| 학회 | 한국화학공학회 |
| 학술대회 | 2019년 봄 (04/24 ~ 04/26, 제주국제컨벤션센터) |
| 권호 | 25권 1호, p.703 |
| 발표분야 | 재료(Materials) |
| 제목 | Reconstruction of microstructure from insufficient random section images : Application to battery electrodes |
| 초록 | Performances of a lithium-ion battery are significantly affected by a microstructure of an electrode consist of active materials, conducting additives, and polymeric binders. Nowadays, researchers have modified a microstructure of the electrodes as well as its materials to achieve high energy and power density. [1] Here, we proposed a method to reconstruct the microstructure of the electrode from insufficient random cross-section images obtained by a focused ion beam scanning electron microscope (FIB-SEM), for quantitative structural analysis . The particle size distribution was estimated with regularization by simple optimization followed by probabilistic transformation. [2] Furthermore, various structural information such as an tortuosity and effective ion conductivity were extracted employing random walk simulation. [1] Pikul, J. H., Zhang, H. G., Cho, J., Braun, P. V., & King, W. P. (2013). Nature communications, 4, 1732. [2] Blödner, R., Mühlig, P., & Nagel, W. (1984). Journal of Microscopy, 135(1), 61-74. |
| 저자 | 임형주, 김동재, 남재욱 |
| 소속 | 서울대 |
| 키워드 | 재료 |
| 원문파일 | 초록 보기 |
