TY - JOUR
T1 - A combined X-ray computed tomography and discrete element method study on the thermo-mechanical behavior of cathode during calendering
AU - Tan, Li
AU - Song, Yanjie
AU - Gao, Kai
AU - Zhu, Shengxin
AU - Wu, Yikun
AU - Li, Na
AU - Luo, Ying
AU - Hu, Qianqian
AU - Wang, Chao
AU - Chen, Hao Sen
AU - Yang, Yazheng
N1 - Publisher Copyright:
© 2026 Elsevier Ltd. All rights are reserved, including those for text and data mining, AI training, and similar technologies.
PY - 2026/8/15
Y1 - 2026/8/15
N2 - Calendering plays a pivotal role in lithium-ion battery manufacturing, as it critically governs the electrode's density, thermal conductivity, and mechanical integrity, thereby affecting its processability and overall electrochemical performance. This study presents an integrated 3D thermo-mechanical coupling framework that combines in-situ compression testing, X-ray computed tomography (X-CT), and discrete element method (DEM) simulations based on realistic electrode microstructures. By using this framework, a comprehensive investigation on the evolution and interactions of particle contact networks, fabric tensors, and thermal transport properties during electrode compaction is conducted. The results demonstrate a logistic-type nonlinear increase in effective thermal conductivity with calendering pressure, axial stress, and fabric tensor deviator magnitude, while decreasing with electrode thickness. Furthermore, the fabric tensor deviator shows a strong quadratic correlation with both external pressure and thickness, highlighting its sensitivity to structural anisotropy and critical role in thermal conduction pathway formation. As a structural descriptor, the fabric tensor deviator effectively bridges the microscale contact rearrangements and macroscopic thermal performance. Additionally, the study uncovers a distinct “initial-growth-saturation” evolution pattern in the development of thermal pathways during calendering. These findings offer valuable theoretical insight and modeling guidance for optimizing electrode structure and calendering strategies in advanced battery manufacturing.
AB - Calendering plays a pivotal role in lithium-ion battery manufacturing, as it critically governs the electrode's density, thermal conductivity, and mechanical integrity, thereby affecting its processability and overall electrochemical performance. This study presents an integrated 3D thermo-mechanical coupling framework that combines in-situ compression testing, X-ray computed tomography (X-CT), and discrete element method (DEM) simulations based on realistic electrode microstructures. By using this framework, a comprehensive investigation on the evolution and interactions of particle contact networks, fabric tensors, and thermal transport properties during electrode compaction is conducted. The results demonstrate a logistic-type nonlinear increase in effective thermal conductivity with calendering pressure, axial stress, and fabric tensor deviator magnitude, while decreasing with electrode thickness. Furthermore, the fabric tensor deviator shows a strong quadratic correlation with both external pressure and thickness, highlighting its sensitivity to structural anisotropy and critical role in thermal conduction pathway formation. As a structural descriptor, the fabric tensor deviator effectively bridges the microscale contact rearrangements and macroscopic thermal performance. Additionally, the study uncovers a distinct “initial-growth-saturation” evolution pattern in the development of thermal pathways during calendering. These findings offer valuable theoretical insight and modeling guidance for optimizing electrode structure and calendering strategies in advanced battery manufacturing.
KW - Calendering
KW - Densification
KW - Discrete element method (DEM)
KW - Lithium-ion battery
KW - Thermo-mechanical coupling
UR - https://www.scopus.com/pages/publications/105039140759
U2 - 10.1016/j.est.2026.122425
DO - 10.1016/j.est.2026.122425
M3 - Article
AN - SCOPUS:105039140759
SN - 2352-152X
VL - 169
JO - Journal of Energy Storage
JF - Journal of Energy Storage
M1 - 122425
ER -