ACOUSTIC CLOAK DESIGN VIA GRADIENT-BASED OPTIMIZATION

Authors

Angel Avina, Alumni
Samer Gerges, Alumni
Feruza A. Amirkulova, San Jose State UniversityFollow
Winncy Du, San Jose State UniversityFollow

Publication Date

1-1-2023

Document Type

Conference Proceeding

Publication Title

ASME International Mechanical Engineering Congress and Exposition, Proceedings (IMECE)

Volume

4

DOI

10.1115/IMECE2023-113932

Abstract

An acoustic cloak [1] is a metamaterial device that can bend acoustic waves around their interior and hide any object inside from an incident acoustic field. The current methods of designing acoustic cloaking devices involve traditional methods such as direct computer simulation, topology optimization, stochastic optimization, gradient-based optimization (GBO), and more recently data-driven machine learning models. This project focuses on implementing GBO strategies to optimize an objective function of interest, improving our models developed earlier [2, 3] to reduce the cost of design and improve the efficiency of cloaking devices. Acoustic cloak design is achieved by minimizing the total scattering cross section (TSCS) for a set of cylindrical rigid scatterers.

Funding Sponsor

San José State University

Department

Mechanical Engineering

Recommended Citation

Angel Avina, Samer Gerges, Feruza A. Amirkulova, and Winncy Du. "ACOUSTIC CLOAK DESIGN VIA GRADIENT-BASED OPTIMIZATION" ASME International Mechanical Engineering Congress and Exposition, Proceedings (IMECE) (2023). https://doi.org/10.1115/IMECE2023-113932