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A System Dynamics Modeling Methodology for Compressible Fluid Systems with Applications to Internal Combustion Engines

Follen, Kenneth
http://rave.ohiolink.edu/etdc/view?acc_num=osu1281971505

Abstract Details

2010, Doctor of Philosophy, Ohio State University, Mechanical Engineering.
The ability to develop physically consistent lumped-parameter models of compressible flow systems is a relevant and important aspect of designing control strategies for energy conversion systems. Such models can lead to a better system-level understanding of internal combustion engines, turbomachinery, fuel cell systems, Heat Ventilation and Air Conditioning (HVAC) and refrigeration systems. Furthermore, the models may be used for control systems development, optimization and validation leading to better performance and lower development costs. While improvements in computing technology have made it possible to use Computational Fluid Dynamic (CFD) simulations in a wide range of applications, 3-D and 1-D codes are not immediately useful in the design of control algorithms due to their complexity and high computational cost. However, the prediction of unsteady phenomena, particularly the characterization of pressure, temperature, velocity and flow rate at different locations of the system, is critical for several applications, ranging from design, and optimization, to control and diagnostics. The focus of the current research is to fill the void between the high-fidelity numerical simulation models originating from partial differential equations, and low-fidelity, control-oriented empirical models based on lumped parameter approximations such as are used today in industrial applications. The outcome of the research includes two novel approaches for modeling compressible fluid systems for dynamic systems applications. The two methodologies have been developed to retain a high level of fidelity while preserving the simple structure and limited computation time of lumped-parameter models. The two approaches have been validated against a combination of experimental, analytical and high fidelity simulation results. The results validate that the two modeling techniques enable accurate, computationally efficient models suitable for control systems applications.
Giorgio Rizzoni (Advisor)
Yann Guezennec (Committee Member)
Steve Yurkovich (Committee Member)
Junmin Wang (Committee Member)
Marcello Canova (Committee Member)
Shawn Midlam-Mohler (Committee Member)
255 p.
Engineering
engine; modeling; control; system dynamics

Recommended Citations

Citations

  • Follen, K. (2010). A System Dynamics Modeling Methodology for Compressible Fluid Systems with Applications to Internal Combustion Engines [Doctoral dissertation, Ohio State University]. OhioLINK Electronic Theses and Dissertations Center. http://rave.ohiolink.edu/etdc/view?acc_num=osu1281971505

    APA Style (7th edition)

  • Follen, Kenneth. A System Dynamics Modeling Methodology for Compressible Fluid Systems with Applications to Internal Combustion Engines. 2010. Ohio State University, Doctoral dissertation. OhioLINK Electronic Theses and Dissertations Center, http://rave.ohiolink.edu/etdc/view?acc_num=osu1281971505.

    MLA Style (8th edition)

  • Follen, Kenneth. "A System Dynamics Modeling Methodology for Compressible Fluid Systems with Applications to Internal Combustion Engines." Doctoral dissertation, Ohio State University, 2010. http://rave.ohiolink.edu/etdc/view?acc_num=osu1281971505

    Chicago Manual of Style (17th edition)

osu1281971505
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© 2010, all rights reserved.
This open access ETD is published by The Ohio State University and OhioLINK.