Development of a skeletal mechanism for Fischer–Tropsch surrogate based on decoupling method and particle swarm optimization


As an alternative fuel, Fischer–Tropsch (FT) fuel in the future engine has received significant attentions due to its characteristics of high efficiency. Arrhenius parameters of certain reactions from FT fuel are tuned by particle swarm optimization algorithm to improve prediction accuracy. The optimized mechanisms are validated against experimental results and show good agreement with experimental data.

SAGE Proceedings of the Institution of Mechanical Engineers
Wenkai Chen
PhD Student

PhD student in Robotics & AI.