Thermodynamic Optimization of Systems with Heat and Fluid Flow Irreversibilities

具有热和流体流动不可逆性的系统的热力学优化

• 批准号: 9706942
• 负责人: Adrian Bejan
• 金额: $ 18万
• 依托单位: Duke University
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 1997
• 资助国家: 美国
• 起止时间: 1997-09-15 至 2001-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=9706942&HistoricalAwards=false
• 关键词: Thermodynamic; Optimization; Systems; Heat; Fluid

CTS-9706942 Duke University Adrian Bejan ABSTRACT The proposed work is a fundamental study of the architecture of flow paths between a finite-size space and one or more discrete points. Thermodynamic principles will be used to deterministically optimize networks for systems with volumetric heat and fluid flow. The optimization is based on geometrically minimizing the resistance to flow. The work is relevant to many engineering applications such as the design of heat exchangers, thermal storage systems, etc. It is also relevant to the understanding of the architecture of the natural environment such as biological and geological systems.

9706942杜克大学禤浩焯Bejan摘要本研究是对有限大小空间与一个或多个离散点之间的流动路径结构的基础性研究。热力学原理将被用于确定性地优化具有体积热和流体流动的系统的网络。优化是基于几何最小化流动阻力。这项工作与许多工程应用有关，如换热器、蓄热系统等的设计。它还与理解自然环境的体系结构有关，如生物和地质系统。