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Loudspeaker cabinet design by topology optimization
Umeå University, Faculty of Science and Technology, Department of Computing Science.ORCID iD: 0000-0002-3800-6438
Umeå University, Faculty of Science and Technology, Department of Computing Science.ORCID iD: 0000-0003-0473-3263
Umeå University, Faculty of Science and Technology, Department of Computing Science. The Forestry Research Institute of Sweden (Skogforsk), Uppsala Science Park, Uppsala, Sweden.
Umeå University, Faculty of Science and Technology, Department of Computing Science. Department of Mathematics and Computer Science, Karlstad University, Karlstad, Sweden.ORCID iD: 0000-0001-8704-9584
2023 (English)In: Scientific Reports, E-ISSN 2045-2322, Vol. 13, no 1, article id 21248Article in journal (Refereed) Published
Abstract [en]

Using material distribution-based topology optimization, we optimize the bandpass design of a loudspeaker cabinet targeting low frequencies. The objective is to maximize the loudspeaker’s output power for a single frequency as well as a range of frequencies. To model the loudspeaker’s performance, we combine a linear electromechanical transducer model with a computationally efficient hybrid 2D–3D model for sound propagation. The adjoint variable approach computes the gradients of the objective function with respect to the design variables, and the Method of Moving Asymptotes (MMA) solves the topology optimization problem. To manage intermediate values of the material indicator function, a quadratic penalty is added to the objective function, and a non-linear filter is used to obtain a mesh independent design. By carefully selecting the target frequency range, we can guide the optimization algorithm to successfully generate a loudspeaker design with the required bandpass character. To the best of our knowledge, this study constitutes the first successful attempt to design the interior structure of a loudspeaker cabinet using topology optimization.

Place, publisher, year, edition, pages
Springer Nature, 2023. Vol. 13, no 1, article id 21248
National Category
Applied Mechanics
Identifiers
URN: urn:nbn:se:umu:diva-218076DOI: 10.1038/s41598-023-46170-4Scopus ID: 2-s2.0-85178334680OAI: oai:DiVA.org:umu-218076DiVA, id: diva2:1820983
Funder
Swedish Research Council, 2018-03546Swedish Research Council, 2022-03783Available from: 2023-12-19 Created: 2023-12-19 Last updated: 2023-12-19Bibliographically approved

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Bokhari, Ahmad H.Berggren, MartinNoreland, DanielWadbro, Eddie

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