材料科学
复合材料
陶瓷电容器
环氧树脂
分层(地质)
电容器
陶瓷
结构工程
法律工程学
电气工程
工程类
俯冲
构造学
生物
古生物学
电压
作者
Rilwan Kayode Apalowo,Aizat Abas,Zuraihana Bachok,Mohamad Fikri Mohd Sharif,Fakhrozi Che Ani,Mohamad Riduwan Ramli,Muhamed Abdul Fatah Muhamed Mukhtar
出处
期刊:Microelectronics International
[Emerald (MCB UP)]
日期:2024-04-12
卷期号:41 (3): 162-171
标识
DOI:10.1108/mi-03-2023-0025
摘要
Purpose This study aims to investigate the possible defects and their root causes in a soft-termination multilayered ceramic capacitor (MLCC) when subjected to a thermal reflow process. Design/methodology/approach Specimens of the capacitor assembly were subjected to JEDEC level 1 preconditioning (85 °C/85%RH/168 h) with 5× reflow at 270°C peak temperature. Then, they were inspected using a 2 µm scanning electron microscope to investigate the evidence of defects. The reliability test was also numerically simulated and analyzed using the extended finite element method implemented in ABAQUS. Findings Excellent agreements were observed between the SEM inspections and the simulation results. The findings showed evidence of discontinuities along the Cu and the Cu-epoxy layers and interfacial delamination crack at the Cu/Cu-epoxy interface. The possible root causes are thermal mismatch between the Cu and Cu-epoxy layers, moisture contamination and weak Cu/Cu-epoxy interface. The maximum crack length observed in the experimentally reflowed capacitor was measured as 75 µm, a 2.59% difference compared to the numerical prediction of 77.2 µm. Practical implications This work's contribution is expected to reduce the additional manufacturing cost and lead time in investigating reliability issues in MLCCs. Originality/value Despite the significant number of works on the reliability assessment of surface mount capacitors, work on crack growth in soft-termination MLCC is limited. Also, the combined experimental and numerical investigation of reflow-induced reliability issues in soft-termination MLCC is limited. These cited gaps are the novelties of this study.
科研通智能强力驱动
Strongly Powered by AbleSci AI