to CO2 and high-temperature chain branching reaction of H + O2 → O + OH are identified to be important. The conversion reaction of CO to CO2 and hydrogen chemistry are identified as important reactions for high temperature hear release (HTHR). It is of importance to note that all the CEMA results are nearly identical to that of RCCI/SCCI combustion with different flow configurations [51], implying that the sequence of LTC, ITC, and HTC occurrence does not change much with different flow configuration.
it is need to understand the fundamental ignition characteristics of a low reactivity jet in high reactivity fuel/air charge.
• OpenFOAM can be used to perform large scale simulation for HCCI type engines with skeletal chemical mechanism, moving mesh, adaptive mesh refinement (AMR), and parallel computing.
• By conducting OepnFOAM-based LES with a realistic engine geometry, we can investigate realistic engine combustion characteristics, process, and performance of HCCI type engine.
• Finally, the available DNS dataset of RCCI and temporally-evolving jet can be used for the development of combustion model using OpenFOAM.
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Acknowledgements
I would like to express my sincere appreciation to my advisor, Professor Chun Sang Yoo for his valuable guidance and patience during my doctoral study. He was always willing to provide me with insightful advices on my research, encourage me and show me the way how to prepare my life as an independent researcher. I also thank to my doctoral committee members - Professor Jaeseon Lee, Professor Jae Hwa Lee, Professor Jooha Kim, and Professor Jeong Park, for their valuable feedback and constructive suggestions on my thesis. I am also thankful to all my lab members. We shared valuable idea on combustion and helped each other and had unforgettable memories together.
I always thank my beloved wife, Haein Park and family for believing and supporting me.
This work was supported by BK21Plus funded by the Ministry of Education, Basic Science Research Program through the National Research Foundation of Korea (NRF) funded by the Ministry of Science, ICT & Future Planning. This research used the re- sources of the KAUST Supercomputing Laboratory and UNIST Supercomputing Center.