| People | Locations | Statistics |
|---|---|---|
| Naji, M. |
| |
| Motta, Antonella |
| |
| Aletan, Dirar |
| |
| Mohamed, Tarek |
| |
| Ertürk, Emre |
| |
| Taccardi, Nicola |
| |
| Kononenko, Denys |
| |
| Petrov, R. H. | Madrid |
|
| Alshaaer, Mazen | Brussels |
|
| Bih, L. |
| |
| Casati, R. |
| |
| Muller, Hermance |
| |
| Kočí, Jan | Prague |
|
| Šuljagić, Marija |
| |
| Kalteremidou, Kalliopi-Artemi | Brussels |
|
| Azam, Siraj |
| |
| Ospanova, Alyiya |
| |
| Blanpain, Bart |
| |
| Ali, M. A. |
| |
| Popa, V. |
| |
| Rančić, M. |
| |
| Ollier, Nadège |
| |
| Azevedo, Nuno Monteiro |
| |
| Landes, Michael |
| |
| Rignanese, Gian-Marco |
|
Aage, Niels
Technical University of Denmark
in Cooperation with on an Cooperation-Score of 37%
Topics
Publications (3/3 displayed)
Places of action
| Organizations | Location | People |
|---|
conferencepaper
Design of a 3D phononic-fluidic sensor using shape optimization
Abstract
A phononic-fluidic sensor consists of a fluidic cavity resonator with 3D phononic crystal (PnC) layers around it. The phononic structures around the cavity effectively improve the boundary conditions of the cavity resonator, significantly increasing quality factor and resolution. Thereby, such combination allows to measure volumetric properties of liquids, for example, density and speed of sound, especially in small volumes. This sensor concept was realized in one- and two-dimensional arrangements [1, 2]. Additionally, this concept was implemented in three-dimensional arrangements [3, 4]. The main motivation of this work is to suggest a new sensor design using shape optimization of air inclusions of phononic structures, which provides acoustic resonance peaks with higher quality factors. In this work we describe the first application of shape optimization to improve our 3D phononic-fluidic structures. For optimization we used the computational setup shown in Fig. 1a. The model is meshed to cover the minimum wavelength encountered in a study: the maximum element size is set to a/12, where a is the lattice constant of the PnC, see Fig. 1b. Since a shape optimization process is computationally demanding, we decided to use a semi-infinite model using periodic boundary conditions (PBC). Contact with emitter and receiver to excite and detect transmitted waves is modeled as a low-reflection impedance boundary condition with the effective transducer surface impedance. Furthermore, we excited the emitter with a constant time-harmonic velocity amplitude. As fluid domain, we used two arbitrary liquids with different speeds of sound. The optimization problem is formulated as increasing the quality factor Q of the acoustic resonance peak. This is a challenging multifrequency optimization problem, which requires solving at least three frequencies. Additionally, the optimization problem was constrained with a maximal displacement from the initial shape of 0.04a, in order to avoid intersection of PnC air inclusions and cavity ...