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contributor authorYue, Zongyu
contributor authorXu, Chao
contributor authorSom, Sibendu
contributor authorSluder, C. Scott
contributor authorEdwards, K. Dean
contributor authorWhitesides, Russell A.
contributor authorMcNenly, Matthew J.
date accessioned2022-02-06T05:30:25Z
date available2022-02-06T05:30:25Z
date copyright5/31/2021 12:00:00 AM
date issued2021
identifier issn0742-4795
identifier othergtp_143_09_091017.pdf
identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4278177
description abstractThis work describes the development of a transported Livengood–Wu (L–W) integral model for computational fluid dynamics (CFD) simulation to predict autoignition and engine knock tendency. The currently employed L–W integral model considers both single-stage and two-stage ignition processes, thus can be generally applied to different fuels such as paraffin, olefin, aromatics, and alcohol. The model implementation is first validated in simulations of homogeneous charge compression ignition (HCCI) combustion for three different fuels, showing good accuracy in prediction of autoignition timing for fuels with either single-stage or two-stage ignition characteristics. Then, the L–W integral model is coupled with G-equation model to indicate end-gas autoignition and knock tendency in CFD simulations of a direct-injection spark-ignition engine. This modeling approach is about 10 times more efficient than the ones that based on detailed chemistry calculation and pressure oscillation analysis. Two fuels with same Research Octane Number (RON) but different octane sensitivity are studied, namely, Co-Optima alkylate and Co-Optima E30. Feed-forward neural network model in conjunction with multivariable minimization technique is used to generate fuel surrogates with targets of matched RON, octane sensitivity, and ethanol content. The CFD model is validated against experimental data in terms of pressure traces and heat release rate for both fuels under a wide range of operating conditions. The knock tendency—indicated by the fuel energy contained in the autoignited region—of the two fuels at different load conditions correlates well with the experimental results and the fuel octane sensitivity, implying the current knock modeling approach can capture the octane sensitivity effect and can be applied to further investigation on composition of octane sensitivity.
publisherThe American Society of Mechanical Engineers (ASME)
titleA Transported Livengood–Wu Integral Model for Knock Prediction in Computational Fluid Dynamics Simulation
typeJournal Paper
journal volume143
journal issue9
journal titleJournal of Engineering for Gas Turbines and Power
identifier doi10.1115/1.4050583
journal fristpage091017-1
journal lastpage091017-8
page8
treeJournal of Engineering for Gas Turbines and Power:;2021:;volume( 143 ):;issue: 009
contenttypeFulltext


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