Performance Design of a Turbofan Engine Using Multi-objective Particle Swarm Optimization (MOPSO)

The performance design of a turbofan engine is carried out to find a set of Pareto optimal solutions satisfying multiple conflicting and/or competing objectives simultaneously within objective constraints by applying multi-objective particle swarm optimization. A gas path analysis is incorporated into the optimization framework to obtain engine performance parameters. The optimization is designed to accomplish two objectives: higher thrust and less fuel consumption. It does so with five design variables and two objective constraints, although the number of simulation parameters is basically unlimited. The present multi-objective particle swarm optimization framework produces well-spread Pareto fronts for the cases with and without constraints. In addition, the parallel coordinates represent the dependency of the design variables on the objectives, which provides insights into the relationship between design variables and engine performance.