MRI: Development of a hyper-sensed environmentally controlled wind tunnel

MRI：超传感环境控制风洞的开发

• 批准号: 1626424
• 负责人: Jeffrey Riffell
• 金额: $ 63.97万
• 依托单位: University of Washington
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2016
• 资助国家: 美国
• 起止时间: 2016-10-01 至 2019-09-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1626424&HistoricalAwards=false
• 关键词: MRI; Development; hyper; sensed; environmentally

1626424 - RiffellThis Major Research Instrumentation Award will support the development of a wind tunnel system instrumented with multiple sensor types that allow feedback from and control of the environment within the tunnel, thereby allowing detailed examination of physical, chemical, and biological processes in a conventional laboratory environment. Located at the University of Washington, this system will enable critical research advances in environmental flow control and sensory neuroscience, as both fields share deep connections involving the fusion of uncertain data for real-time control in a rich sensory environment. The ability to characterize and control highly dynamic processes that occur over short time are increasingly important in a number of research efforts. The integration of multiple sensor information types (chemical, flow, motion) for environmental control will enable advances in sensory neuroscience - where neural systems rapidly process information to affect motor decisions remains a fundamental open problem - and advances in flow control and robotics. Work enabled by this instrument has significant research and commercialization potential, resulting in novel technology and processes to integrate multiple sensor streams into effective control algorithms; for instance, the acquired knowledge and experience will impact robotics and semiautonomous systems for search and rescue, agricultural inspection, and environmental monitoring. This program will also have positive impact on the STEM workforce by supporting additional course offerings and laboratory modules in undergraduate and graduate engineering and biology courses, as well as at the K-12 level by providing demonstrations to students that provide real-world examples for creative opportunities in engineering and neuroscience. An increasing need exists for a state of the art, multi-sensing wind tunnel to study fluid dynamic transport phenomena while also allowing for real-time closed loop control of the wind tunnel environment. Such a system can provide novel insights into bio-inspired research, such as flight control in flapping insect flight or the sensory basis of mosquito navigation to human blood-hosts - while also providing advances in basic fluid dynamical processes, including development of energy harvesting devices, like wind turbines. Currently no commercially available solution is available that enables multimodal sensing (chemical, flow, motion) for environmental control. The unique capabilities of the hypersensed wind tunnel include: (1) coupled analysis of mass spectrometric and PIV systems to illuminate the reaction timescales and turbulent transport of pollutants; (2) new data techniques and laser development for PIV to improve analysis capabilities of existing PIV systems; (3) creating virtual environments based on neural and behavioral feedback from free-flying insects; and (4) advancing closed-loop turbulence control for energy extraction that will translate to technologies in drag reduction, lift increase, mixing enhancement, and noise reduction with countless applications. The findings and results about and from this facility will be disseminated to the research community through conferences, journal publications and news agencies.

1626424 -Riffellthis主要研究仪器奖将支持开发具有多种传感器类型的风隧道系统，可从隧道内的环境中进行反馈和控制，从而详细检查常规实验室环境中的物理，化学和生物学过程。该系统位于华盛顿大学，将在环境流控制和感觉神经科学方面取得重要的研究进展，因为这两个领域都共享涉及在丰富的感官环境中实时控制的不确定数据融合的深厚连接。在许多研究工作中，表征和控制在短时间内发生的高度动态过程的能力越来越重要。多种传感器信息类型的整合（化学，流动，运动）用于环境控制将使感觉神经科学的进步 - 神经系统迅速处理信息以影响运动决策仍然是一个基本的开放问题 - 以及流动控制和机器人技术的进步。该工具启用的工作具有巨大的研究和商业化潜力，从而导致了新的技术和过程，以将多个传感器流纳入有效的控制算法；例如，获得的知识和经验将影响机器人技术和半自动系统，以进行搜救，农业检查和环境监测。该计划还通过支持本科和研究生工程和生物学课程的其他课程和实验室模块，以及在K-12级，通过向学生提供示范为工程和神经科学领域的创作机会提供现实示例的示范，从而对STEM劳动力产生积极影响。对于最新的，多感应的风洞，人们的需求增加了，以研究流体动态传输现象，同时还允许对风隧道环境进行实时闭环控制。这样的系统可以为受生物启发的研究提供新的见解，例如在拍打昆虫飞行中的飞行控制或蚊子导航到人类血液宿主的感觉基础，同时还提供了基本流体动力学过程的进步，包括开发能量收集设备，例如风力涡轮机。目前尚无可用的市售解决方案，可用于环境控制的多模式传感（化学，流动，运动）。高度风洞的独特功能包括：（1）质谱和PIV系统的耦合分析，以照亮污染物的反应时间尺度和湍流转运； （2）PIV的新数据技术和激光开发，以提高现有PIV系统的分析功能； （3）基于自由飞行昆虫的神经和行为反馈创建虚拟环境； （4）推进闭环湍流控制能量提取的控制，这将转化为减少阻力，提升增加，混合增强以及与无数应用的降噪功能的技术。有关该设施的发现和结果将通过会议，期刊出版物和新闻机构传播到研究社区。