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- W2524775725 abstract "The incorporation of detailed chemistry in internal combustion engine (ICE) simulations is challenging due to the large number of chemical species and the wide range of chemical timescales involved, which is further complicated by the highly transient nature of the combustion process. The performance of chemistry acceleration methods such as in situ adaptive tabulation (ISAT) deteriorates dramatically in ICE simulations because of the large variation in the accessed composition space. In this study, a dynamic pruning (DP) strategy for ISAT and an automated initial searching species method together with adaptive reduction thresholds for dynamic adaptive chemistry (DAC) are first proposed to enhance the capabilities of ISAT and DAC for transient ICE simulations, respectively. For ISAT, the dynamic pruning for infrequently accessed tabulated points is achieved by pruning the least recently used tabulated entries. It is observed that DP strategy can improve the computational efficiency in chemistry fo..." @default.
- W2524775725 created "2016-10-07" @default.
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- W2524775725 date "2016-09-29" @default.
- W2524775725 modified "2023-09-25" @default.
- W2524775725 title "Toward Efficient Chemistry Calculations in Engine Simulations Through Static Adaptive Acceleration" @default.
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- W2524775725 doi "https://doi.org/10.1080/00102202.2016.1229312" @default.
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