Anirban banik

@nitsikkim.ac.in

Assistant Professor, Department of Civil Engineering
National Institute of Technology Sikkim

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)

RESEARCH INTERESTS

Hydro-Informatics, Soft Computing, Computational Fluid Dynamics

Scopus Publications

157

Scholar Citations

Scholar h-index

Scholar i10-index

Scopus Publications

A multi-approach study on CO<inf>2</inf> 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, and Suraj K Tripathy
Elsevier BV

Monitoring and Restrengthening of Real Sized Corroded RC Beams with Acoustic Emission Technique and GFRP Sheets
Sunil Garhwal, Anil Garhwal, Shruti Sharma, Sandeep Kumar Sharma, and Anirban Banik
Springer Science and Business Media LLC

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,et al.
American Chemical Society (ACS)

Mechanism of Scouring Around Group of Bridge Piers in Tandem Arrangement
Rahul Malik, Baldev Setia, and Anirban Banik
Springer Science and Business Media LLC

Bio-inspired approaches for a combined economic emission dispatch problem
Pandian Vasant, Anirban Banik, J Joshua Thomas, Jose Antonio Marmolejo-Saucedo, Ugo Fiore, and Gerhard-Wilhelm Weber
IOP Publishing

Investigation of Hydrodynamic Behaviour in Rectangular Sheet Shaped Membrane Using Computational Fluid Dynamics (CFD)
Anirban Banik, Sushant Kumar Biswal, Tarun Kanti Bandyopadhyay, Vladimir Panchenko, Sunil Garhwal, and Anil Garhwal
Springer Nature Switzerland

Re-strengthening of Real Sized RC Beams Subjected to Corrosion Using Glass Fiber Reinforced Polymer Sheets
Sunil Garhwal, Shruti Sharma, Sandeep Kumar Sharma, Anil Garhwal, and Anirban Banik
Springer Nature Switzerland

Inhibition Performance of Generic Compounds as Corrosion Inhibitor in Combined Chloride and Carbonation Environment
Ashish Kumar Tiwari, Sunil Garhwal, Anil Garhwal, and Anirban Banik
Springer Nature Switzerland

Integrated Method for Operational Diagnostics of Functional Status of Electric Motors in Agriculture
A. Anton Nekrasov, Vladimir Panchenko, and Anirban Banik
Springer International Publishing

Comparative Performance Assessment of Multi Linear Regression and Artificial Neural Network for Prediction of Permeate Flux of Disc Shaped Membrane
Anirban Banik, Tarun Kanti Bandyopadhyay, Sushant Kumar Biswal, Vladimir Panchenko, and Sunil Garhwal
Springer International Publishing

Grey wolf optimizer for optimal sizing of hybrid wind and solar renewable energy system
Diriba Kajela Geleta, Mukhdeep Singh Manshahia, Pandian Vasant, and Anirban Banik
Wiley
By taking facts such as oil depletion, increasing number of population and energy demand into account, alternative electric generation scheme called renewable energy has entered into a new phase. These new energy sources are environmentally clean, exhaustible and friendly with affordable cost, and high reliability. Nowadays, energy generators such as photovoltaic (PV), wind turbine (WT), and geothermal energies are among the commonly used renewable sources. In this article, grey wolf optimization (GWO) methodology is proposed for minimizing the total annual cost of hybrid of wind and solar renewable energy system. Here, determining the optimal number of solar panels, WTs, and batteries which can satisfy the desired load is the main objective of this research. The obtained result shows that the proposed methodology finds optimal solution of sizing of the hybrid system with relatively lower total annual cost and fast convergence rate. To check whether the obtained result was feasible, GWO results are compared with the results of PSO, iteration method and by the work of other scholars in literature. Here the superior capabilities of GWO algorithm have been seen. It is hoped that this research would be beneficial and can be benchmark for researchers of the field.

Application of group method of data handling-based neural network (GMDH-NN) for forecasting permeate flux (%) of disc-shaped membrane
Anirban Banik, Mrinmoy Majumder, Sushant Kumar Biswal, and Tarun Kanti Bandyopadhyay
Wiley

Swarm-based intelligent strategies for charging plug-in hybrid electric vehicles
Pandian Vasant, Anirban Banik, J. Joshua Thomas, Jose Antonio Marmolejo-Saucedo, Timothy Ganesan, Elias Munapo, and Mukhdeep Singh Manshahia
Elsevier

Comparative Study of Blood Flow Through Normal, Stenosis Affected and Bypass Grafted Artery Using Computational Fluid Dynamics
Anirban Banik, Tarun Kanti Bandyopadhyay, and Vladimir Panchenko
Springer International Publishing

Polynomial neural network-based group method of data handling algorithm coupled with modified particle swarm optimization to predict permeate flux (%) of rectangular sheet-shaped membrane
Anirban Banik, Mrinmoy Majumder, Sushant Kumar Biswal, and Tarun Kanti Bandyopadhyay
Springer Science and Business Media LLC

Predicting the optimum operating parameters and hydrodynamic behavior of rectangular sheet membrane using response surface methodology coupled with computational fluid dynamics
Anirban Banik, Sushant Kumar Biswal, and Tarun Kanti Bandyopadhyay
Springer Science and Business Media LLC

Development of box behnken design to predict the optimum operating condition of rectangular sheet membrane to increase permeate flux
Anirban Banik, Sushant Kumar Biswal, and Tarun Kanti Bandyopadhyay
IGI Global
The chapter focuses on the implementation of Box Behnken Design (BBD) to increase permeate flux of rectangular sheet membrane. Box Behnken Design (BBD) was used to optimize the membrane operation by predicting the optimum conditions. The factors such as operating pressure, feed velocity, and pore size were selected as the input of the model. The study illustrates the optimum conditions of operating pressure, feed velocity, and pore size, which was found to be 14.5Pa, 0.179 m/s, and 0.59µm respectively. Analysis of variance was used to identify the significant terms in the model equation. The effect of input parameters on the model output evaluated using Pareto analysis. It shows that operating pressure is the most significant parameter in the developed model. The BBD predicted results follow the actual results with high accuracy.

Estimation of pressure drop for non-Newtonian liquid flow through bends using adaptive non-parametric model
Suman Debnath, Anirban Banik, Tarun Kanti Bandyopadhyay, Mrinmoy Majumder, and Apu Kumar Saha
Begell House

Prediction of Maximum Efficiency of Vertical Helical Coil Membrane Using Group Method of Data Handling (GMDH) Algorithm
Anirban Banik, Tarun Kanti Bandyopadhyay, Sushant Kumar Biswal, and Mrinmoy Majumder
Springer International Publishing

Prediction of maximum permeate flux (%) of disc membrane using response surface methodology (rsm)
Anirban Banik, Suman Dutta, Tarun Kanti Bandyopadhyay, and Sushant Kumar Biswal
Canadian Science Publishing
The paper investigates increasing permeate flux (%) of the disc membrane which can improve the quality of rubber industrial effluent of Tripura. Response surface methodology was used to optimize the independent influencing parameters to improve the permeate flux. The effect of different influencing parameters like operating pressure, membrane pore size, and inlet feed velocity on membrane permeate flux were studied to determine the optimum operating conditions within the predefined boundary. The experiments were pre-planned and designed according to central composite rotatable design, and second-order polynomial regression model was developed for regression and analysis of variance study. Results show the membrane has maximum permeate flux (%) when the operating pressure is 14.50 Pa, pore size is 0.20 μm, and inlet feed velocity is 2.10 m/s. The Pareto analysis in the study established that the inlet velocity was the most influential parameter in the model equation.

CFD and optimization study of frictional pressure drop through bends
Suman Debnath, Anirban Banik, Tarun Kanti Bandyopadhyay, and Apu Kumar Saha
Bentham Science Publishers Ltd.
Background: The non-Newtonian pseudoplastic liquid flow through different types of the bend is more complicated compared to the simple straight pipe as the bends are associated with various curve geometry. Bends have wide application in bioengineering, biotechnology and biomedical such as study biofluids, blood rheology study, the design of medical equipment like equipment measuring the cholesterol etc. Method: The papers deal with the estimation of loss coefficient and frictional pressure drop of Newtonian and non-Newtonian pseudoplastic fluid flow through the different bend of 0.0127 m diameter pipe geometry using commercially available CFD software fluent 6.3. We revised all patents relating to the pipe flow through different types of bend. The present study also deals with the efficient application of Genetic Algorithm (GA) for optimization of frictional pressure drop. Laminar Non-Newtonian Power law model is used for Sodium Carboxy Methyl Cellulose (SCMC) solution to solve the continuity and the momentum equations numerically. Generalized input-output correlation has been developed by Gene Expression Programming (GEP) using Matlab. Results: The above-mentioned algorithm is used to predict and optimize the pressure drop. It has been found that, the process exhibit the minimum pressure drop across the bend under optimum condition (Angle = 133.160, Concentration = 0.2 Kg/m3 and velocity = 0.53 m/s). The effect of flow rate, bend angle, fluid behaviour on static pressure and pressure drop has also been investigated. Conclusion: From the study, it can be concluded that the developed GA model has a good agreement with the CFD model. The software predicted data might be used to solve various industrial problems and also to design different equipment.

Computational fluid dynamics (CFD) simulation of cross-flow mode operation of membrane for downstream processing
Anirban Banik, Tarun Kanti Bandyopadhyay, and Sushant Kumar Biswal
Bentham Science Publishers Ltd.
Background: Membrane filtration process produced good quality of permeate flux due to which it is used in different industries like dairy, pharmaceutical, sugar, starch and sweetener industry, bioseparation, purification of biomedical materials, and downstream polishing etc. The cross-flow mode of operation has also been used to improve the quality of the Rubber Industrial effluent of Tripura, India. Method: The Computational Fluid Dynamics (CFD) simulation of the cross-flow membrane is done by using ANSYS Fluent 6.3. The meshing of the geometry of the membrane is done by Gambit 2.4.6 and a grid size of 100674, the number of faces is 151651 and number of nodes being 50978 has been selected for the simulation purpose from the grid independence test. We have revised and included all patents in the manuscripts related to the membrane filtration unit. Results: Single phase Pressure-Velocity coupled Simple Algorithm and laminar model is used for the simulation of the developed model and Fluent 6.3 used for the prediction of pressure, pressure drop, flow phenomena, wall shear stress and shear strain rate inside the module is studied for cross flow membrane. Conclusion: From the study, it has been found that CFD simulated results hold good agreement with the experimental values.

Simulation of single phase non-Newtonian flow characteristics of heavy crude oil through horizontal pipelines
Ravindra Kumar, Shirsendu Banerjee, Anirban Banik, Tarun Kanti Bandyopadhyay, and Tarun Kumar Naiya
Informa UK Limited
ABSTRACT The effect of diameter, velocity, and temperature on flow properties of heavy crude oil in three horizontal pipelines using computational fluid dynamics (CFD) was studied. The flow characteristics were simulated by using CFD software, ANSYS Fluent 6.2. The mesh geometry of the pipelines having inner diameter of 1, 1.5, and 2 inch were created by using Gambit 2.4.6. From grid independent study, 221, 365 mesh sizes were selected for simulation. The CFD ANSYS Fluent 6.2 Solver predicted the flow phenomena, pressure, pressure drop, wall shear stress, shear strain rate, and friction factor. A good agreement between experimental and CFD simulated values was obtained.

Computational fluid dynamics simulation of disc membrane used for improving the quality of effluent produced by the rubber industry
Anirban Banik, Tarun Kanti Bandyopadhyay, and Sushant Kumar Biswal
Begell House

RECENT SCHOLAR PUBLICATIONS

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 2024

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

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

Re-strengthening of Real Sized RC Beams Subjected to Corrosion Using Glass Fiber Reinforced Polymer Sheets
S Garhwal, S Sharma, SK Sharma, A Garhwal, A Banik
Intelligent Computing and Optimization: Proceedings of the 6th International 2024

Check for updates
AK Tiwari, S Garhwal, A Garhwal, A Banik
Intelligent Computing and Optimization: Proceedings of the 6th International 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

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

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

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

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

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

Pre-Clinical Validation of Volumetric Modulated Arc Therapy Based Total Bone Marrow Irradiation in Halcyon (TM) Ring Gantry Linear Accelerator
B Sarkar, T Shahid, S Mondal, S Biswal, A De, M Mukherjee, ...
MEDICAL PHYSICS 49 (6), E929-E929 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

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

Computational Intelligence for Supply Chains
P Vasant, GW Weber, E Munapo, A Banik
De Gruyter 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

Comparative Study of Blood Flow Through Normal, Stenosis Affected and Bypass Grafted Artery Using Computational Fluid Dynamics
A Banik, TK Bandyopadhyay, V Panchenko
Intelligent Computing & Optimization: Proceedings of the 4th International 2022

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, 79-97 2022

Modeling of Bilateral Photoreceiver of the Concentrator Photovoltaic Thermal
A Banik
Intelligent Computing and Optimization: Proceedings of the 3rd International 2021

Modeling and Simulation of Rectangular Sheet Membrane Using Computational Fluid Dynamics (CFD)
A Banik, SK Biswal, TK Bandyopadhyay, V Panchenko, JJ Thomas
Intelligent Computing and Optimization: Proceedings of the 3rd International 2021

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
Citations: 39

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
Citations: 16

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
Citations: 13

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
Citations: 12

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
Citations: 10

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
Citations: 10

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
Citations: 9

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
Citations: 8

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
Citations: 7

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
Citations: 5

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
Citations: 3

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
Citations: 2

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
Intelligent Computing and Optimization: Proceedings of the 2nd International 2020
Citations: 2