Hot press sintering stress analysis of full ceramic microencapsulated fuel based on finite element method and machine learning
HE Zongbei1, OUYANG Han2, DU Zirui2, ZENG Qiang1, GAO Xinrui1, GUAN Kang2
1. Institute of Nuclear Fuel Component and Materials Research, Nuclear Power Institute of China, Chengdu 610213, China; 2. School of Materials Science and Engineering, South China University of Technology, Guangzhou 510640, China
Abstract：The final performance of full ceramic microencapsulated (FCM) fuel is affected by multiple factors during fabrication process, and it is very difficult to study the effects of these factors only through experiments. In this study, finite element method was utilized to simulate the hot press sintering process of FCM fuel pellets. The effects of multiple parameters (sintering temperature, loading pressure, matrix porosity, and volume fraction of tri-structural isotropic (TRISO) particles) on the stresses of each component during hot press sintering process were analyzed. In addition, the simulation results of different parameter combinations were analyzed further by machine learning in order to explore the correlation between the parameters and the stresses of each component, and conducted experimental verification. The results show that the combination of finite element method and machine learning is capable of qualitatively revealing the effects of parameters on the stress during sintering, the simulation is well consistent with experiment data.
何宗倍, 欧阳瀚, 杜子睿, 曾强, 高心蕊, 关康. 基于有限元和机器学习的全陶瓷微封装燃料热压烧结应力分析[J]. 粉末冶金材料科学与工程, 2025, 30(4): 272-288.
HE Zongbei, OUYANG Han, DU Zirui, ZENG Qiang, GAO Xinrui, GUAN Kang. Hot press sintering stress analysis of full ceramic microencapsulated fuel based on finite element method and machine learning. Materials Science and Engineering of Powder Metallurgy, 2025, 30(4): 272-288.
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2025, Vol. 30 
