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A Design and Optimization Methodology for Multi-Variable Systems

Abstract Details

2015, Master of Science, Ohio State University, Mechanical Engineering.
The automotive industry has been pressured to improve fuel economy of average lightduty vehicle [1]. To combat the need for improved fuel efficiency, vehicle manufactures are researching technologies that can improve the efficiency of the internal combustion engine. While many scientific fields are being investigated, exhaust waste heat recovery is now a viable option with today’s technology. In order to produce the best possible waste heat recovery system, a design and optimization methodology needed to be produced for multivariable systems. This thesis discusses a proposed design and optimization methodology that can assist in the application of advanced systems. The original purpose of developing the design method was for an Organic Rankine Cycle exhaust gas heat recovery system for automotive applications. Several examples of the utilizing this design methodology are included in this thesis.
Marcello Canova, PhD (Advisor)
Shawn Midlam-Mohler, PhD (Committee Member)
83 p.

Recommended Citations

Citations

  • Lott, E. M. (2015). A Design and Optimization Methodology for Multi-Variable Systems [Master's thesis, Ohio State University]. OhioLINK Electronic Theses and Dissertations Center. http://rave.ohiolink.edu/etdc/view?acc_num=osu1440274138

    APA Style (7th edition)

  • Lott, Eric. A Design and Optimization Methodology for Multi-Variable Systems. 2015. Ohio State University, Master's thesis. OhioLINK Electronic Theses and Dissertations Center, http://rave.ohiolink.edu/etdc/view?acc_num=osu1440274138.

    MLA Style (8th edition)

  • Lott, Eric. "A Design and Optimization Methodology for Multi-Variable Systems." Master's thesis, Ohio State University, 2015. http://rave.ohiolink.edu/etdc/view?acc_num=osu1440274138

    Chicago Manual of Style (17th edition)