Absorber Geometry Size Optimization For Acoustic Anechoic Chamber Design Using Genetic Algorithm

Abstract

Abstract An anechoic chamber is a room that is made to resemble the condition of empty space. This room has an absorption rate of 99%. The absorber is an essential part while manufacturing an anechoic chamber. In an anechoic chamber, absorber affects in terms of absorption and frequency range. Specification of the absorber used depends on the specification of the anechoic chamber to be made. The optimum absorber geometry size is required to maximize the net volume of the anechoic chamber. The maximum measurable object size is 0.05x net volume of an anechoic chamber. To overcome the problem, it is necessary to optimize the size of the absorber geometry. The size optimization of the absorber geometry has been carried out using a genetic algorithm with MATLAB as the programming software. The incidence angle of the wave and the width of the absorber are used as input parameters for absorber optimization. Absorber geometry size optimization results in an optimum peak angle and absorber length. The width of the absorber used in this optimization is 0.2 m. The peak angle obtained is 12.2° with a length of 0.936 m. The average absorption coefficient obtained is 0.886041.