A transformer model integrated with fuzzy strategy for the design of a new four-Leaf-clover-inspired hybrid pin-fins microchannel heat sink

High local heat flux significantly reduces the reliability and lifespan of electronic chips. Most existing microchannel heat sinks (MCHSs) are single solid structures. Such a structure reduces heat transfer area and fails to generate sufficient fluid disturbance. Published surrogate models cannot effectively characterise the uncertainties in sample data. Therefore, four new hybrid pin-fin microchannel heat sinks (NHPFMCHSs) are proposed. The computational fluid dynamics (CFD) simulations show that all four NHPFMCHSs significantly reduce maximum and average temperatures compared with the non-hybrid straight microchannel heat sink (NHSMCHS). The four-leaf-clover-like Case 4 achieves the best comprehensive performance under different Reynolds numbers (Re). This model uses four-leaf-clover-inspired pin-fins in the central region to enhance heat dissipation and straight-fins at the inlet and outlet to reduce pressure drop (Δp). Then, this paper, for the first time, presents a coupling of an improved fuzzy Transformer model with an enhanced shuffled frog leaping algorithm for the optimisation of Case 4. A fuzzy strategy is adopted to identify the uncertainty characteristics in the samples. Compared with BP and ANN, the proposed improved fuzzy Transformer model reduces the RMSE for Tmax by 38.89% and 33.33%, and for Δp by 48.96% and 39.68%, respectively. Compared with NHSMCHS, further optimisation of Case 4 leads to scheme No.15, which reduces the average Tmax by 8.74 K and increases the average Performance Evaluation Criterion (PEC) by 1.41 for all Re values.

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Publication Details

Journal
Engineering Applications of Computational Fluid Mechanics
Published
2026-07-17
DOI
https://doi.org/10.1080/19942060.2026.2703930
Primary Topic
Heat Transfer and Optimization
Type
article
Field-Weighted Citation Impact
0.00

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article

A transformer model integrated with fuzzy strategy for the design of a new four-Leaf-clover-inspired hybrid pin-fins microchannel heat sink

Xicheng Zhang, Ling Lin, Shiquan Feng
Engineering Applications of Computational Fluid Mechanics
Heat Transfer and Optimization
article

A transformer model integrated with fuzzy strategy for the design of a new four-Leaf-clover-inspired hybrid pin-fins microchannel heat sink

Xicheng Zhang, Ling Lin, Shiquan Feng
article en

Abstract

High local heat flux significantly reduces the reliability and lifespan of electronic chips. Most existing microchannel heat sinks (MCHSs) are single solid structures. Such a structure reduces heat transfer area and fails to generate sufficient fluid disturbance. Published surrogate models cannot effectively characterise the uncertainties in sample data. Therefore, four new hybrid pin-fin microchannel heat sinks (NHPFMCHSs) are proposed. The computational fluid dynamics (CFD) simulations show that all four NHPFMCHSs significantly reduce maximum and average temperatures compared with the non-hybrid straight microchannel heat sink (NHSMCHS). The four-leaf-clover-like Case 4 achieves the best comprehensive performance under different Reynolds numbers (Re). This model uses four-leaf-clover-inspired pin-fins in the central region to enhance heat dissipation and straight-fins at the inlet and outlet to reduce pressure drop (Δp). Then, this paper, for the first time, presents a coupling of an improved fuzzy Transformer model with an enhanced shuffled frog leaping algorithm for the optimisation of Case 4. A fuzzy strategy is adopted to identify the uncertainty characteristics in the samples. Compared with BP and ANN, the proposed improved fuzzy Transformer model reduces the RMSE for Tmax by 38.89% and 33.33%, and for Δp by 48.96% and 39.68%, respectively. Compared with NHSMCHS, further optimisation of Case 4 leads to scheme No.15, which reduces the average Tmax by 8.74 K and increases the average Performance Evaluation Criterion (PEC) by 1.41 for all Re values.

Engineering Applications of Computational Fluid MechanicsVol. 20(1)
Suzhou University of Science and Technology (CN)
Suzhou University
Openalex Percentile: Top 15%
Heat Transfer and Optimization
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