Improved transparency in broadband absorption using multilayer micro-slit panels and bayesian inference

Abstract

Multilayer Micro-Slit panels (MSP) are assessed for their potential as broadband absorbers that simultaneously maintain visual transparency. Dah-You Maa introduced micro-Slit panel absorbers as a continuation of his previously developed Micro-Perforated panel (MPP) absorbers. Like MPP's, MSP's allow high absorption coefficients to be achieved without using fibrous materials, but are limited to a narrow frequency bandwidth. Broadband absorption can be achieved by combining panels into a multilayer absorber. The complexity of determining the optimum set of parameters required to fulfill a design scheme necessitates implementation of the Bayesian framework. This probabilistic method automatically determines the most concise number of layers required, and gives parameters for each layer of the resulting composite. Panels can be designed efficiently by encoding algorithms into the digital process. The Micro-Slit samples can be fabricated and tested to validate acoustic performance, and assess visual properties. Fabrication errors are mitigated through an iterative optimization process.