Please use this identifier to cite or link to this item: http://hdl.handle.net/10266/1304
Title: Optimization of Gas Turbine Cycle Using Optimization Technique
Authors: Kumar, Prince
Supervisor: Sharma, Sumeet
Keywords: Gas Turbine Cycle;Optimization Technique
Issue Date: 15-Oct-2010
Abstract: The present work is aimed to see the potentiality of optimization techniques in determination of cycle configuration of a gas turbine. The work is devoted to analyses and optimization of simple and sophisticated cycles of gas turbine engines to obtain the optimum design point in accordance with the demand of maximum thermal efficiency or maximum specific output. The optimization of criteria such as thermal efficiency and specific output can be formulated as a Neuro-Fuzzy Problem. The solution of this Neuro-Fuzzy problem has been obtained with the help of Adaptive Neuro Fuzzy Inference System (ANFIS) in Matlab software. This technique is used for solving constrained optimization problems with objective and constraint function. The gas turbine system is divided into a number of sub-systems and operating state is expressed by design variables that govern such system. The results obtained are quite satisfactory. ANFIS is quite accurate, efficient and fast. The results obtained are compared with those obtained by multiplier method to establish the validity of optimization procedure.
Description: M.E. (CAD/CAM and Robotics)
URI: http://hdl.handle.net/10266/1304
Appears in Collections:Masters Theses@MED

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