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RESEARCH |
Modeling & Optimization of Industrial Processes
Modeling and multi-objective optimization of key industrial processes employing industrial data, detailed kinetic schemes, important objectives and practical constraints are being studied to identify a range of optimal conditions for producing valuable products economically. First principles and data-based models, process simulators such as Aspen Plus and genetic algorithm-based multi-objective optimization method are used. Works in progress include multi-objective optimization of hydrocrackers, polymerization reactors and bio-reactors.
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Global Optimization of Chemical & Bio Systems
Global optimization is essential for achieving the most out of a system and for finding the correct solution of certain applications. Our group has analyzed stochastic methods such as genetic algorithms, differential evolution and taboo search for benchmark and chemical engineering applications. A new stochastic method is developed to achieve both reliability and computational efficiency in finding the global optimum. It is being applied to both chemical and bio systems.
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Modeling & Control of Physiological Processes
Process systems engineering (PSE) has significant potential for medical applications to enhance patient treatment with less supervision from the medical personnel. Recognizing this, our group has been investigating modeling and control of blood glucose in diabetics and blood pressure in post-cardiac surgery patients. Results show that the performance of the PID controller, contrary to the expectation, is superior to advanced controllers. Further work on these and other biomedical applications of PSE is in progress.
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Process Simulation & Plant-Wide Control
Plant-wide control perspective is essential to address the challenges in controlling chemical processes with material and energy recycles. We developed an integrated frame-work for plant-wide control and successfully applied it to selected processes. One key feature of this frame-work is vertical integration of heuristics and process simulators in the design procedure. Further work on enhancing the integrated frame-work and evaluating plant-wide control systems is in progress.
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SELECTED PUBLICATIONS |
Teh Y.S. and G.P. Rangaiah, “Tabu Search for Global Optimization of Continuous Functions with Application to Phase Equilibrium Calculations”, Computers and Chemical Engineering, 27, 1665 (2003). |
Ramprasad Y., G P Rangaiah and S Lakshminarayanan, “Robust PID Controller for Blood Glucose Regulation in Type I Diabetics”, Industrial & Engineering Chemistry Research, 43, 8257 (2004). |
Tarafder A., G.P. Rangaiah and A.K. Ray, “Multiobjective Optimization of an Industrial Styrene Monomer Manufacturing Process”, Chemical Engineering Science, 60, 347 (2005). |
Goradia D.B., S. Lakshminarayanan and G.P. Rangaiah, “Attainment of PI Achievable Performance for Linear SISO Processes with Dead Time by Iterative Tuning”, Can. J. Chemical Engineering, 83, 723 (2005). |
Murthy Konda N.V.S.N., G.P. Rangaiah and P.R. Krishnaswamy, “Plant-Wide Control of Industrial Processes: An Integrated Framework of Simulation and Heuristics”, Industrial and Engineering Chemistry Research, 44, 8300 (2005). |
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