Surface roughness prediction using artificial neural network in hard turning of AISI H13 steel with minimal cutting fluid application BA Beatrice, E Kirubakaran, PRJ Thangaiah, KLD Wins Procedia Engineering 97, 205-211, 2014 | 92 | 2014 |
Optimization of cutting parameters and fluid application parameters during turning of OHNS steel RDJ Johnson, KLD Wins, A Raj, BA Beatrice Procedia Engineering 97, 172-177, 2014 | 41 | 2014 |
Knowledge Acquisition and Storing Learning Objects for a learning repository to enhance E-Iearning Categories of Knowledge Learning the ontology V2-235 BA Beatrice, E Kirubakaran, V Saravanan 2010 2nd International Conforence on Education Technology and Computer …, 2010 | 8 | 2010 |
Effect of machining parameters on cutting force during dry milling of 2205 DSS and 2507 SDSS materials P George, KLD Wins, DSEJ Dhas, P George, BA Beatrice Materials Today: Proceedings, 2021 | 7 | 2021 |
Influence of B4C and TiB2 nanoparticles in tungsten inert gas weldment: The development of nanocomposite filler re-melt behaviour for joint strength enhancement S Ramani, KLD Wins, DSEJ Dhas, BA Beatrice Materials Today: Proceedings, 2021 | 3 | 2021 |
Knowledge acquisition and storing learning objects for a learning repository to enhance E-learning BA Beatrice, E Kirubakaran, V Saravanan Education Technology and Computer (ICETC), 2010 2nd International Conference …, 2010 | 2 | 2010 |
ARTIFICIAL NEURAL NETWORK AND PARTICLE SWARM OPTIMIZATION HYBRID INTELLIGENCE FOR PREDICTING CUTTING FORCE DURING HARD TURNING OF H13 TOOL STEEL WITH MINIMAL CUTTING FLUID … BA BEATRICE, E KIRUBAKARAN, K WINS | 2* | |
Artificial Neural Network and Genetic Algorithm-Based Models for Predicting Cutting Force in Turning of Hardened H13 Steel KLD Wins, BA Beatrice, DSEJ Dhas, VSA Sofia Trends in Manufacturing and Engineering Management, 627-635, 2021 | 1 | 2021 |
KNOWLEDGE ACQUISITION AND REPRESENTATION USING ONTOLOGY BASED META DATA FOR STORING RESOURCES IN REPOSITORY TO ENHANCE E-LEARNING. BB Anuja, E Kirubakaran, V Saravanan eLearning & Software for Education, 2010 | | 2010 |