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EAGER: Integration of Heat Pipes in Gas Turbines using Artificial Intelligence and Additive Manufacturing

EAGER：利用人工智能和增材制造将热管集成到燃气轮机中

基本信息

批准号：
1744118
负责人：
Amir Faghri
金额：
$ 14.9万
依托单位：
University of Connecticut
依托单位国家：
美国
项目类别：
Standard Grant
财政年份：
2018
资助国家：
美国
起止时间：
2018-05-15 至 2021-04-30
项目状态：
已结题

来源：
https://www.nsf.gov/awardsearch/showAward?AWD_ID=1744118&HistoricalAwards=false
关键词：
EAGER Integration Heat Pipes Gas

项目摘要

Gas turbines power almost all modern aircraft and generate about 21% of the electricity used in the United States from natural gas. However, major losses of efficiency and reliability in turbines are caused by the tremendous amount of excess heat that turbines create. Current air-cooling technology has limited success in getting rid of this excess heat. This project uses an advanced cooling technology called heat pipes, which can dissipate significantly greater amounts of heat than air cooling. Using this technology will significantly improve fuel consumption, efficiency and reliability of gas turbines resulting in significant cost savings. The project involves constructing the vane or blade interior as a heat pipe and extending it into an adjacent heat sink, thus transferring incident heat through the heat pipe to the heat sink. This design provides an extremely high heat transfer rate and a uniform temperature along the vane due to the internal changes of the phase of the heat pipe working fluid. Furthermore, this technology eliminates hot spots at the vane leading and trailing edges and increases the vane life by preventing thermal fatigue cracking. There is also the possibility of requiring no bleed air from the compressor, eliminating engine performance losses resulting from the diversion of compressor discharge air. Combined air cooling with radially rotating heat pipes is also considered for a better cooling method. The proposed heat pipe is an innovative cooling system that includes non-conventional geometries, evaporation, condensation, vapor flow, and interaction of the liquid/vapor. These complex transport processes of heat transfer and two-phase flow of a liquid metal working fluid under high centrifugal forces and accelerations are all coupled. A detailed design analysis of integrated gas turbine heat pipe vanes and blades is made using artificial intelligence and additive manufacturing.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.

燃气轮机为几乎所有现代飞机提供动力，美国约 21% 的电力来自天然气。然而，涡轮机效率和可靠性的重大损失是由涡轮机产生的大量余热造成的。目前的空气冷却技术在消除多余热量方面效果有限。该项目采用了一种称为热管的先进冷却技术，与空气冷却相比，该技术可以散发更多的热量。使用该技术将显着提高燃气轮机的燃料消耗、效率和可靠性，从而显着节省成本。该项目涉及将叶片或叶片内部构造为热管并将其延伸到相邻的散热器中，从而通过热管将入射热量传递到散热器。由于热管工作流体的内部相变化，这种设计提供了极高的传热速率和沿叶片的均匀温度。此外，该技术消除了叶片前缘和后缘处的热点，并通过防止热疲劳裂纹来延长叶片寿命。还可以不需要压缩机引气，从而消除因压缩机排气转移而导致的发动机性能损失。空气冷却与径向旋转热管的组合也被认为是更好的冷却方法。所提出的热管是一种创新的冷却系统，包括非传统的几何形状、蒸发、冷凝、蒸汽流动以及液体/蒸汽的相互作用。这些复杂的传热传递过程和液态金属加工液在高离心力和加速度下的两相流都是耦合的。利用人工智能和增材制造对集成燃气轮机热管轮叶和叶片进行了详细的设计分析。该奖项反映了 NSF 的法定使命，并通过使用基金会的智力优势和更广泛的影响审查标准进行评估，被认为值得支持。