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基于拓扑优化的扬声器箱设计。

Loudspeaker cabinet design by topology optimization.

作者信息

Bokhari Ahmad H, Berggren Martin, Noreland Daniel, Wadbro Eddie

机构信息

Department of Computing Science, Umeå University, 901 87, Umeå, Sweden.

The Forestry Research Institute of Sweden (Skogforsk), Uppsala Science Park, 75183, Uppsala, Sweden.

出版信息

Sci Rep. 2023 Dec 1;13(1):21248. doi: 10.1038/s41598-023-46170-4.

DOI:10.1038/s41598-023-46170-4
PMID:38040802
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10692115/
Abstract

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.

摘要

利用基于材料分布的拓扑优化方法,我们针对低频对扬声器箱体的带通设计进行了优化。目标是使扬声器在单个频率以及一定频率范围内的输出功率最大化。为了对扬声器的性能进行建模,我们将线性机电换能器模型与用于声音传播的高效计算混合二维 - 三维模型相结合。伴随变量法计算目标函数相对于设计变量的梯度,移动渐近线法(MMA)解决拓扑优化问题。为了处理材料指示函数的中间值,在目标函数中添加了二次罚函数,并使用非线性滤波器来获得与网格无关的设计。通过仔细选择目标频率范围,我们可以引导优化算法成功生成具有所需带通特性的扬声器设计。据我们所知,本研究是首次尝试使用拓扑优化设计扬声器箱体的内部结构并取得成功。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3d40/10692115/f4b0fcf0c5a4/41598_2023_46170_Fig8_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3d40/10692115/a62b947b1eb9/41598_2023_46170_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3d40/10692115/6161f9093ffe/41598_2023_46170_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3d40/10692115/8eae827e5cb4/41598_2023_46170_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3d40/10692115/718d4f21be4f/41598_2023_46170_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3d40/10692115/2f311c15f73b/41598_2023_46170_Fig5_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3d40/10692115/8f6f74602e83/41598_2023_46170_Fig6_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3d40/10692115/23dc3b536796/41598_2023_46170_Fig7_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3d40/10692115/f4b0fcf0c5a4/41598_2023_46170_Fig8_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3d40/10692115/a62b947b1eb9/41598_2023_46170_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3d40/10692115/6161f9093ffe/41598_2023_46170_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3d40/10692115/8eae827e5cb4/41598_2023_46170_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3d40/10692115/718d4f21be4f/41598_2023_46170_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3d40/10692115/2f311c15f73b/41598_2023_46170_Fig5_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3d40/10692115/8f6f74602e83/41598_2023_46170_Fig6_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3d40/10692115/23dc3b536796/41598_2023_46170_Fig7_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3d40/10692115/f4b0fcf0c5a4/41598_2023_46170_Fig8_HTML.jpg

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本文引用的文献

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Achieving a flat, wideband frequency response of a loudspeaker unit by numerical optimization with requirements on its directivity.通过数值优化实现扬声器单元的平坦宽带频率响应,并对其指向性提出要求。
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A computationally efficient hybrid 2D-3D subwoofer model.一种计算效率高的混合 2D-3D 超低音扬声器模型。
Sci Rep. 2021 Jan 8;11(1):255. doi: 10.1038/s41598-020-80092-9.
3
Giga-voxel computational morphogenesis for structural design.千兆体元计算形态发生用于结构设计。
Nature. 2017 Oct 4;550(7674):84-86. doi: 10.1038/nature23911.