3D focusing acoustic lens optimization method using multi-factor and multi-level orthogonal test designing theory

Sun, Hongyu; Wang, Shen; Huang, Songling; Peng, Lisha; Wang, Qing; Zhao, Wei; Zou, Juna

Abstract

Focusing systems that consist of acoustic lenses exhibit higher controllability and focusing intensity when manipulating sound waves. Different parameters have different effects on the performance of the acoustic lens, so analyzing a variety of parameter combinations for the acoustic lens is difficult because of the complexity of the test. Therefore, we report an analytical method for studying the focusing performance of different factors on acoustic lenses at different levels, and the influence degree of each factor is investigated through range analysis. Results show that the factors that have the most significant influence on the focusing intensity, focal-area dimensions, and focal length are the incident sound field’s pressure P0, cell dimension c, and cell edges k, respectively. Moreover, the effects of other parameters, including the biased incident-wave angles, are obtained and analyzed through finite-element simulations. After analyzing and comprehensively comparing the influences of various parameters, the optimal parameter combination is obtained to achieve the best focusing performance of an acoustic lens. The experimental results show that the focusing intensity of the optimized acoustic lens is nearly 90% higher than the non-optimized one, which proves the effectiveness of the orthogonal test-optimization method in this paper.

Citation

Sun, H., Wang, S., Huang, S., Peng, L., Wang, Q., Zhao, W., & Zou, J. (2020). 3D focusing acoustic lens optimization method using multi-factor and multi-level orthogonal test designing theory. Applied Acoustics, 170, Article 107538. https://doi.org/10.1016/j.apacoust.2020.107538

• Journal Article Type: Article
• Acceptance Date: Jul 15, 2020
• Online Publication Date: Jul 28, 2020
• Publication Date: 2020-12
• Deposit Date: Aug 18, 2020
• Publicly Available Date: Jul 28, 2021
• Journal: Applied Acoustics
• Print ISSN: 0003-682X
• Electronic ISSN: 1872-910X
• Publisher: Elsevier
• Peer Reviewed: Peer Reviewed
• Volume: 170
• Article Number: 107538
• DOI: https://doi.org/10.1016/j.apacoust.2020.107538
• Public URL: https://durham-repository.worktribe.com/output/1263559