材料科学
曲面(拓扑)
蒸腾作用
单元格大小
细胞结构
机械
单位(环理论)
热力学
物理
几何学
化学
生物系统
数学
光合作用
数学教育
细胞生物学
生物
生物化学
作者
Juchan Son,Yeongmin Pyo,P. Richer,B. Jodoin,Zekai Hong
出处
期刊:Journal of Thermophysics and Heat Transfer
[American Institute of Aeronautics and Astronautics]
日期:2025-07-24
卷期号:40 (1): 253-265
被引量:1
摘要
Transpiration cooling is a highly promising technology for use in thermal management in modern gas-turbine-based aeroengines, providing superior cooling effectiveness compared to state-of-the-art effusion cooling methods. However, conventional porous media such as metallic foams and sintered metals, when used for transpiration cooling, face challenges in achieving desired engineering properties, such as surface texture, mechanical strength, and porosity profile. To achieve the full potential of transpiration cooling by overcoming the challenges inherent in conventional porous media, a precisely engineered deterministic porous medium is desirable. Recent advancements in additive manufacturing have enabled the fabrication of porous media with highly precise lattice structures. Among candidate lattice structures, triply periodic minimal surface (TPMS) structures are considered ideal due to their superior mechanical strengths and fully interconnected, periodic internal channels and external texture patterns to facilitate cooling film development. This study aims to investigate the impact of unit cell size of TPMS lattices on adiabatic film cooling effectiveness using binary pressure-sensitive paint (PSP). Diamond-type TPMS lattices of a fixed actual porosity (36%) but of three distinct unit cell sizes (1.9, 2.5, and 3.1 mm) were examined at three injection ratios ([Formula: see text], 1.14%, and 1.60%). Results show that smaller unit cell sizes lead to more effective and more uniform cooling films. Enhanced transpiration cooling effectiveness at smaller unit sizes might be attributed to shallower surface voids and reduced lateral flow within the porous medium. The findings are expected to guide the design of TPMS-based transpiration cooling systems.
科研通智能强力驱动
Strongly Powered by AbleSci AI