平滑粒子流体力学能否模拟水下航行器的物理真实运动?

IF 1.4 4区 计算机科学 Q4 ROBOTICS
Nicolas Gartner, Niels Montanari, Mathieu Richier, Vincent Hugel, Ramprasad Sampath
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The results show that buoyancy is respected, and that spherical objects reach a speed limit in accordance with the laws of physics. In addition, added-mass is simulated with 20 % variation on average with respect to the reference and varies homothetically with respect to the object's size. In contrast, drag forces cannot not be simulated with the same level of realism without reducing the particle size, which makes the simulation last longer. SPH for underwater robotics simulation appears to be promising, and ways of further improvements are being considered.Keywords: Fluid-solid interactionunderwater roboticssmoothed particle hydrodynamicshydrodynamic parameterscomputational fluid dynamics AcknowledgmentsThis work is a result of the collaboration of Centroid LAB Inc. (Los Angeles, USA), which develops the Neutrino software, and the Laboratoire COSMER (Toulon, France).Disclosure statementNo potential conflict of interest was reported by the author(s).Additional informationFundingThis work was partly supported by the Direction Générale de l'Armement, DGA RAPID grant in partnership with SUBSEA-TECH (Marseille, France) and ROBOPEC (Six-Fours-les-Plages, France).Notes on contributorsNicolas GartnerNicolas Gartner received his Master's degree in Engineering from SIGMA Clermont in 2016, formerly Institut Français de Mécanique Avancée, and his PhD degree from the University of Toulon in 2020. This research was conducted during his postdoc at the University of Toulon. He currently serves the Centre Technologique Méditerranéen de Métrologie. 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引用次数: 0

摘要

摘要本文首次提出了利用光滑粒子流体力学(SPH)技术模拟水下航行器运动的结果,以达到足够的物理真实感和计算时间性能。目的不是为了得到非常精确的水动力参数值,而是为了表明SPH可以模拟与参考相同数量级的水动力参数,从而实现对水中机器人的真实控制。首先,对球形物体进行模拟,以检查浮力的真实感、速度限制的存在性以及与参考值进行比较的流体动力参数。然后,比较了胶囊形状物体和真实鱼雷形状水下机器人的水平和垂直运动。结果表明,该方法考虑了浮力,并且球形物体达到了符合物理定律的速度极限。此外,模拟的附加质量相对于参照物平均有20%的变化,并且相对于物体的大小有均匀的变化。相比之下,如果不减小颗粒尺寸,就不能以相同的逼真度模拟阻力,这使得模拟持续时间更长。SPH用于水下机器人模拟似乎很有前途,并且正在考虑进一步改进的方法。关键词:流固相互作用水下机器人光滑粒子流体动力学流体动力学参数计算流体动力学致谢这项工作是开发中微子软件的质心实验室公司(美国洛杉矶)和COSMER实验室(法国土伦)合作的结果。披露声明作者未报告潜在的利益冲突。这项工作的部分资金由Direction gsamnsamrale de l'Armement, DGA RAPID资助,与SUBSEA-TECH(法国马赛)和ROBOPEC(法国six - fourles - plages)合作。尼古拉斯·高德纳(nicolas Gartner)于2016年获得西格玛克莱蒙特大学(SIGMA Clermont)的工程学硕士学位,该大学前身为法国 技术研究所(Institut francaais de msamcanique avancemade),并于2020年获得土伦大学(University of Toulon)的博士学位。这项研究是他在土伦大学做博士后期间进行的。他目前服务于msamdterransamendemsamtrogie技术中心。他的研究工作主要集中在水下机器人和利用SPH等流体模拟技术评估流体动力学性能。Niels Montanari分别在波尔多理工学院、格勒诺布尔-阿尔卑斯大学和巴黎萨克雷大学获得计算机科学、应用数学和环境物理学硕士学位。自2015年以来,他一直在质心实验室工作,担任模拟和软件工程师,从事研究和开发基于无网格颗粒的方法,用于模拟各种工业应用中的流体流动。Mathieu Richier于2005年毕业于法国利摩日国立高等电子和电子技术学院,获得机电一体化学位。他于2013年在法国Clermont Auvergne大学获得博士学位。2014年加入土伦大学,任副教授。他的研究主要集中在水动力建模、观测算法的实现和水下航行器机电系统的开发。Vincent HugelVincent Hugel分别于1999年和2007年获得巴黎第六大学机器人博士学位和法国凡尔赛大学机器人研究学位。自2014年以来,他是土伦大学的正教授,并领导法国土伦的Cosmer实验室(机器人系统设计),在那里他正在进行自主机器人和水下航行器的研究。Ramprasad Sampath, 1992年获得Birla Institute of Technology and science的计算机科学硕士学位,1995年获得University of South Carolina的计算机科学硕士学位。1995年至2013年期间,他在不同的视觉效果工作室担任技术总监和高级技术总监。自2013年以来,他一直在Centroid LAB工作,现任首席执行官兼研发总监。主要研究方向为粒子流体模拟和火灾模拟。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Can smoothed particle hydrodynamics simulate physically realistic movements of underwater vehicles?
AbstractThis work presents the first results using Smoothed Particle Hydrodynamics (SPH), a mesh-free technique, to simulate underwater vehicle motion with the goal of achieving sufficient physical realism and computation time performance capabilities. The objective is not to get very accurate values for the hydrodynamic parameters, but to show that SPH can simulate hydrodynamic parameters with the same order of magnitude as the reference, in order to allow a realistic control of robots in water. First, spherical objects are simulated to check buoyancy realism, speed limit existence, and hydrodynamic parameters in comparison with reference values. Then, horizontal and vertical movements of a capsule-shape object and a real torpedo-shape underwater robot are compared. The results show that buoyancy is respected, and that spherical objects reach a speed limit in accordance with the laws of physics. In addition, added-mass is simulated with 20 % variation on average with respect to the reference and varies homothetically with respect to the object's size. In contrast, drag forces cannot not be simulated with the same level of realism without reducing the particle size, which makes the simulation last longer. SPH for underwater robotics simulation appears to be promising, and ways of further improvements are being considered.Keywords: Fluid-solid interactionunderwater roboticssmoothed particle hydrodynamicshydrodynamic parameterscomputational fluid dynamics AcknowledgmentsThis work is a result of the collaboration of Centroid LAB Inc. (Los Angeles, USA), which develops the Neutrino software, and the Laboratoire COSMER (Toulon, France).Disclosure statementNo potential conflict of interest was reported by the author(s).Additional informationFundingThis work was partly supported by the Direction Générale de l'Armement, DGA RAPID grant in partnership with SUBSEA-TECH (Marseille, France) and ROBOPEC (Six-Fours-les-Plages, France).Notes on contributorsNicolas GartnerNicolas Gartner received his Master's degree in Engineering from SIGMA Clermont in 2016, formerly Institut Français de Mécanique Avancée, and his PhD degree from the University of Toulon in 2020. This research was conducted during his postdoc at the University of Toulon. He currently serves the Centre Technologique Méditerranéen de Métrologie. His research work is focused on underwater robotics and the evaluation of hydrodynamics performance using fluid simulation techniques like SPH.Niels MontanariNiels Montanari holds Master's degrees in computer science, applied mathematics and environmental physics, from the Bordeaux Institute of Technology, Grenoble-Alpes University and Paris-Saclay University, respectively. Since 2015, he has worked for Centroid LAB as a simulation & software engineer, performing research and development work on mesh-free particle-based methods for simulating fluid flows in various industry applications.Mathieu RichierMathieu Richier graduated from the Ecole Nationale Supérieure d'Ingénieur de Limoges in 2005 with a degree in mechatronics. He finished his PhD in 2013 at IRSTEA / University of Clermont Auvergne. In 2014, he joined the University of Toulon as an Associate Professor. His research focuses on hydrodynamic modeling, the implementation of observation algorithms and the development of mechatronic systems for underwater vehicles.Vincent HugelVincent Hugel received the Ph.D. degree in robotics from the University of Paris VI, and the Robotics Research degree from the University of Versailles, France, in 1999, and 2007, respectively. Since 2014, he is a Full Professor at the University of Toulon and leads the Cosmer Lab (Design of robotic systems), Toulon, France, where he is conducting research on autonomous robots and underwater vehicles.Ramprasad SampathRamprasad Sampath received his Msc in computer science from the Birla Institute of Technology and Science in 1992 and the University of South Carolina in 1995. During the years 1995–2013, he worked in different visual effects studios as a Technical Director and Senior Technical Director. Since 2013 he has been working at Centroid LAB and is currently CEO and Director of Research Development. His work mainly focuses on particle fluid simulation and fire simulations.
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来源期刊
Advanced Robotics
Advanced Robotics 工程技术-机器人学
CiteScore
4.10
自引率
20.00%
发文量
102
审稿时长
5.3 months
期刊介绍: Advanced Robotics (AR) is the international journal of the Robotics Society of Japan and has a history of more than twenty years. It is an interdisciplinary journal which integrates publication of all aspects of research on robotics science and technology. Advanced Robotics publishes original research papers and survey papers from all over the world. Issues contain papers on analysis, theory, design, development, implementation and use of robots and robot technology. The journal covers both fundamental robotics and robotics related to applied fields such as service robotics, field robotics, medical robotics, rescue robotics, space robotics, underwater robotics, agriculture robotics, industrial robotics, and robots in emerging fields. It also covers aspects of social and managerial analysis and policy regarding robots. Advanced Robotics (AR) is an international, ranked, peer-reviewed journal which publishes original research contributions to scientific knowledge. All manuscript submissions are subject to initial appraisal by the Editor, and, if found suitable for further consideration, to peer review by independent, anonymous expert referees.
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