CAREER: Controlling fluid structure interactions within an oscillating foil turbine array

职业：控制振荡箔涡轮阵列内的流体结构相互作用

• 批准号: 2338957
• 负责人: Jennifer Franck
• 金额: $ 50.02万
• 依托单位: University of Wisconsin-Madison
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 2023
• 资助国家: 美国
• 起止时间: 2023-12-01 至 2028-11-30
• 项目状态: 未结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2338957&HistoricalAwards=false
• 关键词: CAREER; Controlling; fluid; structure; interactions

An oscillating foil, or a wing undergoing a combined rotational and heaving motion, is a physical model of flapping animal flight or aquatic propulsion. Inspired by these biological systems, this proposal explores an oscillating foil operating as a turbine to harvest kinetic energy from rivers or tidal channels. Specifically, this research will investigate the unsteady flow physics within a close-packed array of oscillating foils and uncover methods for enhanced power production. This knowledge will advance marine energy turbine development, a renewable energy technology complementary to wind and solar farms. The broader impacts of the education plan are designed to reach students throughout the academic pipeline, improving recruitment and retention of women in renewable energy and mechanics. The high heave and pitch kinematic motion of an oscillating foil generates a two-dimensional vortex wake whose structure is intricately linked to the flapping kinematics. As an additional benefit, oscillating foils can actively modulate the area of swept flow and share this swept area with adjacent and complementary foils to boost energy density. Despite these kinematic advantages, there has been little research on active control of kinematics within clusters of foils. This research will utilize a computational model combined with reinforcement learning to interact with the unsteady wake environment and elucidate constructive mechanisms for vortex dynamics and cooperative control within a tightly grouped cluster of 3 to 4 foils. This will be performed through an advanced computational methodology interwoven with a reinforcement learning algorithm that enables exploration of nontrivial oscillation kinematics and exploitation of the energy potential in unsteady inflow conditions. Results of the proposed work will develop a framework for the unsteady flow physics within tightly clustered oscillating foils, improving efficiency and energy density, and improving modeling and design tools for coordinated control in non-ideal flow conditions. The educational objectives will utilize specific activities to improve recruitment, retention, and climate for women undergraduate and graduate students, and develop renewable energy modules for K-12 outreach. Integration of research and education is facilitated through a new freshmen design course, undergraduate research, and targeted mentoring efforts through student groups.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.

摆动翼，或经历旋转和起伏运动的机翼，是扑翼动物飞行或水上推进的物理模型。 受这些生物系统的启发，该提案探索了一种振荡翼片，作为涡轮机从河流或潮汐通道中收集动能。 具体来说，这项研究将调查内的非定常流动物理紧密填充阵列的振荡箔和发现的方法，提高发电。这一知识将推动海洋能源涡轮机的发展，这是一种补充风能和太阳能发电场的可再生能源技术。教育计划的更广泛影响旨在覆盖整个学术管道的学生，改善可再生能源和机械领域妇女的招聘和保留。振荡翼片的高垂荡和俯仰运动学运动产生二维涡流尾流，其结构与扑翼运动学错综复杂地联系在一起。作为额外的益处，振荡翼片可以主动地调节扫掠流的面积，并且与相邻的和互补的翼片共享该扫掠面积以提高能量密度。尽管有这些运动学上的优势，有很少的研究，在集群内的翼型运动学的主动控制。这项研究将利用一个计算模型结合强化学习与非定常尾流环境的相互作用，并阐明建设性的机制，涡动力学和合作控制在一个紧密的集群内的3至4个翼。 这将通过与强化学习算法交织的高级计算方法来执行，该算法能够探索非平凡的振荡运动学并利用非稳定流入条件下的能量潜力。拟议工作的结果将开发一个框架内的非定常流动物理紧密聚集振荡箔，提高效率和能量密度，并改善建模和设计工具，在非理想的流动条件下的协调控制。 教育目标将利用具体的活动来改善女本科生和研究生的招聘、保留和环境，并为K-12外联开发可再生能源模块。 通过新的新生设计课程，本科生研究和通过学生团体有针对性的指导工作促进了研究和教育的整合。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进行评估，被认为值得支持。