| Non-dominated sorting modified teaching–learning-based optimization for multi-objective machining of polytetrafluoroethylene (PTFE) E Natarajan, V Kaviarasan, WH Lim, SS Tiang, S Parasuraman, S Elango Journal of Intelligent Manufacturing 31 (4), 911-935, 2020 | 63 | 2020 |
| Enhanced multi-objective teaching-learning-based optimization for machining of Delrin E Natarajan, V Kaviarasan, WH Lim, SS Tiang, TH Tan IEEE Access 6, 51528-51546, 2018 | 48 | 2018 |
| Prediction of surface quality and optimization of process parameters in drilling of Delrin using neural network V Kaviarasan, R Venkatesan, E Natarajan Progress in Rubber, Plastics and Recycling Technology 35 (3), 149-169, 2019 | 37 | 2019 |
| Drilling-induced damages in hybrid carbon and glass fiber-reinforced composite laminate and optimized drilling parameters E Natarajan, K Markandan, SM Sekar, K Varadaraju, S Nesappan, ... Journal of Composites Science 6 (10), 310, 2022 | 17 | 2022 |
| Characterization techniques for nano particles: A practical top down approach to synthesize copper nano particles from copper chips and determination of its effect on planes VK S Ramesh,S Vetrivel,P Suresh Materials Today: Proceedings, 2020 | 17 | 2020 |
| Evaluation of the surface integrity in the milling of a magnesium alloy using an artificial neural network and a genetic algorithm OMZZU UMETNE, N MRE Materiallie in Technology 367, 373, 2018 | 16 | 2018 |
| Production wastage avoidance using modified multi-objective teaching learning based optimization embedded with refined learning scheme E Natarajan, V Kaviarasan, KM Ang, WH Lim, S Elango, SS Tiang IEEE Access 10, 19186-19214, 2022 | 14 | 2022 |
| Gorilla troops optimizer combined with ANFIS for wire cut EDM of aluminum alloy E Natarajan, V Kaviarasan, WH Lim, S Ramesh, K Palanikumar, T Sekar, ... Advances in Materials Science and Engineering 2022 (1), 3072663, 2022 | 13 | 2022 |
| Machining parameter optimization of polytetrafluoroethylene (PTFE) using genetic algorithm M Sanjeev Kumar, V Kaviarasan, R Venkatesan International Journal of Modern Engineering Research 2 (1), 143-149, 2012 | 11 | 2012 |
| Extreme gradient boosting regressor solution for defy in drilling of materials S Elango, E Natarajan, K Varadaraju, EM Abraham Gnanamuthu, ... Advances in Materials Science and Engineering 2022 (1), 8330144, 2022 | 7 | 2022 |
| Optimization of variable control parameters of WEDM in aluminum alloy Al 7075 using zinc coated copper wire J Shanthi, R Mohan, PR Thangavelu, MK Pradeep, V Kaviarasan TAGA J 14, 3053-3063, 2018 | 6 | 2018 |
| PTFE in Wet and Dry Drilling: Two-Tier Modeling and Optimization through ANFIS PM Sangeetha Elango, Kaviarasan Varadaraju, Elango Natarajan, Ezra Morris ... Mathematical Problems in Engineering 2022 (1), 1-10, 2022 | 5* | 2022 |
| Experimental investigation in EDM by using brass electrode with inconel 690 materials in mixed dielectric medium R Mohan, R Manivannan, V Kaviarasan, SM Sangeetha, S Prabakar Materials Today: Proceedings 37, 3747-3754, 2021 | 4 | 2021 |
| Smart Machining of Titanium Alloy Using ANN Encompassed Prediction Model and GA Optimization V Kaviarasan, S Elango, EMA Gnanamuthu, R Durairaj Futuristic Trends in Intelligent Manufacturing: Optimization and …, 2021 | 2 | 2021 |
| Cutting Temperature in Machining of TI-6AL-4V Alloy and Its Predictive Model E Natarajan, M Ramasamy, S Ramesh, CK Ang, V Kaviarasan International Conference on Green Energy, Computing and Intelligent …, 2023 | | 2023 |
| Fuzzy Interference System of Drilling Parameters for Delrin Parts S Parasuraman, BCT Yew, S Elango, I Elamvazuthi, V Kaviarasan Futuristic Trends in Intelligent Manufacturing: Optimization and …, 2021 | | 2021 |
| Selection of Wire EDM Process Parameters Using Genetic Algorithm on Machining of Titanium Alloy KS Kumar, M Sathishkumar, V Kaviarasan, R Venkatesan Indian Journal of Engineering, Science, and Technology 9 (1&2), 75, 2015 | | 2015 |
