Quantifying uncertainty in kinetic simulation of engine autoignition
S Cheng, Y Yang, MJ Brear, M Frenklach
Combustion and Flame | Elsevier | Published : 2020
Combustion chemistry models have been developed with inherent uncertainties in them. Whether a model that is developed using fundamental combustion experiments is capable to reproduce practical combustion processes within typical levels of measurement uncertainty is an open question. This paper quantifies the uncertainty of engine autoignition simulation using the uncertainties in the selected chemical kinetic model and then minimizes the model prediction uncertainty using various experiments. The method adopts a deterministic framework of uncertainty quantification, termed bound-to-bound data collaboration, and applies it to simulate the autoignition of n-pentane in a standard octane rating..View full abstract
The authors thank the Australian Research Council for supporting this work. The first author thanks the Chinese Scholarship Council for providing the PhD scholarship and the Melbourne School of Engineering for the Visiting Fellowship to visit UC Berkeley.