Experimental investigation and parametric optimization of a milling process using multi-criteria decision making methods: a comparative analysis
Kanak Kalita(Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology), Ranjan Kumar Ghadai(Manipal Academy of Higher Education), S. Madhu(Saveetha University), M Ramachandran(Birla Institute of Technology and Science, Pilani), Shankar Chakraborty(Jadavpur University)
International Journal on Interactive Design and Manufacturing (IJIDeM)
July 19, 2022
Cited by 41
Related Papers
A Comparative Study of Linear, Random Forest and AdaBoost Regressions for Modeling Non-Traditional Machining
|Processes|2021|172
Random Forest Regression-Based Machine Learning Model for Accurate Estimation of Fluid Flow in Curved Pipes
|Processes|2021|128
Machine Learning-Based Predictive Modelling of Biodiesel Production—A Comparative Perspective
|Energies|2021|109
Efficient Feature Selection Using Weighted Superposition Attraction Optimization Algorithm
|Applied Sciences|2023|106
A SWARA-CoCoSo-Based Approach for Spray Painting Robot Selection
|Informatica|2021|86