Numerical Investigation and Optimization of Transpiration Cooling Plate Structures with Combined Particle Diameter
Transpiration cooling is an efficient thermal protection technology used for scramjet combustors and other components. However, a conventional transpiration cooling plate structure with uniform porous media distribution suffers from a large temperature difference between the upstream and downstream...
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| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2025-06-01
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| Series: | Energies |
| Subjects: | |
| Online Access: | https://www.mdpi.com/1996-1073/18/11/2950 |
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| Summary: | Transpiration cooling is an efficient thermal protection technology used for scramjet combustors and other components. However, a conventional transpiration cooling plate structure with uniform porous media distribution suffers from a large temperature difference between the upstream and downstream surfaces and high coolant injection pressure (<i>p</i>). To enhance the overall cooling effect and reduce the maximum surface temperature and coolant injection pressure, the combined particle diameter plate structure (CPD−PS) is proposed. Numerical simulations show that compared with the single-particle diameter plate structure (SPD−PS), the CPD−PS with a larger upstream particle diameter (<i>d<sub>p</sub></i>) than that of the downstream (<i>d<sub>p</sub></i><sub>A</sub> > <i>d<sub>p</sub></i><sub>B</sub>) can effectively reduce the upstream temperature and improve average cooling efficiency (<i>η</i><sub>ave</sub>). Meanwhile, gradually increasing <i>d<sub>p</sub></i> will increase the permeability of porous media, reduce coolant flow resistance, and thus lower coolant injection pressure. An optimization analysis of CPD−PS is conducted using response surface methodology (RSM), and the influence of design variables on the objective function (<i>η</i><sub>ave</sub> and <i>p</i>) is analyzed. Further optimization with the multi-objective genetic algorithm (MOGA) determines the optimal structural parameters. The results suggest that porosity (<i>ε</i>) and <i>d<sub>p</sub></i> are the most crucial parameters affecting <i>η</i><sub>ave</sub> and <i>p</i> of CPD−PS. After optimization, the maximum temperature of the porous plate is significantly reduced by 8.40%, and the average temperature of the hot end surface is also reduced. The overall cooling performance is effectively improved, <i>η</i><sub>ave</sub> is increased by 6.02%, and <i>p</i> is significantly reduced. Additionally, the upstream surface velocity of the optimized structure changes and the boundary layer thickens, which enhances the thermal insulation effect. |
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| ISSN: | 1996-1073 |