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RISComputational Fluid Dynamics Simulation of Gasoline Compression Ignition
Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: Gasoline compression ignition (GCI) is a low temperature combustion (LTC) concept that has been gaining increasing interest over the recent years owing to its potential to achieve diesellike thermal efficiencies with ...
Using Machine Learning to Analyze Factors Determining Cycle-to-Cycle Variation in a Spark-Ignited Gasoline Engine
Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: In this work, we have applied a machine learning (ML) technique to provide insights into the causes of cycle-to-cycle variation (CCV) in a gasoline spark-ignited (SI) engine. The analysis was performed on a set of large ...
Development of a Stiffness Based Chemistry Load Balancing Scheme, and Optimization of Input/Output and Communication, to Enable Massively Parallel High Fidelity Internal Combustion Engine Simulations
Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: A closedcycle gasoline compression ignition (GCI) engine simulation near top dead center (TDC) was used to profile the performance of a parallel commercial engine computational fluid dynamics (CFD) code, as it was scaled ...
Evaluating Optimization Strategies for Engine Simulations Using Machine Learning Emulators
Publisher: American Society of Mechanical Engineers (ASME)
Abstract: This work evaluates different optimization algorithms for computational fluid dynamics (CFD) simulations of engine combustion. Due to the computational expense of CFD simulations, emulators built with machine learning ...