G. Shanmugasundar

A Comparative Study of Linear, Random Forest and AdaBoost Regressions for Modeling Non-Traditional Machining

G. Shanmugasundar, M. Vanitha, Róbert Čep et al. · Processes · 2021 · 161 citations · Full text

Engineering, Machine Learning, Industrial Engineering +18

Application of MEREC in Multi-Criteria Selection of Optimal Spray-Painting Robot

G. Shanmugasundar, Gaurav Sapkota, Róbert Čep et al. · Processes · 2022 · 78 citations · Full text

Search Optimization, Engineering, Industrial Engineering +12

Structural Optimization of an Five Degrees of Freedom (T-3R-T) Robot Manipultor Using Finite Element Analysis

G. Shanmugasundar, R. Sivaramakrishnan, S. Meganathan et al. · Materials Today Proceedings · 2019 · 39 citations

Robot Kinematics, Engineering, Mechanical Engineering +6

Design, analysis and topology optimization of connecting rod

G. Shanmugasundar, M. Dharanidharan, D. Vishwa et al. · Materials Today Proceedings · 2021 · 35 citations

Engineering, Mechanical Engineering, Structural Topology +6

Optimization of Process Parameters in TIG Welded Joints of AISI 304L -Austenitic Stainless Steel using Taguchi’s Experimental Design Method

G. Shanmugasundar, B. Karthikeyan, P. Santhosh Ponvell et al. · Materials Today Proceedings · 2019 · 34 citations

Materials Science, Engineering, Process Parameters +6