Coupling of Chemical Kinetics with Computational Fluid Dynamics in a Three-Dimensional Engine Model

Mazi, Hassan A.

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https://hdl.handle.net/2142/14669 Copy

Description

Title

Coupling of Chemical Kinetics with Computational Fluid Dynamics in a Three-Dimensional Engine Model

Author(s)

Mazi, Hassan A.

Issue Date

2010-01-06T16:20:54Z

Director of Research (if dissertation) or Advisor (if thesis)

Lee, Chia-Fon

Department of Study

Mechanical Sci & Engineering

Discipline

Mechanical Engineering

Degree Granting Institution

University of Illinois at Urbana-Champaign

Degree Name

M.S.

Degree Level

Thesis

Keyword(s)

• Multidimensional engine
• Computational fluid dynamics (CFD)
• KIVA
• Detailed chemical kinetics
• CHEMKIN
• Integrated coupled model

Abstract

The role of computer modeling has grown recently to integrate itself as an inseparable tool to experimental studies for the optimization of automotive engines and the development of future fuels. Traditionally, computer models rely on simplified global reaction steps to simulate the combustion and pollutant formation inside the internal combustion engine. With the current interest in advanced combustion modes and injection strategies, this approach depends on arbitrary adjustment of model parameters that could reduce credibility of the predictions. The purpose of this study is to enhance the combustion model of KIVA, a computational fluid dynamics code, by coupling its fluid mechanics solution with detailed kinetic reactions solved by the chemistry solver, CHEMKIN. As a result, an engine-friendly reaction mechanism for n-heptane was selected to simulate diesel oxidation. Each cell in the computational domain is considered as a perfectly-stirred reactor which undergoes adiabatic constant- volume combustion. The model was applied to an ideally-prepared homogeneous- charge compression-ignition combustion (HCCI) and direct injection (DI) diesel combustion. Ignition and combustion results show that the code successfully simulates the premixed HCCI scenario when compared to traditional combustion models. Direct injection cases, on the other hand, do not offer a reliable prediction mainly due to the lack of turbulent-mixing model, inherent in the perfectly-stirred reactor formulation. In addition, the model is sensitive to intake conditions and experimental uncertainties which require implementation of enhanced predictive tools. It is recommended that future improvements consider turbulent-mixing effects as well as optimization techniques to accurately simulate actual in-cylinder process with reduced computational cost. Furthermore, the model requires the extension of existing fuel oxidation mechanisms to include pollutant formation kinetics for emission control studies.

Graduation Semester

2009-12

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http://hdl.handle.net/2142/14669

Copyright and License Information

Copyright 2009 Hassan A. Mazi

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