Optimized Design of Muffler Based on Genetic Algorithm

摘要

In research into muffler optimization, 2 or 3 types of mufflers, which are most suitable for production units, are selected from the thousands of possible models after numerical simulation. As the calculation for the numerical simulation is too large, it is difficult to achieve it under normal circumstances. To solve this problem, the best evaluation function of muffler performance is built after the first introduction of genetic algorithm. Using the genetic algorithm features of the global optimal solution method (overall optimal solution) needs to calculate more than 60 models and then select 2 or 3 kinds of the most suitable mufflers in thousands of possible ones to meet the needs of production units. And after actual inspection, the mufflers will achieve comprehensive optimization in silencer performance, aerodynamic performance, mechanical strength and convenience of maintenance, geometry and structure rigidity etc., which saves the cost and time of numerical simulation.