Submitted:
16 May 2025
Posted:
16 May 2025
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Abstract
Keywords:
1. Introduction
2. Experimental Methods
2.1. Test Piece Fabrication
2.2. Test Piece Configuration
2.3. Surface Characteristics of the BJ3DP Surfaces
Surface Roughness
Surface Characterisation via Scanning Electron Microscopy (SEM)
2.4. Experimental Apparatus
2.5. Data Reduction
2.6. Reliability of Experimental Setup
3. Results and Discussion
3.1. Boiling Curve Analysis
3.2. Heat Transfer Coefficient Analysis
3.3. Heat Flux Regimes and Dominant Mechanisms
- Low Heat Flux Region (≤750 kW/m²)
- Medium to High Heat Flux Region (> 750 kW/m² and ≤ 2000 kW/m²)
- Super-High Heat Flux Region (> 2000 kW/m²)
3.4. Visualisation of Bubble Characteristics
4. Conclusions
- Superior Performance of 3d-Printed Structures: The 3D-printed heat transfer surfaces consistently exhibited significantly better boiling heat transfer performance than the Sintered Plain surface, particularly notable in the low heat flux region.
- CHF and Peak Heat Fluxes:
- The Sintered Plain surface reached its CHF at 782 kW/m2 at a wall superheat of 18.03 K.
- The Staggered surface demonstrated a substantial enhancement in CHF, reaching 2289 kW/m2 at a wall superheat of 25.9 K, approximately 193% higher than the Sintered Plain CHF.
- Notably, traditional CHF behavior (characterized by a sharp heat flux drop) was not observed for the Large Lattice and Small Lattice structures within the tested range. Instead, these surfaces sustained high heat fluxes, reaching peak values of 2071 kW/m2 (at a wall superheat of 53.9 K) and 2291 kW/m2 (at a wall superheat of 38.6 K). These peak heat fluxes represent an increase of approximately 165% and 193%, respectively, over the Sintered Plain CHF.
- 3.
- HTC Performance:
- The Sintered Plain surface showed an increasing HTC trend up to its maximum of 43.34 kW/m2.K, corresponding to its CHF.
- The Staggered surface exhibited a rapid increase in HTC at low heat fluxes, reaching a peak of 88.53 kW/m2.K at its CHF of 2289 kW/m2.
- The Large Lattice and Small Lattice surfaces showed rapid HTC growth in the low to medium heat flux region, reaching their highest values early in this range. The Small Lattice peaked at 95.62 kW/m2.K at a heat flux of 272.72 kW/m2 (wall superheat 2.85 K), while the Large Lattice peaked at 133.41 kW/m2.K at 513.97 kW/m2 (wall superheat 3.85 K). Beyond these peaks, the HTC for the lattice structures decreased or flattened as heat flux increased towards their maximum sustained values (Small Lattice HTC was 59.27 kW/m2.K at 2291 kW/m2 heat flux; Large Lattice HTC was 38.4 kW/m2.K at 2071 kW/m2 heat flux).
- At low heat fluxes, the structured surfaces significantly enhanced HTC compared to the Sintered Plain: the Staggered surface resulted in an enhancement of up to 104.27% (approximately 2.04 times), the Small Lattice up to 120.64% (approximately 2.21 times), and the Large Lattice up to 207.82% (approximately 3.08 times).
- 4.
- Mechanisms for Enhanced Performance: The superior performance of the 3D-printed structures is attributed to their porous nature, which provides enhanced nucleation site density and facilitates effective bubble management. Interconnected porous cavities create separate pathways for liquid and vapor flow, with capillary forces crucial in replenishing liquid to the heated surface. This capillary action, combined with potential wettability gradients (particularly in the Staggered design), delays dryout and sustains high heat fluxes.
- 5.
- Implications: This study's findings demonstrate the significant potential of Binder Jetting 3D-printed porous structures for enhancing pool boiling heat transfer. These findings hold promise for the development of advanced thermal management systems and next-generation heat exchangers in a potentially cost-effective manner.
- Experimental studies on the pool boiling heat transfer performance of 3D-printed structures with a wider range of geometries and pore sizes.
- Experimental investigation of these structures' pool boiling heat transfer performance using different refrigerants.
- Numerical simulations will be used to analyze and understand the various physical phenomena observed in this research.
Author Contributions
Acknowledgements
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| Line | Ra(μm) | RZ(μm) |
|---|---|---|
| 1 | 9.77 | 61.5 |
| 2 | 9.95 | 74.5 |
| 3 | 9.26 | 75.3 |
| 4 | 9.07 | 79.8 |
| 5 | 9.71 | 74.5 |
| 6 | 9.46 | 67.7 |
| 7 | 7.77 | 62.5 |
| 8 | 9.46 | 74.1 |
| 9 | 10.13 | 62.2 |
| 10 | 8.89 | 77.8 |
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