Global Optimization Research on Parametric Design of Printed Circuit Heat Exchanger Airfoil Plates Based on Integrated Machine Learning and Simulated Annealing.
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| Title: | Global Optimization Research on Parametric Design of Printed Circuit Heat Exchanger Airfoil Plates Based on Integrated Machine Learning and Simulated Annealing. |
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| Authors: | Liu, Shanlin1 (AUTHOR), Gong, Xin1,2 (AUTHOR), Liao, Naibing1 (AUTHOR), Zhou, Shihe2 (AUTHOR), Qiu, Qinggang2 (AUTHOR), Gong, Luyuan2 (AUTHOR) lygong@dlut.edu.cn, Shen, Shengqiang2 (AUTHOR) |
| Source: | Energies (19961073). Sep2026, Vol. 19 Issue 17, p4055. 17p. |
| Subject Terms: | *Simulated annealing, *Surrogate-based optimization, *Thermal hydraulics, *Plate heat exchangers, *Supercritical carbon dioxide, *Gaussian processes, *Random forest algorithms |
| Abstract: | The airfoil channel printed circuit heat exchanger (PCHE) demonstrates significant potential in the field of supercritical carbon dioxide Brayton cycles due to its exceptional heat transfer capability. The channel structure determines the thermal-hydraulic performance of the printed circuit heat exchanger (PCHE). This study proposes an S-shaped airfoil channel. A surrogate model combining random forest (RF) and Gaussian Process Regression (GPR) was proposed, and a machine learning method using the simulated annealing (SA) algorithm was employed to optimize the structural parameters of the S-shaped airfoil channel. The results show that, compared to the baseline straight channel with the NACA0020 airfoil, the optimized channel achieves an 8.4% enhancement in thermal-hydraulic performance. At an inlet flow velocity of 1–2 m/s, the optimized airfoil flow channel exhibits superior heat transfer performance. Flow separation on the airfoil surface can induce local vortices. These vortices effectively reduce the thickness of the boundary layer, making the cross-sectional temperature distribution more uniform and significantly enhancing heat transfer efficiency. This study ultimately lays a solid methodological foundation for the rapid customized design of a new generation of the printed circuit heat exchanger. [ABSTRACT FROM AUTHOR] |
| Database: | Energy & Power Source |
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| Abstract: | The airfoil channel printed circuit heat exchanger (PCHE) demonstrates significant potential in the field of supercritical carbon dioxide Brayton cycles due to its exceptional heat transfer capability. The channel structure determines the thermal-hydraulic performance of the printed circuit heat exchanger (PCHE). This study proposes an S-shaped airfoil channel. A surrogate model combining random forest (RF) and Gaussian Process Regression (GPR) was proposed, and a machine learning method using the simulated annealing (SA) algorithm was employed to optimize the structural parameters of the S-shaped airfoil channel. The results show that, compared to the baseline straight channel with the NACA0020 airfoil, the optimized channel achieves an 8.4% enhancement in thermal-hydraulic performance. At an inlet flow velocity of 1–2 m/s, the optimized airfoil flow channel exhibits superior heat transfer performance. Flow separation on the airfoil surface can induce local vortices. These vortices effectively reduce the thickness of the boundary layer, making the cross-sectional temperature distribution more uniform and significantly enhancing heat transfer efficiency. This study ultimately lays a solid methodological foundation for the rapid customized design of a new generation of the printed circuit heat exchanger. [ABSTRACT FROM AUTHOR] |
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| ISSN: | 19961073 |
| DOI: | 10.3390/en19174055 |
