Dr. Anirban Banik obtained his doctoral degree in Engineering and Master of Technology in Civil Engineering from the National Institute of Technology, Agartala, India. He worked as an Assistant Professor at the National Institute of Technology Sikkim, India. He has published several highly indexed journal papers, conference papers, and book chapters. He has also served as an editorial board member and technical programme committee member of international journals and conferences, respectively. He also served as a peer reviewer for several journals, including IEEE Transactions on Fuzzy Systems, Water Conservation Science and Engineering, International Journal of Energy Optimization and Engineering, and Civil Engineering and Environmental Systems.
EDUCATION
PhD (National Institute of Technology Agartala)
M.Tech (National Institute of Technology Agartala)
BE (RTM Nagpur University)
A multi-approach study on CO2 absorption in packed beds: Theoretical, experimental, and CFD perspectives on gas phase pulsation Chaturmukha Pattnaik, Ramesh Kumar, Moonis Ali Khan, Pallabi Pahari, Anirban Banik, Byong-Hun Jeon, Shirsendu Banerjee, Sankha Chakrabortty, Suraj K Tripathy Journal of Industrial and Engineering Chemistry, 2025 • Regular packed column for CO2-NaOH system was fabricated. • Mass transfer is increased by gas phase pulsing to increase CO 2 absorption. • Optimum pulsation amplitude, frequency, liquid flow rates impacts are analysed. • Glass spheres, Raschig rings, and Pall rings have been investigated under different situations. • Computational Fluid Dynamics was used to substantiate the results. This work seeks to improve CO 2 absorption efficiency in packed bed columns by substituting amine-based solvents with sodium hydroxide and implementing gas phase pulsation to enhance mass transfer coefficients. Experimental analysis and computational fluid dynamics modeling were employed to investigate the impact of pulsation on absorption efficiency under various conditions. Essential parameters comprised superficial liquid velocity (1.2–4.6 cm/s), pulsation frequency (0–10 Hz), amplitude (0–20 mm), and NaOH concentration (0.25 N to 2 N), while maintaining a constant superficial gas velocity of 120 cm/s and a solute gas concentration of 13 %. Three packing materials—glass spheres, ceramic Raschig rings, and ceramic Pall rings—were evaluated. The results demonstrated that ceramic Pall rings exhibited the greatest efficiency. Pulsation, namely at 9.06 Hz and 20 mm amplitude, enhanced the volumetric mass transfer coefficient by as much as 4.53 times for Pall rings. Increased column diameters (from 7.00 cm to 11.5 cm) enhanced performance. The findings show advancement of more efficient CO 2 absorption (by switching from chemical absorption using amine based solvents to classical chemical absorption using aqueous NaOH solution) for industrial applications, aiding climate change mitigation initiatives.
Two-Phase Crude Oil-Water Flow Through Different Pipes: An Experimental Investigation Coupled with Computational Fluid Dynamics Approach Shirsendu Banerjee, Anirban Banik, Vinay Kumar Rajak, Tarun Kanti Bandyopadhyay, Jayato Nayak, Michał Jasinski, Ramesh Kumar, Byong-Hun Jeon, Masoom Raza Siddiqui, Moonis Ali Khan, Sankha Chakrabortty, Suraj K. Tripathy ACS Omega, 2024 The present study deals with two-phase non-Newtonian pseudoplastic crude oil and water flow inside horizontal pipes simulated by ANSYS. The study helps predict velocity and velocity profiles, as well as pressure drop during two-phase crude-oil-water flow, without complex calculations. Computational fluid dynamics (CFD) analysis will be very important in reducing the experimental cost and the effort of data acquisition. Three independent horizontal stainless steel pipes (SS-304) with inner diameters of 1 in., 1.5 in., and 2 in. were used to circulate crude oil with 5, 10, and 15% v/v water for simulation purposes. The entire length of the pipes, along with their surfaces, were insulated to reduce heat loss. A grid size of 221,365 was selected as the optimal grid. Two-phase flow phenomena, pressure drop calculations, shear stress on the walls, along with the rate of shear strain, and phase analysis were studied. Moreover, velocity changes from the wall to the center, causing a velocity gradient and shear strain rate, but at the center, no velocity variation (velocity gradient) was observed between the layers of the fluid. The precision of the simulation was investigated using three error parameters, such as mean square error, Nash-Sutcliffe efficiency, and RMSE-standard deviation of observation ratio. From the simulation, it was found that CFD analysis holds good agreement with experimental results. The uncertainty analysis demonstrated that our CFD model is helpful in predicting the rheological parameters very accurately. The study aids in identifying and predicting fluid flow phenomena inside horizontal straight pipes in a very effective way.
Bio-inspired approaches for a combined economic emission dispatch problem Pandian Vasant, Anirban Banik, J Joshua Thomas, Jose Antonio Marmolejo-Saucedo, Ugo Fiore, Gerhard-Wilhelm Weber Human Assisted Intelligent Computing Modelling Simulations and Applications, 2023 In chapter 3, economic load dispatch (ELD) and emission dispatch problems are optimized separately using particle swarm optimization, quantum-inspired particle swarm optimization, and quantum-inspired bat algorithm for the various numbers of units. Later, both objectives are assumed simultaneously as an optimization problem with multiple objectives. The emission dispatch problem is divided into three independent objectives to minimize SO<sub>2</sub>, NO<sub><i>X</i></sub> and CO<sub>2</sub> emissions. Thus, the combined economic emission dispatch (CEED) problem is an optimization problem with four objectives. A unit-wise price penalty factor was assumed to change over all the targets into a single target. The idea is to attain a balanced trade-off between secured and profitable energy choices while maintaining a healthy and sound environment. The quantum computing phenomenon was integrated with swarm intelligence-based particle swarm optimization (PSO) and bat algorithm (BA) to make them computationally more powerful and robust. The results obtained from quantum-inspired bat algorithm (QBA) and quantum particle swarm optimization (QPSO) to solve the CEED problem contrasted with other existing techniques such as Lagrangian relaxation, PSO, and simulated annealing.
A multi-approach study on CO2 absorption in packed beds: Theoretical, experimental, and CFD perspectives on gas phase pulsation C Pattnaik, R Kumar, MA Khan, P Pahari, A Banik, BH Jeon, S Banerjee, ... Journal of Industrial and Engineering Chemistry 146, 641-655 , 2025 2025 Citations: 8
Monitoring and restrengthening of real sized corroded RC beams with acoustic emission technique and GFRP sheets S Garhwal, A Garhwal, S Sharma, SK Sharma, A Banik Transactions of the Indian Institute of Metals 77 (5), 1443-1454 , 2024 2024 Citations: 3
Two-Phase Crude Oil–Water Flow Through Different Pipes: An Experimental Investigation Coupled with Computational Fluid Dynamics Approach S Banerjee, A Banik, VK Rajak, TK Bandyopadhyay, J Nayak, M Jasinski, ... ACS omega 9 (10), 11181-11193 , 2024 2024 Citations: 7
Re-strengthening of Real Sized RC Beams Subjected to Corrosion Using Glass Fiber Reinforced Polymer Sheets S Garhwal¹, S Sharma, SK Sharma, A Garhwal, A Banik Intelligent Computing and Optimization: Proceedings of the 6th International … , 2024 2024
Inhibition Performance of Generic Compounds AKTS Garhwal, A Garhwal, A Banik Intelligent Computing and Optimization: Proceedings of the 6th International … , 2023 2023
Mechanism of scouring around group of bridge piers in tandem arrangement R Malik, B Setia, A Banik Journal of The Institution of Engineers (India): Series A 104 (3), 633-642 , 2023 2023 Citations: 5
Investigation of Hydrodynamic Behaviour in Rectangular Sheet Shaped Membrane Using Computational Fluid Dynamics (CFD) A Banik, SK Biswal, TK Bandyopadhyay, V Panchenko, S Garhwal, ... International Conference on Intelligent Computing & Optimization, 170-180 , 2023 2023
Inhibition Performance of Generic Compounds as Corrosion Inhibitor in Combined Chloride and Carbonation Environment AK Tiwari, S Garhwal, A Garhwal, A Banik International Conference on Intelligent Computing & Optimization, 270-278 , 2023 2023
Bio-inspired approaches for a combined economic emission dispatch problem P Vasant, A Banik, JJ Thomas, JA Marmolejo-Saucedo, U Fiore, ... Human-Assisted Intelligent Computing: Modeling, simulations and applications … , 2023 2023 Citations: 3
Comparative performance assessment of multi linear regression and artificial neural network for prediction of permeate flux of disc shaped membrane A Banik, TK Bandyopadhyay, SK Biswal, V Panchenko, S Garhwal International Conference on Intelligent Computing & Optimization, 24-33 , 2022 2022 Citations: 4
Integrated Method for Operational Diagnostics of Functional Status of Electric Motors in Agriculture AA Nekrasov, V Panchenko, A Banik International Conference on Intelligent Computing & Optimization, 800-808 , 2022 2022
Grey wolf optimizer for optimal sizing of hybrid wind and solar renewable energy system DK Geleta, MS Manshahia, P Vasant, A Banik Computational intelligence 38 (3), 1133-1162 , 2022 2022 Citations: 51
Application of Group Method of Data Handling–Based Neural Network (GMDH‐NN) for Forecasting Permeate Flux (%) of Disc‐Shaped Membrane A Banik, M Majumder, SK Biswal, TK Bandyopadhyay Handbook of Intelligent Computing and Optimization for Sustainable … , 2022 2022 Citations: 1
Computational Intelligence for Supply Chains P Vasant, GW Weber, E Munapo, A Banik De Gruyter , 2022 2022
Swarm-based intelligent strategies for charging plug-in hybrid electric vehicles P Vasant, A Banik, JJ Thomas, JA Marmolejo-Saucedo, T Ganesan, ... Advances of Artificial Intelligence in a green energy environment, 347-374 , 2022 2022 Citations: 7
Polynomial neural network-based group method of data handling algorithm coupled with modified particle swarm optimization to predict permeate flux (%) of rectangular sheet … A Banik, M Majumder, SK Biswal, TK Bandyopadhyay Chemical Papers 76 (1), 79-97 , 2022 2022 Citations: 5
Comparative Study of Blood Flow Through Normal, Stenosis Affected and Bypass Grafted Artery Using Computational Fluid Dynamics A Banik, TK Bandyopadhyay, V Panchenko International Conference on Intelligent Computing & Optimization, 503-512 , 2021 2021 Citations: 1
Modeling of Bilateral Photoreceiver of the Concentrator Photovoltaic Thermal A Banik Intelligent Computing and Optimization: Proceedings of the 3rd International … , 2021 2021
Modeling and Simulation of Rectangular Sheet Membrane Using Computational Fluid Dynamics (CFD) A Banik, SK Biswal, TK Bandyopadhyay, V Panchenko, JJ Thomas International Conference on Intelligent Computing & Optimization, 345-356 , 2020 2020
Modeling of Bilateral Photoreceiver of the Concentrator Photovoltaic Thermal Module V Panchenko, S Chirskiy, A Kovalev, A Banik International Conference on Intelligent Computing & Optimization, 73-83 , 2020 2020 Citations: 1
MOST CITED SCHOLAR PUBLICATIONS
Grey wolf optimizer for optimal sizing of hybrid wind and solar renewable energy system DK Geleta, MS Manshahia, P Vasant, A Banik Computational intelligence 38 (3), 1133-1162 , 2022 2022 Citations: 51
Simulation of single phase non-Newtonian flow characteristics of heavy crude oil through horizontal pipelines R Kumar, S Banerjee, A Banik, TK Bandyopadhyay, TK Naiya Petroleum Science and Technology 35 (6), 615-624 , 2017 2017 Citations: 20
Prediction of maximum permeate flux (%) of disc membrane using response surface methodology (RSM) A Banik, S Dutta, TK Bandyopadhyay, SK Biswal Canadian Journal of Civil Engineering 46 (6), 299-307 , 2019 2019 Citations: 15
Well placement optimization using firefly algorithm and crow search algorithm J Islam, P Vasant, BM Negash, A Gupta, J Watada, A Banik Journal of Advanced Engineering and Computation 4 (3), 181-195 , 2020 2020 Citations: 11
Predicting the optimum operating parameters and hydrodynamic behavior of rectangular sheet membrane using response surface methodology coupled with computational fluid dynamics A Banik, SK Biswal, TK Bandyopadhyay Chemical Papers 74, 2977–2990 , 2020 2020 Citations: 11
Computational fluid dynamics (CFD) simulation of cross-flow mode operation of membrane for downstream processing A Banik, TK Bandyopadhyay, SK Biswal Recent patents on biotechnology 13 (1), 57-68 , 2019 2019 Citations: 11
CFD simulation of Disc membrane used for improving the quality of effluent produced by the rubber industry A Banik, T Bandyopadhyay, SK Biswal International Journal of Fluid Mechanics Research 44 (6), 499-512 , 2017 2017 Citations: 11
A multi-approach study on CO2 absorption in packed beds: Theoretical, experimental, and CFD perspectives on gas phase pulsation C Pattnaik, R Kumar, MA Khan, P Pahari, A Banik, BH Jeon, S Banerjee, ... Journal of Industrial and Engineering Chemistry 146, 641-655 , 2025 2025 Citations: 8
Development of Box Behnken Design to predict optimum operating condition of rectangular sheet membrane to increase permeate flux A. Banik, S.K. Biswal, T.K. Bandyopadhyay Handbook of Research on Smart Technology Models for Business and Industry … , 2020 2020 Citations: 8
Two-Phase Crude Oil–Water Flow Through Different Pipes: An Experimental Investigation Coupled with Computational Fluid Dynamics Approach S Banerjee, A Banik, VK Rajak, TK Bandyopadhyay, J Nayak, M Jasinski, ... ACS omega 9 (10), 11181-11193 , 2024 2024 Citations: 7
Swarm-based intelligent strategies for charging plug-in hybrid electric vehicles P Vasant, A Banik, JJ Thomas, JA Marmolejo-Saucedo, T Ganesan, ... Advances of Artificial Intelligence in a green energy environment, 347-374 , 2022 2022 Citations: 7
Development of an Adaptive non-parametric model for estimating maximum efficiency of Disc membrane A. Banik, T. K. Bandyopadhyay, S. K. Biswal, M. Majumder International Journal of Convergence Computing 3 (1), 3-19 , 2018 2018 Citations: 7
Mechanism of scouring around group of bridge piers in tandem arrangement R Malik, B Setia, A Banik Journal of The Institution of Engineers (India): Series A 104 (3), 633-642 , 2023 2023 Citations: 5
Polynomial neural network-based group method of data handling algorithm coupled with modified particle swarm optimization to predict permeate flux (%) of rectangular sheet … A Banik, M Majumder, SK Biswal, TK Bandyopadhyay Chemical Papers 76 (1), 79-97 , 2022 2022 Citations: 5
Comparative performance assessment of multi linear regression and artificial neural network for prediction of permeate flux of disc shaped membrane A Banik, TK Bandyopadhyay, SK Biswal, V Panchenko, S Garhwal International Conference on Intelligent Computing & Optimization, 24-33 , 2022 2022 Citations: 4
CFD and optimization study of frictional pressure drop through bends S Debnath, A Banik, TK Bandyopadhyay, AK Saha Recent Patents on Biotechnology 13 (1), 74-86 , 2019 2019 Citations: 4
Monitoring and restrengthening of real sized corroded RC beams with acoustic emission technique and GFRP sheets S Garhwal, A Garhwal, S Sharma, SK Sharma, A Banik Transactions of the Indian Institute of Metals 77 (5), 1443-1454 , 2024 2024 Citations: 3
Bio-inspired approaches for a combined economic emission dispatch problem P Vasant, A Banik, JJ Thomas, JA Marmolejo-Saucedo, U Fiore, ... Human-Assisted Intelligent Computing: Modeling, simulations and applications … , 2023 2023 Citations: 3
Estimation of pressure drop for Non-Newtonian liquid flow through bends using Adaptive non-parametric model S Debnath, A Banik, TK Bandyopadhyay, M Majumder, AK Saha International Journal of Fluid Mechanics Research 47 (1), 59-69 , 2020 2020 Citations: 3
Prediction of maximum efficiency of vertical helical coil membrane using group method of data handling (GMDH) algorithm A Banik, TK Bandyopadhyay, SK Biswal, M Majumder International Conference on Intelligent Computing & Optimization, 489-500 , 2019 2019 Citations: 2