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- 저자 : Soumya Bandyopadhyay (검색결과 3 건)
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Comparison of Optimized Chargepads for Wireless EV Charging Application
Soumya Bandyopadhyay,Jianning Dong,Zian Qin,Pavol Bauer 전력전자학회 2019 ICPE(ISPE)논문집 Vol.2019 No.5
Inductive power transfer (IPT) is becoming increasingly popular in stationary electric vehicle charging systems. In this paper, the influence of the different IPT coupler geometries on the performance factors efficiency, power density, misalignment tolerance, and stray field is studied. Five different coupler topologies namely the circular, rectangular, double-D (DDDD) and the double-D transmitter with double-D-Quadrature receiver (DD-DDQ) are considered in this study. The electromagnetic behavior of the couplers is modeled using three-dimensional finite element analysis. To ensure a fair quantitative comparison, a multi-objective optimization framework is developed to analyze the Pareto trade-offs between conflicting performance metrics like power densities, efficiencies, and misalignment tolerance for all the considered coupler topologies.
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Sudhansu Sandhibigraha,Soumya Sasmal,Tarun Kanti Bandyopadhyay,Biswanath Bhunia 대한환경공학회 2020 Environmental Engineering Research Vol.25 No.6
The computational fluid dynamics (CFD) simulation of the packed bed reactor (PBR) was carried out using ANSYS Fluent software. The various process parameters, such as inlet concentration of 4-chlorophenol (4-CP), flow rate, bed height, and porosity, were optimized to predict maximum biodegradation of 4-CP in immobilized catalyzed PBR. The geometrical mesh of the PBR was constructed using Gambit software, and a mesh size of 236995 was selected from the grid-independent study. A laminar flow model was used to understand the hydrodynamics as well as concentration profile of 4-CP inside the PBR using Fluent software. Through CFD, the effect of the flow rate, inlet concentration, and the bed height and porosity of the immobilized catalyst bed on the static pressure, mass imbalance, velocity, and stress-strain field inside the PBR was visualized. CFD simulation study predicted that maximum biodegradation of 4-CP was found in the presence of 500 mg/L of inlet concentration of 4-CP, 4 mL/min of flow rate, 18 cm of bed height and 0.375 of porosity. An experimental study was conducted for wastewater flow through the B. subtilis MF447840.1 immobilized catalyzed PBR to remove the 4-CP in the laminar flow region. It was evident that CFD simulated results agreed well with experimental values.
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Brick kiln detection in remote sensing imagery using deep neural network and change analysis
Arati Paul,Soumya Bandyopadhyay,Uday Raj 대한공간정보학회 2022 Spatial Information Research Vol.30 No.5
Brick kiln is a furnace in which bricks are baked or burnt. Brick kiln is generally an unorganized industry which is increasing in numbers with time to meet the demand of growing urbanization and infrastructure development. The emission of gaseous and particulate pollutants from brick kilns adversely affects soil, plants, animals and people in the surroundings. Hence, Brick kilns need to be closely monitored by local administrations to implement industry regulations. In order to overcome the limitations of manual survey, in present study, a deep neural network (DNN) based approach is envisaged in detecting brick kilns in high resolution remote sensing images. Three architectures of convolutional neural networks (CNNs) are compared and the most suitable one with 0.99 detection precision is used for analysis. The DNN based model can precisely detect brick kilns in heterogeneous images. It is successfully applied in analyzing both positive and negative changes with respect to presence of brick kilns. The experimental results demonstrate the effectiveness of DNN based model for brick kiln detection and monitoring in high resolution remote sensing imagery.
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