parappagoudar Benchmarking: An International Journal 23 (2), 406-424, 2016 | 32 | 2016 |
Multi-objective optimization of squeeze casting process using evolutionary algorithms MP GC, P Krishna, MB Parappagoudar, PR Vundavilli International Journal of Swarm Intelligence Research (IJSIR) 7 (1), 55-74, 2016 | 32 | 2016 |
Modeling of pressure die casting process: an artificial intelligence approach JK Kittur, GC Manjunath Patel, MB Parappagoudar International Journal of Metalcasting 10, 70-87, 2016 | 31 | 2016 |