Integrated Mechanical and Thermodynamic Optimization of an Engine Linkage Using a Multi Objective Genetic Algorithm

Abstract

In order to improve the thermodynamic efficiency of an internal combustion engine (ICE), a StephensonIII sixbar linkage is optimized to serve as a replacement for the traditional slider–crank. Novel techniques are presented for formulating the design variables in the kinematic optimization that guarantee satisfaction of the Grashof condition and of transmission angle requirements without the need for an explicit constraint function. Additionally, a nested generalization of the popular NSGAII algorithm is presented that allows simultaneous optimization of the kinematic, dynamic, and thermodynamic properties of the mechanism. This approach successfully solves the complex sixobjective optimization problem, with challenges for future refinement including improvement of the combustion simulation to attain better accuracy without prohibitive computational expense.