Hydrothermal performance analysis and multi-objective optimization of micro-channel 3D-IC with alternating secondary flow channels

Embedding micro-channels in a 3D-IC can alleviate heat dissipation problems. In this paper, micro-channel 3D-IC with alternating secondary flow channel was pro-posed and geometric parameters were optimized. Non-dominated Sorting Genetic Algorithm II was used for Pareto optimization. Optimization solutions (Rt_best, Pp_best, and ?best) were selected in Pareto front. The optimization objective values of these solutions are all less than the corresponding values of conventional design. Based on Pareto front, a compromise solution for technique for order preference by similarity to an ideal solution was calculated. Compared with conventional design, the thermal resistance of Rt_best, pumping power of Pp_best, and chip uniformity index of ?best are reduced by 10.2%, 3.4%, and 7.3%, respectively. Compared with conventional de-sign, the thermal resistance, pumping power, and chip uniformity index of compromise solution based on technique for order preference by similarity to an ideal solution are reduced by 10.0%, 1.0% and 7.1%, respectively. The results may help the development of optimization design of the micro-channel in 3D-IC.

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Publication Details

Journal
Thermal Science
Published
2024-12-30
DOI
https://doi.org/10.2298/tsci241005282c
Primary Topic
Heat Transfer and Optimization
Type
article
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Hydrothermal performance analysis and multi-objective optimization of micro-channel 3D-IC with alternating secondary flow channels

Pinzhong Chen, Zhongliang Pan
Thermal Science
Heat Transfer and Optimization
article

Hydrothermal performance analysis and multi-objective optimization of micro-channel 3D-IC with alternating secondary flow channels

Pinzhong Chen, Zhongliang Pan
article en

Abstract

Embedding micro-channels in a 3D-IC can alleviate heat dissipation problems. In this paper, micro-channel 3D-IC with alternating secondary flow channel was pro-posed and geometric parameters were optimized. Non-dominated Sorting Genetic Algorithm II was used for Pareto optimization. Optimization solutions (Rt_best, Pp_best, and ?best) were selected in Pareto front. The optimization objective values of these solutions are all less than the corresponding values of conventional design. Based on Pareto front, a compromise solution for technique for order preference by similarity to an ideal solution was calculated. Compared with conventional design, the thermal resistance of Rt_best, pumping power of Pp_best, and chip uniformity index of ?best are reduced by 10.2%, 3.4%, and 7.3%, respectively. Compared with conventional de-sign, the thermal resistance, pumping power, and chip uniformity index of compromise solution based on technique for order preference by similarity to an ideal solution are reduced by 10.0%, 1.0% and 7.1%, respectively. The results may help the development of optimization design of the micro-channel in 3D-IC.

Thermal ScienceVol. 29(4 Part A)
South China Normal University (CN)
Affordable and clean energy
Openalex Percentile: Top 75%
Heat Transfer and Optimization
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