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Verification of CFD analysis methods for predicting the drag force and thrust power of an underwater disk robot 원문보기

International journal of naval architecture and ocean engineering, v.6 no.2, 2014년, pp.269 - 281  

Joung, Tae-Hwan (School of Computer Science, Engineering and Mathematics, Flinders University) ,  Choi, Hyeung-Sik (Division of Mechanical and Energy Systems Engineering, Korea Maritime University) ,  Jung, Sang-Ki (Division of Mechanical and Energy Systems Engineering, Korea Maritime University) ,  Sammut, Karl (School of Computer Science, Engineering and Mathematics, Flinders University) ,  He, Fangpo (School of Computer Science, Engineering and Mathematics, Flinders University)

Abstract AI-Helper 아이콘AI-Helper

This paper examines the suitability of using the Computational Fluid Dynamics (CFD) tools, ANSYS-CFX, as an initial analysis tool for predicting the drag and propulsion performance (thrust and torque) of a concept underwater vehicle design. In order to select an appropriate thruster that will achiev...

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제안 방법

  • A VPMM test is carried out with the aim of measuring the hydrodynamic forces on the vehicle when changing the motion of the vehicle in the vertical direction. The hydrodynamic forces from the VPMM test are obtained for the pure heaving motion and the pure pitching motion of the vehicle.
  • The results of the CFD analysis for the ducted thruster were compared for validation purposes with the experimental test results that were obtained using a specially designed thrust measurement system. In order to further verify the validity of the CFD modeling process, a CFD model of a commercial thruster was developed and analysed and the estimated thrust performance characteristics compared against the corresponding physical test data as supplied by the thruster manufacturer.
  • In the work reported in this article, CFD analysis was first used to conduct the resistance test necessary to predict the total drag force for selecting an appropriate thruster that will achieve the required speed of the UDR. Pure heaving motion and pure pitching motion studies were then carried out to emulate the VPMM test by CFD motion analysis.
  • Next, the hydrodynamic forces on the UDR body were obtained from the CFD motion analysis for the pure heaving and pure pitching motion. The added mass and inertia force of the vehicle will be derived from these hydrodynamic forces in the next research step.
  • The drag estimation was conducted first using CFD analysis with a mesh convergence study performed to validate the CFD analysis. The results of the mesh convergence study indicate the mesh size selected for the CFD anlaysis was considered to be of sufficient accuracy.
  • Finally, the custom designed ducted propulsion system that is employed in the UDR was also analysed using CFD tools. The results of the CFD analysis for the ducted thruster were compared for validation purposes with the experimental test results that were obtained using a specially designed thrust measurement system. In order to further verify the validity of the CFD modeling process, a CFD model of a commercial thruster was developed and analysed and the estimated thrust performance characteristics compared against the corresponding physical test data as supplied by the thruster manufacturer.
  • A test system for measuring the bollard pull thrust force of the horizontal ducted thrusters was developed and manufactured for a test, and thrust powers obtained for a sample batch of thrusters. The thrusters were then modeled and analysed, using the CFD tools, and their predicted thrust characteristics measured. The averaged value of the measured data from the bollard pull test was compared with CFD analysis data and results were shown to correspond well as the revolution speed increases for the forward case.

대상 데이터

  • The body of the UDR is designed as a disk shaped vehicle in order to minimize the effect of external disturbances such as currents and waves. The UDR is composed of hull and frame structure, three vertical thrusters, three horizontal thrusters, a control system and sensors. The thrusters are mounted axi-symmetrically at an angle of 120 degrees to enable the UDR to navigate along any direction by vector summation with the propulsion controller.
  • 18. The experimental test results were obtained from the bollard pull tests with nine copies of the 300W thruster. The averaged value of the test results and CFD analysis result are compared.
  • 13. The meshing operation, which was performed using ANSYS Workbench-CFX-Mesh, generated a mesh with 5,281,598 elements and 1,441,134 nodes. A structured layer mesh (Prism elements, 20 layers) was employed as the boundary layer.
  • 10. The propeller has seven blades, and the pitch and diameter of the blades are 12.8mm and 111.15mm (the diameter including the duct is 141.72mm), respectively. The diameter of the hub is 54mm and the gap between the inside of the duct and the blade tips is 4.
  • The propeller revolution speed was measured with a laser tachometer and thrust powers were calculated based on the obtained voltages with the load cell. The tests were carried out with the thrust power measurement system at the Circular Water Channel (CWC) tank facility at Korea Maritime University. Fig.

이론/모형

  • For these calculations, the fluid’s motion is modeled using the incompressible, isothermal Reynolds-averaged-Navier-Stokes (RANS) equations in order to determine the Cartesian flow field and pressure of the water around the UDR body.
  • The fluid flow around the UDR has been modeled using the commercial CFD analysis code ANSYS-CFX 14.0. For these calculations, the fluid’s motion is modeled using the incompressible, isothermal Reynolds-averaged-Navier-Stokes (RANS) equations in order to determine the Cartesian flow field and pressure of the water around the UDR body.
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참고문헌 (11)

  1. ANSYS Inc., 2011. ANSYS CFX-solver theory guide: release 14.0. Canonsburg: ANSYS Ltd.. 

  2. Bellingham, J.G., Zhang, Y., Kerwin, J.E., Erikson, J., Hobson, B., Kieft, B., Godin, M., McEwen, R., Hoover, T., Paul, J., Hamilton, A., Franklin, J. and Banka A., 2010. Efficient propulsion for the Tethys long-range autonomous underwater vehicle. Autonomous Underwater Vehicles (AUV), 2010 IEEE/OES, pp.1-7. 

  3. CFX-TASCow, 2002. Computational fluid dynamics software theory documentation (Version 2.12). Pittsburgh: AEA Technology Engineering Software Ltd. 

  4. Joung, T.H., Sammut K., He, F. and Lee, S.K., 2012. Shape optimization of an autonomous underwater vehicle with a ducted propeller using computational fluid dynamics analysis. International Journal of Naval Architecture & Ocean Engineering, 4, pp.44-56. 

  5. Lee, S.K., Joung, T.H., Cheon, S.J., Jang, T.S. and Lee, J.H., 2011. Evaluation of the added mass for a spheroid-type unmanned underwater vehicle by vertical planar motion mechanism test. International Journal of Naval Architecture and Ocean Engineering, 3, pp.174-180. 

  6. Nishi, Y., Kashiwagi, M., Koterayama, W., Nakamura, M., Samuel S.Z.H., Yamamoto, I. and Hyakudome, T., 2007. Resistance and Propulsion Performance of an Underwater Vehicle Estimated by a CFD Method and Experiment, ISOPE '07, Lisbon, Spain, 1-6 July 2007, pp.2045-2052. 

  7. Phillips, A.B., Stephen, R.T. and Maaten, F., 2008. Comparisons of CFD simulations and in-service data for the self propelled performance of an autonomous underwater vehicle. 27th Symposium on Naval Hydrodynamics, Seoul, Korea, 05-10 October 2008, pp.15. 

  8. Tecnadyne Co., 2014. Model 300 DC brushless thruster. [pdf] San Diego: Tecnadyne Co. Avilable at : [Accessed 25 March 2014]. 

  9. Wickstrom, T.B., 2007. Fan modeling for front end cooling with CFD. Master's thesis. Luea University of Technology of Sweden. 

  10. Yu, X. and Su, Y. 2010. Hydrodynamic performance calculation on mini-automatic underwater vehicle. Information and Automation (ICIA), 2010 IEEE International Conference, Harbin, 20-23 June 2010, pp.1319-1324. 

  11. Yuh, J. 2000. Design and control of autonomous underwater robots: A survey. Autonomous Robots, 8, pp.7-24. 

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