The measurement and analysis on dynamic evolution property for temperature field of trailing wake behind underwater vehicle

Fangyuan Jin; Dongmei Wang; Yunying Wang; Yuanyuan Guo; Hui Lin; Lu Zhang

doi:10.1117/12.2666466

4 April 2023 The measurement and analysis on dynamic evolution property for temperature field of trailing wake behind underwater vehicle

Fangyuan Jin, Dongmei Wang, Yunying Wang, Yuanyuan Guo, Hui Lin, Lu Zhang

Author Affiliations +

Proceedings Volume 12617, Ninth Symposium on Novel Photoelectronic Detection Technology and Applications; 1261757 (2023) https://doi.org/10.1117/12.2666466
Event: 9th Symposium on Novel Photoelectronic Detection Technology and Applications (NDTA 2022), 2022, Hefei, China

Abstract

The dynamic underwater temperature field and surface infrared characteristic of fluid field behind underwater vehicle in temperature stratification water was studied in this paper, using simulated water tank experiment and CFD (Computational Fluid Dynamics) study. In simulated water tank experiment study, the physical parameters of radio controlled scaled underwater vehicle model was fabricated with similarity ratio 1:100. Using the radio-controlled model, the movement of underwater vehicle in negative temperature gradient water was imitated, and the thermal evolution process of fluid field in water surface and under water was obtained by IR imager and underwater temperature sensors respectively. In theoretical study, the 3D N-S (Navier-Stocks) functions were calculated to verify the water tank results, and the initial condition and boundary condition were set using water tank experiment parameters. Both the simulated results and water tank experimental results could match with each other, and the results showed that the evolutionary process of “cold trailing wake” in water surface could be divided into four stages, which were called initial generation stage, stable development stage, diffusion stage and destruction stage. By reason of propeller’s mixing effect, the hot water and the cold water exchanged heat unceasingly, which induced that the temperature near the surface was reduced, the temperature beneath the water was raised, and the temperature near the routes of model fluctuated with time. By comparing the theoretical value with the experimental value, the maximum simulation error of the theoretical model was 3.9dB.

Citation Download Citation

Fangyuan Jin, Dongmei Wang, Yunying Wang, Yuanyuan Guo, Hui Lin, and Lu Zhang "The measurement and analysis on dynamic evolution property for temperature field of trailing wake behind underwater vehicle", Proc. SPIE 12617, Ninth Symposium on Novel Photoelectronic Detection Technology and Applications, 1261757 (4 April 2023); https://doi.org/10.1117/12.2666466

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KEYWORDS

Temperature metrology

Infrared radiation

Thermal modeling

Infrared imaging

Thermography

Motion models

Submerged target modeling

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