K. Leo Dev Wins

Surface Roughness Prediction using Artificial Neural Network in Hard Turning of AISI H13 Steel with Minimal Cutting Fluid Application

B. Anuja Beatrice, E. Kirubakaran, P. Ranjit Jeba Thangaiah et al. · Procedia Engineering · 2014 · 70 citations · Full text

Engineering, Industrial Engineering, Surface Roughness +12

Effect of tungsten carbide, silicon carbide and graphite particulates on the mechanical and microstructural characteristics of AA 5052 hybrid composites

D. S. Ebenezer Jacob Dhas, C. Velmurugan, K. Leo Dev Wins et al. · Ceramics International · 2018 · 61 citations

Materials Science, Materials Engineering, Engineering +9

Effect of nano cupric oxide coating on the forced convection performance of a mixed-mode flat plate solar dryer

S. Sivakumar, C. Velmurugan, D. S. Ebenezer Jacob Dhas et al. · Renewable Energy · 2020 · 57 citations

Materials Science, Electrical Engineering, Engineering +6

Integrated ANN-GA Approach For Predictive Modeling And Optimization Of Grinding Parameters With Surface Roughness As The Response

Vipin Gopan, K. Leo Dev Wins, S. Arun · Materials Today Proceedings · 2018 · 34 citations

Engineering, Industrial Engineering, Surface Roughness +8

Prediction of Dry Sliding Wear Response of AlMg1SiCu/Silicon Carbide/Molybdenum Disulphide Hybrid Composites Using Adaptive Neuro-Fuzzy Inference System (ANFIS) and Response Surface Methodology (RSM)

K. Ragupathy, C. Velmurugan, D. S. Ebenezer Jacob Dhas et al. · Arabian Journal for Science and Engineering · 2021 · 32 citations

Materials Science, Engineering, Wear Testing +8