Unsteady simulation of AUVs approaching seafloor by self-propulsion using multi-block hybrid dynamic grid method

Wu, Lihong; Li, Shuo; Feng, Xisheng; Jiang, Hua; Zhang, Xiufeng; Hu, Weifeng

doi:10.1016/j.jfluidstructs.2022.103728

Cited by 3 publications

(2 citation statements)

References 24 publications

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“…For AUV, losing balance causes the AUV to spend more power on adjusting its attitude, which further reduces the endurance time [ 6 ]. Besides, for ROV and AUV, the loss of orientation and balance not only makes it difficult to accomplish underwater tasks but also causes them to be swept away by the flow, which is a huge economic loss [ 7 ]. The underwater flow direction sensor can either be directly integrated into the underwater vehicles or installed on the manipulators of underwater vehicles.…”

Section: Introductionmentioning

confidence: 99%

A Novel Thermal Tactile Sensor Based on Micro Thermoelectric Generator for Underwater Flow Direction Perception

Liu

Chen

Xing

et al. 2023

Sensors

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Underwater vehicles can operate independently in the exploitation of marine resources. However, water flow disturbance is one of the challenges underwater vehicles must face. The underwater flow direction sensing method is a feasible way to overcome the challenges but faces difficulties such as integrating the existing sensors with underwater vehicles and high-cost maintenance fees. In this research, an underwater flow direction sensing method based on the thermal tactility of the micro thermoelectric generator (MTEG) is proposed, with the theoretical model established. To verify the model, a flow direction sensing prototype is fabricated to carry out experiments under three typical working conditions. The three typical flow direction conditions are: condition No. 1, in which the flow direction is parallel to the x-axis; condition No. 2, in which the flow direction is at an angle of 45° to the x-axis; and condition No. 3, which is a variable flow direction condition based on condition No. 1 and condition No. 2. According to the experimental data, the variations and orders of the prototype output voltages under three conditions fit the theoretical model, which means the prototype can identify the flow direction of three conditions. Besides, experimental data show that in the flow velocity range of 0~5 m/s and the flow direction variation range of 0~90°, the prototype can accurately identify the flow direction in 0~2 s. The first time utilizing MTEG on underwater flow direction perception, the underwater flow direction sensing method proposed in this research is cheaper and easier to be applied on the underwater vehicles than traditional underwater flow direction sensing methods, which means it has great application prospects in underwater vehicles. Besides, the MTEG can utilize the waste heat of the underwater vehicle battery as the energy source to achieve self-powered work, which greatly enhances its practical value.

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Section: Introductionmentioning

confidence: 99%

A Novel Thermal Tactile Sensor Based on Micro Thermoelectric Generator for Underwater Flow Direction Perception

Liu

Chen

Xing

et al. 2023

Sensors

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“…Chen et al [10] calculated additional mass for underwater helicopters near the seafloor using the panel method and established a linear relationship between additional mass and distance from the seafloor. Wu et al [11] analyzed the unsteady hydrodynamic interference between an underwater self-propelled AUV and the seafloor using the CFD method and reported the critical conditions under which the AUV was affected.…”

Section: Introductionmentioning

confidence: 99%

Research on the Influence of Turbulent Flow Induced by Dunes on AUVs

Guo,

Li,

Qin

et al. 2023

Applied Sciences

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The demand for oceanic resource exploration and development is increasing, and autonomous underwater vehicles (AUVs) have emerged as potential tools for ocean exploration. To meet specific operational requirements, AUVs are required to operate in close proximity to the seafloor. However, complex and changeable seafloor terrains have complex spatiotemporal characteristics, which produce unsteady hydrodynamic interference on AUVs, affecting their safety and stability. In order to investigate the hydrodynamic characteristics of AUVs in turbulent flow fields near seafloor terrains, this study selects a typical dune terrain. Based on the computational fluid dynamics (CFD) method, the flow field around an AUV near the seafloor is simulated, and the flow field is solved using the large eddy simulation (LES) method, calculating the AUV’s hydrodynamic instantaneous and average characteristics, as well as flow field characteristics at different inflow velocities and distances from the seafloor. The results indicate that when the AUV is situated within the turbulent flow field caused by the terrain, its drag, lift, and pitch moment performance present significant fluctuations. Variations in total resistance are primarily caused by variations in pressure resistance. Variations in lift and pitch moment are more sensitive to variations in the flow field structure. The AUV also affects the development of the turbulent flow field near the terrain. When the AUV is in close proximity to the seafloor, it hampers the development of vortices below it. These results will offer guidance for the maneuverability and control of AUVs in practical engineering applications.

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CFD-based hydrodynamic performance investigation of autonomous underwater vehicles: A survey

Hong,

Wang,

Zhang

2024

Ocean Engineering

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Unsteady simulation of AUVs approaching seafloor by self-propulsion using multi-block hybrid dynamic grid method

Cited by 3 publications

References 24 publications

A Novel Thermal Tactile Sensor Based on Micro Thermoelectric Generator for Underwater Flow Direction Perception

A Novel Thermal Tactile Sensor Based on Micro Thermoelectric Generator for Underwater Flow Direction Perception

Research on the Influence of Turbulent Flow Induced by Dunes on AUVs

CFD-based hydrodynamic performance investigation of autonomous underwater vehicles: A survey

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