Abstract
Autonomous underwater vehicles (AUVs) have been widely used in many aspects of the underwater world for their autonomy and robust flexibility. However, the dynamic performance of the small AUVs is strongly affected by hydrodynamic effects. In this work, based on a novel designed small AUV, we conduct a hydrodynamic coefficients estimation work by adopting the computational fluid dynamics (CFD) method. Firstly, the resistance to AUV under different propeller layout conditions is analyzed. Secondly, to study the hydrodynamic coefficients of the AUV at different pitch angles, we simulated the movement of the AUV in the Fluent module and determined the thrust of the propeller by estimating the axial and radial forces. Simulation results show that the resistance and sinking force coefficients of the designed AUV are positively correlated with pitch angle and negatively correlated with Reynolds number. This work provides a vital reference for designing effective control strategies for small underwater vehicles.
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1 Introduction
Due to the complex underwater environment, the water flow has a great impact on autonomous underwater vehicles. Therefore, in order to control AUVs’ motion efficiently and stably, it is necessary to analyze the force conditions and hydrodynamic coefficients of the robot in the underwater intervention process. Nowadays, in the motion simulation of AUV, many research works have been conducted by using CFD methods. In order to study AUV’s hydrodynamic effects, Zheng et al. [1] used computational fluid dynamic method to analyze the resistance and hydrodynamic coefficients of AUV at different speeds. Some fluid simulations were performed on AUV’s external attachments. Wang et al. [2] optimized the hydrodynamic performance of AUV with various appendages. The optimization results showed that the influence of attachments on the hydrodynamic performance was proportional to their size, and attachments’ distributed layout was beneficial to reduce the resistance. Zhao et al. [3] established a motion simulation platform for AUV attachments. Maneuverability of AUV was simulated in horizontal and vertical planes. In order to evaluate the influence of the attachments, the fluid properties of AUV with or without attachments were compared. Julian Hoth et al. [4] determined the flow parameters around AUV. He used different methods to perform CFD simulations on the AUV and analyzed the pressure data. The results showed that the method which used vector machine could produce more accurate results. A. Muthuvel et al. [5] used a commercial CFD package called STAR-CCM+ to simulate the flow around AUV with different attachments. Ammar Amory et al. [6] used ANSYS Fluent software to simulate fluid properties of a fish-like AUV. Its fluid properties were compared with the torpedo AUV to demonstrate that the fish-like AUV had less resistance when running. Madan A. D et al. [7] used semi-empirical formula to analyze the relationship between sizes of AUV and lift and drag forces. Ali Nematollahi et al. [8] analyzed the influence of different submergence depths and vehicle speeds on the hydrodynamic performance of underwater vehicles, and summarized some conclusions. Different pitch angles have a great impact on the motion of AUV. A. Mitra et al. [9] conducted simulations and experiments on the hull of AUV. He explored the flow characteristics of AUV with different submerged depths and angles of attack. It provided a method to improve the design of AUV. Su et al. [10] designed an AUV with vector thruster and calculated the hydrodynamic coefficients of AUV at different angles of attack by CFD software. P. Jagadeesh et al. [11] analyzed the hydrodynamic coefficients of the torpedo-type AUV under different pitch angles by both CFD simulation and experiment. The results helped with the design of AUV.
In this paper, Sect. 2 introduces the fluid dynamics model used in fluid simulation and presents the influence of different propeller layouts on resistance coefficient of AUV. Section 3 analyzes resistances and sinking forces of AUV with different pitch angles and Reynolds numbers. Finally, the conclusion of this article is in the Sect. 4.
2 Fluid Dynamics Model
In this work, three assumptions are made in the process of our CFD simulation: (1) A fixed-size cuboid is used as the simulation area, and its boundary effect is ignored for simulating an infinite AUV working area. (2) We take the resistance in still water into consideration but ignore the influence of currents, since this AUV only works in lakes and rivers. (3) The torques generated by their rotation can cancel each other due to the symmetrical placement of propellers. Meanwhile, the thrust is considered.
2.1 Fluid Flow Model
Before establishing computational model, Reynolds number can be determined as follows:
where the density of water ρ equals 998.2 kg/m3, dynamic viscosity coefficient μ equals 1.003 * 10−3kg/m·s, the effective length of AUV L equals 0.2 m, and u is the velocity of AUV.
When the AUV travels at the speed of 0.1 m/s, the Reynolds number is 1.99 * 104, so it should be considered as a turbulence model. However, the analysis of turbulent flow field is very complicated. There may be eddy currents of different sizes interfering with each other, which makes the simulation more difficult. Here, we choose standard k-epsilon model to simulate AUV’s movement. It is a common turbulence model, which can be used to solve the external flow problem of complex geometry. It can be described as follows:
where k is kinetic energy, ε is turbulent dissipation rate, α is turbulent Prandtl number, Gk and Gε are kinetic energy changes caused by velocity gradient and buoyancy, YM is fluctuations caused by transitional diffusion in compressible turbulence, C is empirical coefficient, S is custom constant.
2.2 3D Modeling and Meshing
We design a small AUV with flexibility and portability, which can work in lakes and rivers. When AUV is working underwater, different layouts of propellers may have different effects on the resistance. In this section, the influence of propeller layout on its resistance is analyzed through CFD simulation. The 3D models of AUV with different propeller layouts are shown in Fig. 1.
Due to the small size of AUV, it is meshed with the highest-quality unstructured grid in ANSYS software, which is a good way to improve the accuracy of the simulation. The finite element models after meshing are shown in Fig. 2.
We use a 20D*10D*10D cuboid as the computational domain where D is the diameter of AUV (D = 160 mm). The computational domain after meshing and its boundary conditions are shown in Fig. 3. The whole computational domain including AUV is symmetrical about the middle plane, so half of the domain is used to improve the calculation efficiency. During the simulation, AUV is static and different speeds of water are used to simulate different forward speeds of AUV.
2.3 Calculation Results
AUV is set to travels at the speed of 0.6 m/s in water. As shown in the following equation, the resistance to AUV can be calculated:
where CD denotes the resistance coefficient, FD denotes the resistance, ν denotes the speed of AUV, ρ denotes the density of the fluid, and A denotes the cross-sectional area. The resistance coefficients and resistances are shown in Table 1.
From Table 1, we can find that AUV without propeller has the least resistance when running in water. After AUV is equipped with external propellers or internal propellers, its resistance will double. However, the difference between them is small. It can be clearly seen that their efficiency of underwater motion is similar. For the convenience of control, AUV with external propellers is used for the following simulation experiment.
3 Simulation Experiment
AUVs with different pitch angles will be subjected to different forces from water flow. The forces on AUV are calculated by CFD software, and they are analyzed to obtain the hydrodynamic coefficients as well as axial and radial forces of AUV.
3.1 Initial Conditions and Force Analysis
The length-diameter ratio (L/D) of this AUV is 2.1875, and Table 2 shows the initial conditions of the simulation.
As shown in Fig. 4, FL denotes the sinking force, FD denotes the resistance, FA denotes the axial force, FN denotes the radial force, and α denotes the pitch angle. The relationship among them can be described as follows:
According to Eq. (4), we can obtain the resistance and sinking force coefficient:
3.2 Analysis of Simulation Results
When the AUV is moving at different speeds and pitch angles, the resistance and sinking force can be simulated. Simulation results are shown in Table 3 and Table 4.
After visualizing the data, the resistance and sinking force diagrams are shown in Fig. 5 and Fig. 6.
From Fig. 5 and Fig. 6, it is clearly that resistance and sinking force both have a quadratic relationship with Reynolds number. This result is consistent with Eq. (6) and Eq. (7). Meanwhile, the resistance and sinking force are positively correlated to the pitch angle.
Based on the estimated force, the resistance coefficients and the sinking force coefficients can be calculated separately through Eq. (6) and Eq. (7), as shown in Table 5 and Table 6.
The resistance and sinking force coefficients diagrams of AUV are shown in Fig. 7 and Fig. 8. When the Reynolds number is constant, the larger the pitch angle is, the greater the resistance coefficient and sinking force coefficient become. It is because the contact area between AUV and the incoming flow increases. When the pitch angle is constant and the Reynolds number increases, the resistance coefficient and sinking force coefficient tend to be smaller. This is because the resistance coefficient includes the pressure coefficient and the viscous coefficient. The pressure coefficient decreases with the increase of Reynolds number, but the viscous coefficient is almost unchanged. When the pitch angle is 0° and the Reynolds number increases, the relationship among the resistance, pressure force and viscous force is shown in Fig. 9.
To obtain the thrust of propellers, we convert the resistance and sinking force into axial and radial forces with Eq. (5). The axial and radial forces can be offset by the thrust generated by the horizontal propellers and the vertical propellers. It provides data reference for controlling the thrust when AUV is moving at different pitch angles. The axial and radial forces of AUV are shown in Table 7 and Table 8 respectively.
4 Conclusion
In this paper, we apply CFD method to estimate the hydrodynamic coefficients and axial and radial forces of a small AUV. Firstly, we establish a simulation model of the designed AUV with Fluent and analyze the resistances to AUV under different propeller layouts and decide to choose AUV with external propellers. Next, hydrodynamic coefficients of AUV moving in different pitch angles are given by simulation. And we discuss the influence of the Reynolds number and pitch angle on hydrodynamic coefficients. The results show that the resistance and sinking force coefficients of AUV will increase with the increase of the pitch angle and decrease with the increase of Reynolds number. Finally, the axial and radial forces of AUV are calculated, which provides data reference for stability control of AUV. In the future, we plan to verify the effectiveness of the fluid dynamic model by field experiments.
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Acknowledgment
This work was supported in part by the R & D plan of key areas in Guangdong Province (No.2019B090920001), and Shenzhen Bureau of Science Technology and Information of China (No.JCYJ20180306172134024).
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Zhang, G., Lin, Y., Huang, J., Hong, L., Wang, X. (2021). Hydrodynamic Coefficient Estimation of Small Autonomous Underwater Vehicle. In: Liu, XJ., Nie, Z., Yu, J., Xie, F., Song, R. (eds) Intelligent Robotics and Applications. ICIRA 2021. Lecture Notes in Computer Science(), vol 13016. Springer, Cham. https://doi.org/10.1007/978-3-030-89092-6_11
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