RUI: Collaborative Research: Optimized design principles inspired by compliant natural propulsors.

RUI：协作研究：受顺应自然推进器启发的优化设计原则。

• 批准号: 2100705
• 负责人: John Costello
• 金额: $ 15万
• 依托单位: Providence College
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2021
• 资助国家: 美国
• 起止时间: 2021-05-01 至 2025-04-30
• 项目状态: 未结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2100705&HistoricalAwards=false
• 关键词: RUI; Collaborative; Research; Optimized; design

High efficiency is a fundamental design goal of vehicles moving through both air and water. Although most human designs of propulsors such as wings or propellers are rigid, natural propulsors are generally flexible. Propulsive efficiencies of natural flyers and swimmers are typically higher than human-designed vehicles of similar weight and dimensions. However, attempts to emulate flexible animal designs have met with limited success. Recent comparative animal studies have demonstrated startlingly consistent patterns of bending kinematics among a broad diversity of swimmers and flyers constructed from very different materials and of very different physical dimensions. These patterns encompass cilia to whale flukes and fluid regimes from water to air. This project will use computational fluid dynamics and particle image velocimetry to measure fluid velocities to investigate the mechanical and fluid dynamic details that enable high force production by flexible natural propulsors. K-12 outreach activities are planned at the universities and at the Cabrillo Aquarium in San Pedro, CA and undergraduate and graduate student involvement is core to the research project. The goal of this project is to develop a set of design rules that govern force production by flexible propulsors. To achieve this goal, experiments and computations will be used to investigate: a) bending kinematics of propulsors as control surfaces of vorticity, pressure fields and thrust, b) the hydrodynamic basis of vortex-vortex interactions that generate pressure fields and thrust and c) the advantageous limits of bending kinematics. Each of these will be investigated using a combination of experiments (particle image velocimetry) with natural organisms and computational fluid dynamic models. The results of this project will define the necessary design criteria that enable performance enhancement by bending propulsors of different types and across a range of fluid regimes. While contributing to interpretation of the natural world, the results will also contribute to novel engineered designs ranging from biomedical applications (cilia) to vehicle design (swimming, flight).This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

高效率是空气和水中移动车辆的基本设计目标。 尽管大多数人类设计的推进器（例如机翼或螺旋桨）都是刚性的，但天然推进器通常是柔性的。自然飞行者和游泳者的推进效率通常高于重量和尺寸相似的人造车辆。然而，模仿灵活的动物设计的尝试取得的成功有限。最近的比较动物研究表明，由不同材料和不同物理尺寸构成的各种游泳者和飞行者的弯曲运动学模式惊人地一致。这些模式包括纤毛到鲸鱼的尾鳍以及从水到空气的流体状态。该项目将使用计算流体动力学和粒子图像测速技术来测量流体速度，以研究机械和流体动力学细节，从而使柔性自然推进器能够产生强大的力量。 K-12 的外展活动计划在大学和加利福尼亚州圣佩德罗的卡布里洛水族馆进行，本科生和研究生的参与是该研究项目的核心。该项目的目标是开发一套控制柔性推进器产生力的设计规则。为了实现这一目标，将使用实验和计算来研究：a）作为涡量、压力场和推力控制面的推进器的弯曲运动学，b）产生压力场和推力的涡旋相互作用的流体动力学基础，c）弯曲运动学的有利限制。每一个都将通过实验（粒子图像测速）与自然生物体和计算流体动力学模型的结合进行研究。该项目的结果将定义必要的设计标准，通过弯曲不同类型和一系列流体状态的推进器来提高性能。在有助于解释自然世界的同时，研究结果还将有助于从生物医学应用（纤毛）到车辆设计（游泳、飞行）的新颖工程设计。该奖项反映了 NSF 的法定使命，并通过使用基金会的智力价值和更广泛的影响审查标准。

项目成果

Active tail flexion in concert with passive hydrodynamic forces improves swimming speed and efficiency

• DOI: 10.1017/jfm.2021.984
• 发表时间: 2021-04
• 期刊: Journal of Fluid Mechanics
• 影响因子: 3.7
• 作者: Haotian Hang;Sina Heydari;J. Costello;E. Kanso

Developing Biohybrid Robotic Jellyfish (Aurelia aurita) for Free-swimming Tests in the Laboratory and in the Field

开发生物混合机器人水母（Aurelia aurita），用于实验室和现场的自由游泳测试

• DOI: 10.21769/bioprotoc.3974
• 发表时间: 2021
• 期刊: BIO-PROTOCOL
• 影响因子: 0.8
• 作者: Xu, Nicole;Townsend, James;Costello, John;Colin, Sean;Gemmell, Brad;Dabiri, John
• 通讯作者: Dabiri, John

Enhanced flight performance in non-uniformly flexible wings

• DOI: 10.1098/rsif.2020.0352
• 发表时间: 2020-04
• 期刊: Journal of the Royal Society Interface
• 影响因子: 3.9
• 作者: L. Vincent;Min Zheng;J. Costello;E. Kanso

Turning kinematics of the scyphomedusa Aurelia aurita

• DOI: 10.1088/1748-3190/ad1db8
• 发表时间: 2024-03-01
• 期刊: BIOINSPIRATION & BIOMIMETICS
• 影响因子: 3.4
• 作者: Costello，J. H.;Colin，S. P.;Kanso，E. A.
• 通讯作者: Kanso，E. A.

SoJel –A 3D printed jellyfish-like robot using soft materials for underwater applications

• DOI: 10.1016/j.oceaneng.2023.114427
• 发表时间: 2023-07
• 期刊: Ocean Engineering
• 影响因子: 5
• 作者: Pawandeep Singh Matharu;Zhong Wang;J. Costello;S. Colin;R. Baughman;Yonas T. Tadesse