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 -Riffell这一重大研究仪器奖将支持开发一种装有多种传感器类型的风洞系统，这些传感器类型允许对隧道内的环境进行反馈和控制，从而允许在传统的实验室环境中对物理，化学和生物过程进行详细检查。该系统位于华盛顿大学，将使环境流量控制和感觉神经科学的关键研究进展，因为这两个领域都有着深刻的联系，涉及在丰富的感官环境中融合不确定数据进行实时控制。在许多研究工作中，表征和控制短时间内发生的高度动态过程的能力越来越重要。集成多种传感器信息类型（化学，流动，运动）用于环境控制将使感觉神经科学的进步-神经系统快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。该仪器所实现的工作具有重大的研究和商业化潜力，从而产生了将多个传感器流集成到有效控制算法中的新技术和流程;例如，所获得的知识和经验将影响机器人和半自主系统，用于搜索和救援，农业检查和环境监测。该计划还将通过支持本科生和研究生工程和生物学课程中的额外课程和实验室模块，以及通过向学生提供演示来对STEM劳动力产生积极影响，这些演示为工程和神经科学中的创造性机会提供了现实世界的例子。越来越需要一种最先进的多传感风洞来研究流体动力学传输现象，同时还允许对风洞环境进行实时闭环控制。这种系统可以为生物启发研究提供新的见解，例如扑翼昆虫飞行的飞行控制或蚊子导航到人类血液宿主的感觉基础，同时还提供基本流体动力学过程的进展，包括开发能量收集设备，如风力涡轮机。目前，没有商业上可用的解决方案可以实现用于环境控制的多模态感测（化学、流动、运动）。高灵敏度风洞的独特功能包括：（1）质谱和PIV系统的耦合分析，以阐明污染物的反应时间尺度和湍流传输;（2）新的PIV数据技术和激光发展，以提高现有PIV系统的分析能力;（3）基于自由飞行昆虫的神经和行为反馈创建虚拟环境;以及（4）推进用于能量提取的闭环湍流控制，这将转化为具有无数应用的减阻、升力增加、混合增强和降噪技术。有关该设施的调查结果和成果将通过会议、期刊出版物和新闻社传播给研究界。