Study on engineering application method of large-scale reaction mechanism in knock prediction

• Published in: Fuel (Guildford) Vol. 331; p. 125818
• Main Authors: Xu, Hanjun, Wu, Jian, Wei, Jingsi, Chen, Ceyuan, Liu, Mingjia, Wu, Shan
• Format: Journal Article
• Language: English
• Published: Elsevier Ltd 01.01.2023
• Subjects: 1D simulation; Chemical kinetic; Knock; Knock; Chemical kinetic; 1D simulation
• ISSN: 0016-2361; 1873-7153
• DOI: 10.1016/j.fuel.2022.125818

•A high efficiency parallel detailed mechanism based solution for knock prediction in 1D simulation.•A re-calibrated gasoline surrogate for China local commercial gasoline.•Predicted burn rate model and CCV model were introduced in knock model validation.•Relationship between auto-ignition in simulation and MAPO in experiment was built.•Validations were carried out with 645 cases on 3 engines, average error is below 2°CA. In this paper, a new engineering application method for gasoline engine knock prediction in a quasi-dimensional combustion model using a large-scale reaction mechanism is explored. First, an accelerated calculation strategy coupled with 1D calculation and large-scale reaction kinetics mechanism was developed to meet the needs of rapid automatic simulation in engineering. Secondly, a gasoline surrogate was created according to the test results of China 92# gasoline. The motor octane number (MON) and the research octane number (RON) values, which were closely related to knock, were calibrated using the detailed reaction mechanism. Then, the prediction of auto-ignition of unburned region was carried out combined with predicted burn rate model and cycle to cycle variation (CCV) model. The relationship between the experimental in-cylinder pressure oscillation and the simulated auto-ignition in the unburned region was established. The multi-conditions verification results of three engines with different displacement, compression ratio and combustion system arrangement show that the average errors of predicted knock CA50 are 1.6°CA, 1.8°CA and 1.9°CA respectively.