Kanak Kalita

Kanak Kalita received his B.E in mechanical engineering from RGTU, Bhopal, India; M.E and Ph.D. in aerospace engineering and applied mechanics from Indian Institute of Engineering, Science & Technology, Shibpur, India. He has over 6 years of teaching, research and industrial experience. Currently, he is with Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology, India as assistant professor in mechanical engineering department. He is on the editorial board of 2 international journals and has reviewed 170+ manuscripts for 30+ journals and conferences. He has been awarded thrice by Publons for his reviewing efforts. He has published 20 SCI and 42 SCOPUS research articles and edited 1 book volume for IOP publishing. His areas of interests include metamodeling, process optimization, finite element method and composites.

Publications

Sensitivity Analysis of GFRP Composite Drilling Parameters and Genetic Algorithm-Based Optimisation
Kanak Kalita, Ranjan Kumar Ghadai, Ankur Bansod. © 2022. 17 pages.
In this article, a genetic algorithm (GA) is used for optimizing a metamodel of surface roughness (R_a ) in drilling glass-fibre reinforced plastic (GFRP) composites. A response...
Data-Driven Optimization of Manufacturing Processes
Kanak Kalita, Ranjan Kumar Ghadai, Xiao-Zhi Gao. © 2021. 298 pages.
All machining process are dependent on a number of inherent process parameters. It is of the utmost importance to find suitable combinations to all the process parameters so that...
Minimization of Casting Defects Using Taguchi Method
Ranjan Kumar Ghadai, Ashnut Dutt, Kanak Kalita, Dinesh S. Shinde, Chayut Bunterngchit. © 2021. 12 pages.
Obtaining quality castings is of significant interest to researchers and practitioner due to the widespread use of casting components in everyday and industrial use. In this...
Evaluation of Optimum Parameters for Casting of Birla Lance Pipes
Dinesh S. Shinde, Ashnut Dutt, Ranjan Kumar Ghadai, Kanak Kalita, Amer Nasr A. Elghaffar. © 2021. 11 pages.
Defects associated with casting of pipes are often a main concern for the industry. In this chapter, a Taguchi analysis is carried out to understand the effect of three process...
Data-Driven Genetic Programming-Based Symbolic Regression Metamodels for EDM Process
Kanak Kalita, Ranjan Kumar Ghadai, Dinesh S. Shinde, Xiao-Zhi Gao. © 2021. 23 pages.
In this research, a data-driven approach to metamodeling of manufacturing/machining processes is developed. Instead of the conventionally used second-order polynomial regression...
Machine Learning-Based Predictive Modelling of Dry Electric Discharge Machining Process
Kanak Kalita, Dinesh S. Shinde, Ranjan Kumar Ghadai. © 2021. 14 pages.
The conventional methods like linear or polynomial regression, despite their overwhelming accuracy on training data, often fail to achieve the same accuracy on independent test...