Global optimization of junction-to-case thermal resistance in TO-247 power MOSFETs using hybrid response surface methodology

Power MOSFETs face thermal reliability challenges due to multi-parametric coupling in packaging design. This work proposes a hybrid response surface methodology (RSM) framework that integrates discrete material screening (epoxy/solder/frame) and quadratic continuous-variable modeling (chip area/thickness, and solder/frame thickness). A five-layer equivalent chip model was validated with an experimental-simulation alignment of 98.09%. Furthermore, the RSM model achieved a prediction accuracy of 93.97%, enabling the global optimization of junction-to-case thermal resistance (R jc ). Optimized parameters reduced R jc by 32.97% (to 0.343 °C/W) compared to the baseline, resulting in a 10.84% decrease in junction temperature across the 10–160 W load range. Compared to orthogonal experimental design, RSM yielded 12.45% lower R jc at higher optimization efficiency. Thermal-mechanical analysis confirmed structural integrity with stress within safety limits. This approach provides an efficient pathway for multi-parametric thermal management in power electronics.

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Publication Details

Journal
Case Studies in Thermal Engineering
Published
2025-11-13
DOI
https://doi.org/10.1016/j.csite.2025.107399
Primary Topic
Silicon Carbide Semiconductor Technologies
Type
article
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article

Global optimization of junction-to-case thermal resistance in TO-247 power MOSFETs using hybrid response surface methodology

Shaofeng Cai, Guifang Wang, Wanchun Ren, Qin Wang et al.
Case Studies in Thermal Engineering
Silicon Carbide Semiconductor Technologies
article

Global optimization of junction-to-case thermal resistance in TO-247 power MOSFETs using hybrid response surface methodology

Shaofeng Cai, Guifang Wang, Wanchun Ren, Qin Wang, Dan Chen, Hongwei Yang
article en

Abstract

Power MOSFETs face thermal reliability challenges due to multi-parametric coupling in packaging design. This work proposes a hybrid response surface methodology (RSM) framework that integrates discrete material screening (epoxy/solder/frame) and quadratic continuous-variable modeling (chip area/thickness, and solder/frame thickness). A five-layer equivalent chip model was validated with an experimental-simulation alignment of 98.09%. Furthermore, the RSM model achieved a prediction accuracy of 93.97%, enabling the global optimization of junction-to-case thermal resistance (R jc ). Optimized parameters reduced R jc by 32.97% (to 0.343 °C/W) compared to the baseline, resulting in a 10.84% decrease in junction temperature across the 10–160 W load range. Compared to orthogonal experimental design, RSM yielded 12.45% lower R jc at higher optimization efficiency. Thermal-mechanical analysis confirmed structural integrity with stress within safety limits. This approach provides an efficient pathway for multi-parametric thermal management in power electronics.

Case Studies in Thermal EngineeringVol. 76
Southwest University of Science and Technology (CN), Institute of Microelectronics (CN)
Openalex Percentile: Top 65%
Silicon Carbide Semiconductor Technologies
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