Towards probing velocity distributions in dense granular matter: Utilizing Fiber Bragg Gratings
Fuente:
arXiv
Enregistré dans:
| Auteurs principaux: | , , , , , , , , , , |
|---|---|
| Format: | Preprint |
| Publié: |
2025
|
| Sujets: | |
| Accès en ligne: | |
| Tags: |
Ajouter un tag
Pas de tags, Soyez le premier à ajouter un tag!
|
| _version_ | 1866915667591036928 |
|---|---|
| author | Kunzner, Marlo Henriques, Luis Puthalath, Fahad Facchini, Leonardo Shahsavari, Mohammadhossein Gommeringer, Léa Angelmahr, Martin Yu, Peidong Sperl, Matthias Böhmer, Till Gabriel, Jan Philipp |
| author_facet | Kunzner, Marlo Henriques, Luis Puthalath, Fahad Facchini, Leonardo Shahsavari, Mohammadhossein Gommeringer, Léa Angelmahr, Martin Yu, Peidong Sperl, Matthias Böhmer, Till Gabriel, Jan Philipp |
| contents | Granular gases are commonly characterized through their velocity distribution, which provides access to the granular temperature. In experiments, velocity distributions are typically obtained by particle tracking, which however becomes limited at moderate and high particle densities. As a way forward, we propose a new technique for measuring particle velocities in situ by using a Fiber Bragg Grating (FBG) sensor, which remains applicable at significantly higher particle densities.The FBG sensor detects strain pulses induced by particle-fiber collisions, from which the velocity of the impacting particle can be derived. Applying this method to an ensemble of granular particles allows to extract its velocity distributions as we present for a granular system excited by a vibrational shaker. We validate the extracted velocity distribution against conventional particle-tracking measurements, confirming the reliability of the FBG-based technique. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2512_07321 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | Towards probing velocity distributions in dense granular matter: Utilizing Fiber Bragg Gratings Kunzner, Marlo Henriques, Luis Puthalath, Fahad Facchini, Leonardo Shahsavari, Mohammadhossein Gommeringer, Léa Angelmahr, Martin Yu, Peidong Sperl, Matthias Böhmer, Till Gabriel, Jan Philipp Disordered Systems and Neural Networks Soft Condensed Matter Granular gases are commonly characterized through their velocity distribution, which provides access to the granular temperature. In experiments, velocity distributions are typically obtained by particle tracking, which however becomes limited at moderate and high particle densities. As a way forward, we propose a new technique for measuring particle velocities in situ by using a Fiber Bragg Grating (FBG) sensor, which remains applicable at significantly higher particle densities.The FBG sensor detects strain pulses induced by particle-fiber collisions, from which the velocity of the impacting particle can be derived. Applying this method to an ensemble of granular particles allows to extract its velocity distributions as we present for a granular system excited by a vibrational shaker. We validate the extracted velocity distribution against conventional particle-tracking measurements, confirming the reliability of the FBG-based technique. |
| title | Towards probing velocity distributions in dense granular matter: Utilizing Fiber Bragg Gratings |
| topic | Disordered Systems and Neural Networks Soft Condensed Matter |
| url | https://arxiv.org/abs/2512.07321 |