Dissertation/Thesis Abstract

Application of Genetic Algorithm Optimization of Thermodynamic Fluids Designs
by Yobby, Jason, M.S., Southern Illinois University at Edwardsville, 2017, 63; 10606518
Abstract (Summary)

Several engineering problems exist that require optimization. Most design cases on paper are usually one or two dimensional and are used in theoretical approaches to design problems. Here, the genetic algorithm based optimization will be applied to real world thermo-fluidic applications, optimization of cooling fin parameters for an internal combustion engine and dollar cost optimization of a high bypass ratio turbofan engine component improvements with specified flight constraints. The time study of the optimization of the second case is also presented to show the significant reduction of computation time from other methods when high degrees of freedom are required in computations.

Indexing (document details)
Advisor: Yan, Terry X.
Commitee: Darabi, Jafar, Molki, Majid
School: Southern Illinois University at Edwardsville
Department: Mechanical and Industrial Engineering
School Location: United States -- Illinois
Source: MAI 57/01M(E), Masters Abstracts International
Subjects: Engineering, Mechanical engineering
Keywords: Algorithm, Genetic, Optimization, System
Publication Number: 10606518
ISBN: 978-0-355-35732-5
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