Creep Monitoring of Submersible Observation Windows Using Mueller Matrix Imaging

Safety of the observation window is one of the core concerns for manned submersibles. When subjected to underwater static pressure, extrusion and creep deformation always occur in the observation window, which can pose a threat to both safety and optical performance. To assess the deformation, real-time and non-contact monitoring methods are necessary. In this study, a conceptual setup based on the waveplate rotation and dual-DoFP (division of focal-plane polarimeter) polarization camera is built for the observation window's creep monitoring by measuring the Mueller matrix images of the samples under different pressures and durations. Then, a series of characteristic parameters, such as t1, R, r, R', are extracted from the Muller matrix images by Mueller matrix transformation (MMT), Mueller matrix polar decomposition (MMPD), correlation analysis and phase unwrapping method. The results demonstrate that these parameters can effectively describe the observation window's creep at different pressure levels which are simulated by finite element analysis. Additionally, more characterization parameters, such as ψ, A and D, are given from the Mueller matrix images and discussed to illustrate the method's potential for further applications and investigations. Ultimately, future devices based on this method could serve as a valuable tool for real-time and non-contact creep monitoring of the submersible observation windows.

Medienart:

E-Artikel

Erscheinungsjahr:

2023

Erschienen:

2023

Enthalten in:

Zur Gesamtaufnahme - volume:16

Enthalten in:

Materials (Basel, Switzerland) - 16(2023), 13 vom: 30. Juni

Sprache:

Englisch

Beteiligte Personen:

Tu, Haibo [VerfasserIn]
Bu, Xingying [VerfasserIn]
Liao, Ran [VerfasserIn]
Zhang, Hailong [VerfasserIn]
Ma, Guoliang [VerfasserIn]
Li, Hening [VerfasserIn]
Wan, Jiachen [VerfasserIn]
Ma, Hui [VerfasserIn]

Links:

Volltext

Themen:

Creep
Journal Article
Monitoring
Mueller matrix imaging
Observation window
Submersible

Anmerkungen:

Date Revised 18.07.2023

published: Electronic

Citation Status PubMed-not-MEDLINE

doi:

10.3390/ma16134733

funding:

Förderinstitution / Projekttitel:

PPN (Katalog-ID):

NLM359457924