2026-09-23T00:35:29Z https://www.ideals.illinois.edu/oai-pmh

oai:www.ideals.illinois.edu:2142/14669 2023-07-10 col_2142_5131 col_2142_14787 com_2142_5130 com_2142_9630 com_2142_234

Lee, Chia-Fon Mazi, Hassan A. 2010-01-06T16:20:54Z 2010-01-06T16:20:54Z 2010-01-06T16:20:54Z 2009-12 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. Item withdrawn by Mark Zulauf (zulauf@illinois.edu) on 2009-12-10T16:56:33Z Item was in collections: University of Illinois Theses & Dissertations (ID: 1) No. of bitstreams: 2 Mazi_Hassan.docx: 4333613 bytes, checksum: d9f4b50f5497c125ddfd69e04cb05c4a (MD5) Mazi_Hassan.pdf: 2903243 bytes, checksum: 5e9bc169458cb5ba53a6c75450eb0023 (MD5) Made available in DSpace on 2010-01-06T16:20:54Z (GMT). No. of bitstreams: 4 Mazi_Hassan.docx: 4333238 bytes, checksum: a77773841bedae6cc6140b8edc76fa0d (MD5) Mazi_Hassan.pdf: 2903243 bytes, checksum: 5e9bc169458cb5ba53a6c75450eb0023 (MD5) license.txt: 4059 bytes, checksum: d143e60e86cb64a0721aec6de6412304 (MD5) 1_Mazi_Hassan.pdf: 2902832 bytes, checksum: 88db3d296da5c5b66942b935d7af3282 (MD5) http://hdl.handle.net/2142/14669 en Copyright 2009 Hassan A. Mazi Multidimensional engine Computational fluid dynamics (CFD) KIVA Detailed chemical kinetics CHEMKIN Integrated coupled model Coupling of Chemical Kinetics with Computational Fluid Dynamics in a Three-Dimensional Engine Model Mechanical Sci & Engineering 1917 Mechanical Engineering 0133 University of Illinois at Urbana-Champaign Thesis M.S. MS:Mechanical Engineerng -UIUC 10KS0133MS