Hydrodynamic Characteristics Research and Structure Optimization of Hadal Lander with Hydrofoil

doi:10.3901/JME.2024.02.209

Abstract

Abstract: In order to control the falling velocity and the motion trajectory of hadal lander, the hydrofoil is designed and installed on the hadal lander, which is of high efficiency and low energy consumption. The hadal lander with hydrofoil is taken as research object, the kinematics model and hydrodynamic model are established, the evolution law of flow field around hadal lander in the falling process is numerically analyzed by the commercial software Fluent, and the slow falling mechanism based on hydrofoil is clarified. Besides, the structural parameters and the opening angle of hydrofoil are optimized based on the optimal Latin hypercube sampling method, the Gaussian process regression method, the Sobol' global sensitivity analysis method and the NSGA-III multi-objective optimization algorithm. It shows that the opening angle of hydrofoil is the major factor affecting the falling velocity. The hydrofoil could increase the additional mass of fluid around the hadal lander and weaken the conversion of the hadal lander’s gravitational potential energy towards the hadal lander’s kinetic energy, which is the mechanism of hydrofoil to reduce the falling velocity of hadal lander. The structure with hydrofoil will do favor in the design and application of hadal lander.

Key words: lander, hydrofoil, hydrodynamic characteristics, structure optimization

CLC Number:

TH69

XUE Gang, LIU Yanjun, XUE Yifan, GUO Lei. Hydrodynamic Characteristics Research and Structure Optimization of Hadal Lander with Hydrofoil[J]. Journal of Mechanical Engineering, 2024, 60(2): 209-223.

References

[1] TENGBERG A, de BOVEE F, HALL P, et al. Benthic chamber and profile landers in oceanography-A review of design, technical solutions and functioning[J]. Progress in Oceanography, 1995, 35:253-294.
[2] CUI W. An overview of submersible research and development in China[J]. Journal of Marine Science and Application, 2018, 17(4):459-470.
[3] PFANNKUCHE O, LINKE P. GEOMAR landers as long-term deep-sea observatories[J]. Sea Technology, 2003, 44(9):50-55.
[4] WEI Z F, LI W L, LI J, et al. Multiple in situ nucleic acid collections (MISNAC) from deep-sea waters[J]. Frontiers in Marine Science, 2020, 7:81.
[5] BARCLAY D R, SIMONET F, BUCKINGHAM M J. Deep sound:A free-falling sensor platform for depth-profiling ambient noise in the deep ocean[J]. Marine Technology Society Journal, 2009, 43(5):144-150.
[6] 邹大鹏, 肖体兵, 龙建军, 等.海底表层沉积物声速特性研究进展与探讨[J].海洋学报, 2019, 41(1):160-171.
ZOU Dapeng, XIAO Tibing, LONG Jianjun, et al. Research progress and discussion on sound velocity characteristics of seafloor surface sediments[J]. Haiyang Xuebao, 2019, 41(1):160-171.
[7] JIA Y, ZHU C, LIU L, et al. Marine geohazards:Review and future perspective[J]. Acta Geologica Sinica-English Edition, 2016, 90(4):1455-1470.
[8] BLACK K S, FONES G R, PEPPE O C, et al. An autonomous benthic lander:Preliminary observations from the UK BENBO thematic programme[J]. Continental Shelf Research, 2001, 21(8-10):859-877.
[9] 王俊珠, 覃楚倩, 罗旭龙, 等.静力触探在水合物勘探中的应用[J].海洋地质前沿, 2019, 35(11):52-59.
WANG Junzhu, QIN Chuqian, LUO Xulong, et al. Application prospect of CPT in gas hydrate exploration[J]. Marine Geology Frontiers, 2019, 35(11):52-59.
[10] TRÉHU A M, de MOOR A, MADRID J M, et al. Post-seismic response of the outer accretionary prism after the 2010 Maule earthquake, Chile[J]. Geosphere, 2020, 16(1):13-32.
[11] JAMIESON A J, FUJII T, SOLAN M, et al. HADEEP:Free-falling landers to the deepest places on Earth[J]. Marine Technology Society Journal, 2009, 43(5):151-160.
[12] LINLEY T D, GERRINGER M E, YANCEY P H, et al. Fishes of the hadal zone including new species, in situ observations and depth records of Liparidae[J]. Deep Sea Research Part I:Oceanographic Research Papers, 2016, 114:99-110.
[13] 陈俊, 张奇峰, 李俊, 等.深渊着陆器技术研究及马里亚纳海沟科考应用[J].海洋技术学报, 2017, 36(1):63-69.
CHEN Jun, ZHANG Qifeng, LI Jun, et al. Research on the application of the hadal lander technology in the mariana trench[J]. Journal of Ocean Technology, 2017, 36(1):63-69.
[14] 于新生, 阎子衿, 朱明亮, 等.自主式深海海底溶质通量原位观测站研究进展[J].海洋科学, 2017, 41(6):150-161.
YU Xinsheng, YAN Zijin, ZHU Mingliang, et al. Review of seabed landers for monitoring solute fluxes in deep sea[J]. Marine Sciences, 2017, 41(6):150-161.
[15] 崔维成.载人深渊探测器的研究进展[J].科学, 2017, 69(4):4-9.
CUI Weicheng. Process in human occupied vehicle research[J]. Science, 2017, 69(4):4-9.
[16] BAKER C A, ESTAPA M L, IVERSEN M, et al. Are all sediment traps created equal?An intercomparison study of carbon export methodologies at the PAP-SO site[J]. Progress in Oceanography, 2020:102317.
[17] CHEN J, HUANG Y, LIN Y, et al. A novel sediment pressure sampling device carried by a hadal-rated lander[J]. Journal of Marine Science and Engineering, 2020, 8(11):839.
[18] 张红, 贾永刚, 刘晓磊, 等.全海深海底沉积物力学特性原位测试技术[J].海洋地质前沿, 2019, 35(2):1-9.
ZHANG Hong, JIA Yonggang, LIU Xiaolei, et al. Progress in in-situ measurement of sediment mechanical properties for full ocean depth[J]. Marine Geology Frontier, 2019, 35(2):1-9.
[19] XUE G, LIU Y, GUO L, et al. Optimization on motion-robust and energy-saving controller for hydraulic penetration system of seabed equipment[J]. Proceedings of the Institution of Mechanical Engineers, Part M:Journal of Engineering for the Maritime Environment, 2021, 235(3):792-808.
[20] RICHARDSON M D, BRIGGS K B. In situ and laboratory geoacoustic measurements in soft mud and hard-packed sand sediments:Implications for high-frequency acoustic propagation and scattering[J]. Geo-Marine Letters, 1996, 16(3):196-203.
[21] 刘涛, 柴万里, 郭磊.基于FBG的深海沉积物孔压观测设备研究[J].中国海洋大学学报, 2017, 47(10):126-133.
LIU Tao, CHAI Wanli, GUO Lei. FBG based instrument for marine sediment pore pressure research[J]. Periodical of Ocean University of China, 2017, 47(10):126-133.
[22] CHEN J, ZHANG Q, ZHANG Y, et al. Scientific investigation application of hadal landers in the Mariana Trench[C]//OCEANS 2017-Anchorage. IEEE, 2017:1-8.
[23] SPAGNOLI F, PENNA P, GIULIANI G, et al. The AMERIGO lander and the automatic benthic chamber (CBA):Two new instruments to measure benthic fluxes of dissolved chemical species[J]. Sensors, 2019, 19(11):2632.
[24] 陈瀚, 丘学林, 贺恩远, 等.深渊着陆器坐底位置的精确测量和反演计算[J].地球物理学报, 2019, 62(5):1744-1754.
CHEN Han, QIU Xuelin, HE Enyuan, et al. Accurate measurement and inversion for the seafloor positions of hadal landers[J]. Chinese Journal of Geophysics, 2019, 62(5):1744-1754.
[25] SCHMIDT W E, SIEGEL E. Free descent and on bottom ADCM measurements in the Puerto Rico Trench, 19.77° N, 67.40° W[J]. Deep Sea Research Part I:Oceanographic Research Papers, 2011, 58(9):970-977.
[26] MORTENSEN A C, LANGE R E. Design considerations of wing stabilized free-fall vehicles[C]//Deep Sea Research and Oceanographic Abstracts. Elsevier, 1976, 23(12):1231-1240.
[27] 李彬, 崔胜国, 唐实, 等.深海生态过程长期定点观测系统研发及冷泉区科考应用[J].高技术通讯, 2019, 29(7):675-684.
LI Bin, CUI Shengguo, TANG Shi, et al. Development and application of the long-term fixed point observation system of deep-sea ecological process[J]. Chinese High Technology Letters, 2019, 29(7):675-684.
[28] ANDERLINI E, PARKER G G, THOMAS G. Control of a ROV carrying an object[J]. Ocean Engineering, 2018, 165:307-318.
[29] 祝连庆, 孙广开, 李红, 等.智能柔性变形机翼技术的应用与发展[J].机械工程学报, 2018, 54(14):28-42.
ZHU Lianqing, SUN Guangkai, LI Hong, et al. Intelligent and flexible morphing wing technology:A review[J]. Journal of Mechanical Engineering, 2018, 54(14):28-42.
[30] YANG M, WANG Y, WANG S, et al. Motion parameter optimization for gliding strategy analysis of underwater gliders[J]. Ocean Engineering, 2019, 191:106502.
[31] 李晔, 刘建成, 徐玉如, 等.带翼水下机器人运动控制的动力学建模[J].机器人, 2005(2):128-131.
LI Ye, LIU Jiancheng, XU Yuru, et al. Dynamics modeling for motion control of underwater vehicle with wing[J]. Robot, 2005(2):128-131.
[32] SHANG X, CHAO T, MA P, et al. An efficient local search-based genetic algorithm for constructing optimal Latin hypercube design[J]. Engineering Optimization, 2019:1-17.
[33] RASMUSSEN C E, WILLIAMS C K I. Gaussian processes for machine learning[M]. Cambridge, MA:MIT Press, 2006.
[34] GELBART M A, SNOEK J, ADAMS R P. Bayesian optimization with unknown constraints[J]. arXiv:1403.5607, 2014.
[35] SONG Y, WANG Y, YANG S, et al. Sensitivity analysis and parameter optimization of energy consumption for underwater gliders[J]. Energy, 2020, 191:116506.
[36] TIAN Y, CHENG R, ZHANG X, et al. PlatEMO:A MATLAB platform for evolutionary multi-objective optimization[educational forum][J]. IEEE Computational Intelligence Magazine, 2017, 12(4):73-87.
[37] DEB K, JAIN H. An evolutionary many-objective optimization algorithm using reference-point-based nondominated sorting approach, part I:Solving problems with box constraints[J]. IEEE Transactions on Evolutionary Computation, 2013, 18(4):577-601.