Stress Detection of Conical FrustumWindows in Submersibles Based on Polarization Imaging
文献类型:期刊论文
作者 | Hening Li3,4,5; Ran Liao4,5; Hailong Zhang2![]() ![]() |
刊名 | sensors
![]() |
出版日期 | 2022-03 |
卷号 | 22期号:22页码:2282 |
关键词 | conical frustum window PMMA polarization imagingpolarization imaging stress detection |
DOI | 10.3390/s22062282 |
通讯作者 | Ran Liao |
目次 | 是 |
英文摘要 | Abstract: Stress detection of the conical frustum window is a very important issue to ensure the safety of deep manned submersibles. In this paper, we propose a method based on polarization imaging to evaluate the stress accumulation and recovery in the conical frustum window. An experimental setup of Mueller matrix polarimetry is built, and the samples are made by referring to the typical conical frustum windows in submersibles. By pressurizing different pressures on the samples, we |
URL标识 | 查看原文 |
语种 | 英语 |
国家 | 中国 |
版本 | 出版稿 |
源URL | [http://ir.idsse.ac.cn/handle/183446/9886] ![]() |
专题 | 深海工程技术部_工程实验室 |
通讯作者 | Ran Liao |
作者单位 | 1.Department of Physics, Yangtze University, Jingzhou 434100, China 2.Institute of Deep-Sea Science and Engineering, Chinese Academy of Sciences, Sanya 572000, China 3.Department of Biomedical Engineering, Tsinghua University, Beijing 100084, China 4.Guangdong Research Center of Polarization Imaging and Measurement Engineering Technology, Shenzhen International Graduate School, Tsinghua University, Shenzhen 518055, China 5.Institute for Ocean Engineering, Shenzhen International Graduate School, Tsinghua University, Shenzhen 518055, China |
推荐引用方式 GB/T 7714 | Hening Li,Ran Liao,Hailong Zhang,et al. Stress Detection of Conical FrustumWindows in Submersibles Based on Polarization Imaging[J]. sensors,2022,22(22):2282. |
APA | Hening Li.,Ran Liao.,Hailong Zhang.,Guoliang Ma.,Zhiming Guo.,...&Hui Ma.(2022).Stress Detection of Conical FrustumWindows in Submersibles Based on Polarization Imaging.sensors,22(22),2282. |
MLA | Hening Li,et al."Stress Detection of Conical FrustumWindows in Submersibles Based on Polarization Imaging".sensors 22.22(2022):2282. |
入库方式: OAI收割
来源:深海科学与工程研究所
其他版本
除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。