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Fast Prediction of HCCI Combustion with an Artificial Neural Network Linked to a Fluid Mechanics Code
SAE Technical Paper Series
We have developed an artificial neural network (ANN) based combustion model and have integrated it into a fluid mechanics code (KIVA3V) to produce a new analysis tool (titled KIVA3V-ANN) that can yield accurate HCCI predictions at very low computational cost. The neural network predicts ignition delay as a function of operating parameters (temperature, pressure, equivalence ratio and residual gas fraction). KIVA3V-ANN keeps track of the time history of the ignition delay during the engine cycledoi:10.4271/2006-01-3298 fatcat:c3zbw6ivw5evbc4souhozif3nu