UNS: Collaborative Research: Fluid mechanical basis of universal natural propulsor bending patterns

UNS：合作研究：通用自然推进器弯曲模式的流体力学基础

• 批准号: 1511333
• 负责人: John Dabiri
• 金额: $ 10.33万
• 依托单位: Stanford University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2015
• 资助国家: 美国
• 起止时间: 2015-08-01 至 2018-07-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1511333&HistoricalAwards=false
• 关键词: UNS; Collaborative; Research; Fluid; mechanical

#1511721 / #1511333 / #1510929 / #1511996Costello, John H. / Dabiri, John, Colin, Sean / Gemmell, BradThe goal of the proposed study is to investigate the mechanisms by which different swimming animals propel and maneuver themselves in order to identify common flow characteristics. Results of this work will be applicable to the engineering of vehicles that can bend and twist, mimicking efficient swimmers from nature.Efficient swimmers in nature appear to exhibit common traits in the bending and twisting of their bodies. While the effects of other morphological characteristics of swimmers have been explored, this is an area that we do not have a good understanding. The basic hypothesis is that the bending kinematics among various species are similar, and these unifying characteristics need to be discovered. Validation of the hypothesis to the broader animal kingdom will be tested using animal informatics. The proposed work focuses on the study of the propulsion of three different model animals (jellyfish, pteropods and lamprey), so that the common swimming traits can be identified, characterized and theoretically analyzed. State-of-the-art experimental techniques (such as 2D and 3D particle image velocimetry and holographing imaging) will be used to quantify the flow, the forces, the torque and the pressure fields generated during bending by these animal models. The final goal is to provide not only quantitative but also predictive evaluation of the fluid dynamic effects of propulsor bending.

#1511721 / #1511333 / #1510929 /#1511996约翰·科斯特洛这项研究的目的是研究不同游泳动物推进和操纵自己的机制，以确定共同的流动特征。这项工作的结果将适用于工程的车辆，可以弯曲和扭曲，模仿高效率的游泳者从natural.Efficient游泳者在自然界中似乎表现出共同的特点，在弯曲和扭曲他们的身体。虽然已经探索了游泳运动员的其他形态特征的影响，但这是一个我们没有很好理解的领域。基本假设是，不同物种之间的弯曲运动学是相似的，这些统一的特征需要被发现。将使用动物信息学来验证更广泛的动物王国的假设。拟开展的工作重点是研究三种不同的模式动物（水母，翼足类和七鳃鳗）的推进力，以便识别，表征和理论分析共同的游泳特征。国家的最先进的实验技术（如2D和3D粒子图像测速和全息成像）将被用来量化的流量，力，扭矩和压力场弯曲过程中产生的这些动物模型。 最终的目标是提供不仅定量，而且预测评估的流体动力学影响的推进器弯曲。