Optimization of an afterburning turbofan engine with multi objective particle swarm Method

Abstract

In this study, design analysis of mixed flow conceptual turbofan engine was accomplished by the use of MATLAB program. Thrust specific fuel consumption (SFC), specific thrust (ST), and overall efficiency (no) objective functions, which are the parameters indicating engine performance, were optimized both "with" and "without" afterburner cases throughout the range where bypass ratio and fan pressure ratio vary between 0.4≤ α ≤1.3 and 1.2≤ πc' ≤2.1, respectively. A conceptual turbofan engine was utilized for the analysis phase. Particle swarm optimization (PSO) and multi objective particle swarm optimization (MOPSO) modeling approaches were used so as to achieve the optimum solution. Since there is no study with MOPSO in the literature on this subject, this study is the first study using MOPSO method in parametric analysis of turbofan engine. The optimal values of SFC, ST ve no for the "with afterburner" condition were found 52. 4025, 1013.3 and %21.13 respectively, with α and πc' being 0.4 and 1.2 respectively. The optimal values of SFC, ST ve no for the "without afterburner" condition were found 20.8887, 658.3483 and %30.1234 respectively. α ve πc' pairs, which providing the optimum values for SFC, ST and no for the "without afterburner" condition, were found to be (1.3 and 1.2), (0.4 and 1.2) and (1.3 and 1.2) respectively.