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Open AccessArticle
Enhanced Simulation Accuracy and Design Optimization in Power Semiconductors Through Individual Aluminum Metallization Layer Modeling
by
Na-Yeon Choi
Na-Yeon Choi 1,2,
Sang-Gi Kim
Sang-Gi Kim 3 and
Sung-Uk Zhang
Sung-Uk Zhang
Dr. Sung-Uk Zhang is an associate professor at the
Department of Automotive Engineering, Dong-Eui a [...]
Dr. Sung-Uk Zhang is an associate professor at the
Department of Automotive Engineering, Dong-Eui University. He received a
bachelor’s degree in electrical engineering from Sogang University in 2003. He received a master’s degree in biomedical engineering and a Ph.D. degree in
mechanical engineering from the University of Florida in 2006 and 2010,
respectively. Before joining the university, he was a senior engineer at the
Samsung Electronics Giheung Site. He has published extensively in journals and
conference proceedings. He is a leader in the Digital twin laboratory at
Dong-Eui University. His current research interests include digital twin
technology for microelectronics reliability, artificial intelligence for
structural health monitoring, semiconductor process simulation, and
multiphysics and multiscale simulation using finite element analysis.
1,2,*
1
Digital Twin Laboratory, Dong-Eui University, 176 Eomgwang-ro, Busan 47340, Republic of Korea
2
Center for Brain Busan 21, Dong-Eui University, 176 Eomgwang-ro, Busan 47340, Republic of Korea
3
Eyeq Lab, Anyang 14057, Republic of Korea
*
Author to whom correspondence should be addressed.
Energies 2025, 18(10), 2457; https://doi.org/10.3390/en18102457 (registering DOI)
Submission received: 6 March 2025
/
Revised: 23 April 2025
/
Accepted: 25 April 2025
/
Published: 10 May 2025
Abstract
This study investigates the impact of modeling the aluminum (Al) metallization layer as an integrated part of the chip model, versus as an individual component, on the results of electrical–thermal analysis of power semiconductor packages using Finite Element Analysis (FEA), ANSYS 2024 R2. The results showed that modeling the aluminum metallization layer separately exhibited high consistency with actual thermal imaging data. Furthermore, based on these findings, we observed through simulations that the aluminum metallization layer plays a key role in improving the uniformity of current density and temperature distribution within the chip. Using the aluminum metallization layer model, we optimized the thickness, material, and design of the metallization layer, as well as the bonding wire material through the design of experiments (DOE) methodology. Under the optimized conditions, an optimal design is proposed to minimize the voltage–current ratio (VDS/IDS), maximum junction temperature, strain, and von Mises stress. This study systematically examines the influence of aluminum metallization layer modeling on FEA-based power semiconductor package simulations and is expected to serve as a valuable reference for future power device design utilizing finite element analysis.
Share and Cite
MDPI and ACS Style
Choi, N.-Y.; Kim, S.-G.; Zhang, S.-U.
Enhanced Simulation Accuracy and Design Optimization in Power Semiconductors Through Individual Aluminum Metallization Layer Modeling. Energies 2025, 18, 2457.
https://doi.org/10.3390/en18102457
AMA Style
Choi N-Y, Kim S-G, Zhang S-U.
Enhanced Simulation Accuracy and Design Optimization in Power Semiconductors Through Individual Aluminum Metallization Layer Modeling. Energies. 2025; 18(10):2457.
https://doi.org/10.3390/en18102457
Chicago/Turabian Style
Choi, Na-Yeon, Sang-Gi Kim, and Sung-Uk Zhang.
2025. "Enhanced Simulation Accuracy and Design Optimization in Power Semiconductors Through Individual Aluminum Metallization Layer Modeling" Energies 18, no. 10: 2457.
https://doi.org/10.3390/en18102457
APA Style
Choi, N.-Y., Kim, S.-G., & Zhang, S.-U.
(2025). Enhanced Simulation Accuracy and Design Optimization in Power Semiconductors Through Individual Aluminum Metallization Layer Modeling. Energies, 18(10), 2457.
https://doi.org/10.3390/en18102457
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