K. Leo Dev Wins - Concepedia

Author

K. Leo Dev Wins

Karunya University

Also Known As

K Leo Dev Wins, K. L. D. Wins, K. Leo Dev Wins, K.L.D. Wins, K.L.Dev. Wins, Leo Dev Wins K

Publications

642

Citations

H-Index

Concepts

All Affiliations

Karunya University

About

K. Leo Dev Wins is an author at Karunya University specializing in engineering, mechanical engineering, and materials science.

Top Concepts

#	Concept	H-Index	Publications	Citations
1	Engineering	12	14	406
2	Industrial Engineering	7	7	189
3	Materials Engineering	3	3	87
4	Civil Engineering	1	1	70
5	Electrical Engineering	1	1	57

K. Leo Dev Wins

Publications

417

Citations

H-Index

Page 1

	Year	Citations
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, Procedia Engineering EngineeringIndustrial EngineeringSurface RoughnessAnn ModelMechanical Engineering	2014	70
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, Ceramics International Materials ScienceMaterials EngineeringEngineeringParticulate ReinforcementMechanical Properties	2018	61
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, Renewable Energy Materials ScienceElectrical EngineeringEngineeringNatural ConvectionHeat Transfer	2020	57
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 EngineeringIndustrial EngineeringSurface RoughnessMaterial MachiningMechanical Engineering	2018	34
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, Arabian Journal for Science and Engineering Materials ScienceEngineeringWear TestingResponse Surface MethodologyMechanical Engineering	2021	32
Investigations on the Effect of Tungsten Carbide and Graphite Reinforcements during Spark Erosion Machining of Aluminium Alloy (AA 5052) Hybrid Composite D. S. Ebenezer Jacob Dhas, C. Velmurugan, K. Leo Dev Wins Silicon Materials ScienceHybrid CompositeEngineeringPowder MetallurgySpark Erosion Machining	2018	30
Quantitative Analysis of Grinding Wheel Loading Using Image Processing Vipin Gopan, K. Leo Dev Wins Procedia Technology Image AnalysisEngineeringIndustrial EngineeringTool WearMechanical Engineering	2016	20
Experimental Investigation for the Multi-objective Optimization of Machining Parameters on AISI D2 Steel Using Particle Swarm Optimization Coupled with Artificial Neural Network Vipin Gopan, K. Leo Dev Wins, Gecil Evangeline, Journal of Advanced Manufacturing Systems Materials ScienceEngineeringIndustrial EngineeringMaterial MachiningTool Wear	2020	19
Artificial Neural Network Assisted Sensor Fusion Model for Predicting Surface Roughness During Hard Turning of H13 Steel with Minimal Cutting Fluid Application J. Gerald Anto Arulraj, K. Leo Dev Wins, Anil Raj Procedia Materials Science EngineeringMachine LearningH13 SteelIndustrial EngineeringMechanical Engineering	2014	18
Optimization of Cutting Parameters and Fluid Application Parameters during Turning of OHNS Steel R. Deepak Joel Johnson, K. Leo Dev Wins, Anil Raj, Procedia Engineering EngineeringIndustrial EngineeringCorrosionMaterial MachiningMechanical Engineering	2014	17

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