期刊
JOURNAL OF MICRO AND NANO-MANUFACTURING
卷 5, 期 4, 页码 -出版社
ASME
DOI: 10.1115/1.4037769
关键词
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资金
- Division of Civil, Mechanical and Manufacturing Innovation [1462321]
- National Science Foundation [CMMI-1462343, CMMI-1462321]
- Intelligent System Center (ISC)
- Material Research Center (MRC) at Missouri University of Science and Technology
- Directorate For Engineering
- Div Of Civil, Mechanical, & Manufact Inn [1462343] Funding Source: National Science Foundation
- Directorate For Engineering
- Div Of Civil, Mechanical, & Manufact Inn [1462321] Funding Source: National Science Foundation
A new dry spraying additive manufacturing method for Li-ion batteries has been developed to replace the conventional slurry-casting technique for manufacturing Li-ion battery electrodes. A dry spray manufacturing process can allow for the elimination of the time-and energy-intensive slurry drying process needed due to the use solvents to make the electrodes. Previous studies into the new manufacturing method have shown successful fabrication of electrodes which have strong electrochemical and mechanical performance. Li-ion battery electrodes typically consist of three basic materials: active material (AM), binder particle additives (BPA), and conductive particle additives (CPA). In this paper, a discrete element method (DEM) simulation was developed and used to study the mixing characteristics of dry electrode powder materials. Due to the size of the particles being in the submicron to micron size range, the mixing characteristics are heavily dependent on van der Waals adhesive forces between the particles. Therefore, the effect the Li-ion battery electrode material surface energy has on the mixing characteristics was studied. Contour plots based on the DEM simulation results where the surface energy components of selected material types are changed were used to predict the mixing characteristics of different particle systems. For the cases studied, it is found that experimental mixing results are representative of the results of the DEM simulations.
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