Numerical study of heat transfer enhancement in regenerative cooling channels with symmetric truncated ribs

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Authors: Yuzhe Zhang, Jin Zhao, Longzhu Han, Haichuan Jin, Dongsheng Wen, C Y Zhang, Hui Gao
Cited by: 1
References: 38

Abstract

Regenerative cooling using hydrocarbon fuels is essential for the thermal protection of hypersonic vehicles. However, the heat transfer deterioration (HTD) severely compromises cooling efficiency. Although micro-ribs have been extensively investigated to suppress HTD, the synergistic coupling mechanism between the intensity and spatial structure of secondary flow still remains unclear. This study performed a systematic numerical investigation on the heat transfer characteristics of n -decane in four channels featuring symmetrical truncated rib arrangements (T-, P-, A-, and V-type). Quantitative analysis of normalized secondary flow intensity ( Se/Se 0 ) and integrated heat transfer factor ( η ) reveals that the synergistic coupling of intensity and spatial structure of secondary flow determines the heat transfer efficiency. The V-type arrangement shows the best performance with a pronounced wall-directed flow structure. It reduces the maximum wall temperature by 22% and increases the average Nu by 111% compared to the smooth channel under the reference condition of Re = 3230 , and over the investigated Reynolds numbers, the maximum η reaches about 1.80 at Re = 6460 . In addition, although the P-type arrangement exhibits a lower secondary flow intensity than the A-type arrangement, its unique biased flow structure successfully compensates for this drawback, resulting in similar heat transfer efficiency. This study provides a theoretical reference for the topology optimization of ribbed channels for regenerative cooling.

Fields of Study & Subjects

Heat Transfer Mechanisms Nanofluid Flow and Heat Transfer Heat Transfer and Optimization

Publication details

Journal / source
International Communications in Heat and Mass Transfer
Publisher
Elsevier BV
Volume
178
Pages
111897–111897
Publication date
4 July 2026
Language
EN