S
S. Balaji
Researcher at Carnegie Mellon University
Publications - 17
Citations - 321
S. Balaji is an academic researcher from Carnegie Mellon University. The author has contributed to research in topics: Oxide & Heat exchanger. The author has an hindex of 9, co-authored 16 publications receiving 296 citations. Previous affiliations of S. Balaji include National University of Singapore.
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Silicon solar cell production
TL;DR: The complete production process for solar cells is described, challenges relevant to systems engineering are highlighted, and overviews work in three distinct areas: the application of real time optimization in silicon production, the development of scale-up models for a fluidized bed poly-silicon process and a new process concept for silicon wafer production.
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Multi-scale modeling and control of fluidized beds for the production of solar grade silicon ☆
TL;DR: In this paper, a multi-scale model to describe the growth of silicon particles due to chemical vapor deposition (CVD) in a fluidized bed reactor (FBR) is developed.
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Improved Design of Microchannel Plate Geometry for Uniform Flow Distribution
S. Balaji,S. Lakshminarayanan +1 more
TL;DR: In this paper, a two-dimensional model has been constructed to study the flow distribution along the microchannels for various plate geometries of a micro heat exchanger, and a novel micro heat exchange configuration to achieve uniform flow distribution under all operating conditions has been proposed, modelled and tested.
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Repetitive model predictive control of a reverse flow reactor
TL;DR: In this article, a novel repetitive model predictive control (RMPC) strategy, that combines the basic concepts of iterative learning control (ILC) and repetitive control (RC) along with the concepts of MPC, is proposed for such systems.
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Invariant based modeling and control of multi-phase reactor systems ☆
TL;DR: In this article, the authors propose a modeling framework for stable simulation of multi-phase reactor systems operating at thermodynamic equilibrium, which can be used to determine system characteristics, explore parameter sensitivity and test control system strategies.