Intake, Exhaust and Valve Timing Design Using Single and Multi- Objective Genetic Algorithm 2007-24-0090
In this work single and multi-objective Genetic Algorithm (GA) has been employed to find optimal solution(s) for design parameters of intake and exhaust systems like: intake pipes length, intake manifold geometry, intake and exhaust valves timing, and exhaust manifold geometry. 1 dimensional CFD model, through GT Power, was prepared and used as an evaluation tool and genetic algorithm as an evolution method. Optimization problem was formulated in two cases. Multiple Objective Genetic Algorithm (MOGA) was implemented to solve multi-objective problem (first case) and single genetic algorithm was developed for the second problem. As a result of the first case an optimal design layout for intake and exhaust systems was chosen from Pareto-optimal solutions and for the second case the best timing for intake and exhaust valve was found at each engine speed which can be useful to develop Variable Valve Timing (VVT) system for engine. Effects of genetic algorithm parameters were investigated and the best arrangement was selected. High potential of GA as a design tool for intake and exhaust system was illustrated through its ability to solve single and multi criteria design problems.