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Design Optimization of Acoustic Structures Using Geometry Parameterization and Particle Swam Optimization Algorithm

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The geometric design of acoustic components, such as horns and surroundings, is time-consuming and complicated. A design process is introduced in this study to shorten the design-test-optimization cycle. The design process consists of three parts. The first part is the geometry parameterization. Formulas to build the shape of the geometry are provided, from a 2D profile to a 3D geometry. In the second part, the acoustic properties of the acoustic components are simulated; for example, the sound pressure level (SPL), which is advised in most acoustic component designs. Optimization is performed in the third part. Using the particle swarm optimization (PSO) algorithm, the geometric parameters are modified to improve the acoustic properties. We consider the horn as an example in this study. However, the parametric geometry and optimization method above are highly flexible and can be performed in diverse structures, in which the derivative of the surface is expected to be continuous. The entire process is assembled in one software, which makes the design program easy to handle and highly efficient.

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Express Paper 3; AES Convention 153; October 2022
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Permalink: https://www.aes.org/e-lib/browse.cfm?elib=21911

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