Predictive Computational Model for Analysis of a 4JJ1 Diesel Engine.

Engine system design is focused on steady and transient studies of the thermodynamic cycle based on the crankshaft angle and the heat release curve. Therefore, internal combustion engines have been studied in recent years for thermodynamic applications in order to increase their energy efficiency, durability, quieter, and vibration-free through predictive models based on their mechanical behavior considering different conditions with computational tools. Predictive models are considered as the diagnostic assessment of internal combustion engines due to the methodology employed in the acquisition of the experimental data based on the engine characterization of 4JJ1 Isuzu Diesel engines applied in the combustion chamber. In this paper, a thermodynamic predictive study is developed, taking into account the pressure signal and heat rejected range with the aim to predict the internal engine flow, mixture formation, coolant temperatures, and the combustion processes focused on the chemical and kinetic energy transfer into the combustion chamber. A maximum error rate of 7 percent between the experimental and modeled results, which allows high predictability in the proposed model, has been obtained. Nearby to the Top Dead Center has managed to follow the trend of the experimental behavior, despite being a critical area of modeling due to high temperatures, pressures, and combustion kinetics. [ABSTRACT FROM AUTHOR]