Debangsu Bhattacharyya

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This paper discusses the modeling of a solid oxide fuel cell using both lumped and distributed modeling approaches. In particular, the focus of this paper is on the development of a computationally efficient lumped-parameter model for real-time emulation and control. The performance of this model is compared with a detailed distributed model and(More)
In order to investigate the mechanical properties of particulate reinforced polyethylene when using rotational moulding process, different mathematical models are used to predict the tensile properties. A series of micro-sized particles at various volume fractions are used as fillers for Liner MediumDensity Polyethylene (LMDPE) to verify those theoretical(More)
Advanced multiscale modeling and simulation have the potential to dramatically reduce the time and cost to develop new carbon capture technologies. The Carbon Capture Simulation Initiative is a partnership among national laboratories, industry, and universities that is developing, demonstrating, and deploying a suite of such tools, including basic data(More)
Solid Oxide Fuel Cells (SOFCs) are high temperature fuel cells with a strong potential for stationary power house applications. However, considerable challenges are to be overcome to connect these cells to the power grid. The cells have to satisfy the changing demand of the grid without sacrificing their efficiencies and without causing any structural or(More)
Nanofiltration (NF) and reverse osmosis (RO) are well-established membrane technologies for applications involving aqueous streams. The principles of NF transport (diffusion, convection, and Donnan exclusion) are effectively used to develop novel membrane materials and applications in aqueous medium. Use of NF in a non-aqueous medium holds strong potential(More)
Magnetron sputtered thin films of Cu, Nb, and Cu-Nb multilayers with 2.5 and 5 nm nominal layer thickness were deposited on Si and implanted with 4He+ and 3He+ ions. Secondary ion mass spectroscopy and nuclear reaction analysis, respectively, were used to measure the 4He+ and 3He+ concentration profile with depth inside the films. Cross-sectional(More)
In this paper, we propose a new systematic methodology to identify dynamic changes in the connectivity among various equipment items in a process plant. Drawing analogy to neurological systems, the paper develops a framework to obtain dynamic causal model to capture the intrinsic and stimulus-driven connectivity among equipment items. An expectation(More)