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
Scholar Citations
Scholar h-index
Scholar i10-index
Scopus Publications
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)
Sunil Garhwal, Anil Garhwal, Shruti Sharma, Sandeep Kumar Sharma, and Anirban Banik
Springer Science and Business Media LLC
Rahul Malik, Baldev Setia, and Anirban Banik
Springer Science and Business Media LLC
Pandian Vasant, Anirban Banik, J Joshua Thomas, Jose Antonio Marmolejo-Saucedo, Ugo Fiore, and Gerhard-Wilhelm Weber
IOP Publishing
Anirban Banik, Sushant Kumar Biswal, Tarun Kanti Bandyopadhyay, Vladimir Panchenko, Sunil Garhwal, and Anil Garhwal
Springer Nature Switzerland
Sunil Garhwal, Shruti Sharma, Sandeep Kumar Sharma, Anil Garhwal, and Anirban Banik
Springer Nature Switzerland
Ashish Kumar Tiwari, Sunil Garhwal, Anil Garhwal, and Anirban Banik
Springer Nature Switzerland
A. Anton Nekrasov, Vladimir Panchenko, and Anirban Banik
Springer International Publishing
Anirban Banik, Tarun Kanti Bandyopadhyay, Sushant Kumar Biswal, Vladimir Panchenko, and Sunil Garhwal
Springer International Publishing
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.
Anirban Banik, Mrinmoy Majumder, Sushant Kumar Biswal, and Tarun Kanti Bandyopadhyay
Wiley
Pandian Vasant, Anirban Banik, J. Joshua Thomas, Jose Antonio Marmolejo-Saucedo, Timothy Ganesan, Elias Munapo, and Mukhdeep Singh Manshahia
Elsevier
Anirban Banik, Tarun Kanti Bandyopadhyay, and Vladimir Panchenko
Springer International Publishing
Anirban Banik, Mrinmoy Majumder, Sushant Kumar Biswal, and Tarun Kanti Bandyopadhyay
Springer Science and Business Media LLC
Anirban Banik, Sushant Kumar Biswal, and Tarun Kanti Bandyopadhyay
Springer Science and Business Media LLC
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.
Suman Debnath, Anirban Banik, Tarun Kanti Bandyopadhyay, Mrinmoy Majumder, and Apu Kumar Saha
Begell House
Anirban Banik, Tarun Kanti Bandyopadhyay, Sushant Kumar Biswal, and Mrinmoy Majumder
Springer International Publishing
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.
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. </P><P> 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. </P><P> 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. </P><P> 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.
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. </P><P> 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. </P><P> 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. </P><P> Conclusion: From the study, it has been found that CFD simulated results hold good agreement with the experimental values.
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.
Anirban Banik, Tarun Kanti Bandyopadhyay, and Sushant Kumar Biswal
Begell House