Abstract
The focus of this article is on level set based topology optimization of
vibroacoustic hearing instruments. The goal is to demonstrate the
applicability of the proposed framework for optimization of 3D
industrial scale hearing instruments. The framework employs an immersed
boundary cut element method to handle the modeling of complex design
geometries on fixed unstructured meshes. Utilization of unstructured
meshes allows for optimizing small parts of a complex hearing instrument
without disturbing the overall geometry. The remaining parts of the
model which are not included in the optimization process are modeled
with segregated approach. The design parameterization is based on an
explicit level set approach, for which the nodal level set values are
linked to the mathematical design variables. The optimization problem is
solved using mathematical programming and the sensitivities are
obtained with a discrete adjoint approach. A validation study is carried
out comparing the proposed cut element model to a body fitted mesh for a
large range of frequencies. The optimization framework is then applied
on the tube and the suspension structures of a hearing instrument system
considering two sets of material properties for the design parts. The
optimization considers the minimization of sound pressure on the
microphone surface for discrete frequencies aiming to reduce the
feedback paths and to increase the amplification that the device can
deliver to the user. Both optimization cases improve the performance of
the hearing instrument system by effectively reducing the sound pressure
on the microphone surface for the considered frequency range.
Original language | English |
---|---|
Article number | 116984 |
Journal | Journal of Sound and Vibration |
Volume | 532 |
Number of pages | 22 |
ISSN | 0022-460X |
DOIs | |
Publication status | Published - 2022 |
Keywords
- Vibroacoustics
- Shape optimization
- Topology optimization
- Level set methods
- Cut finite elements
- Immersed boundary methods
- Hearing instruments