부산대학교 도서관

The objective of this paper is to establish a classification evaluation method considering the effect of specific gravity sorting in air classification. A sample of fine particle group (0.063 mm or less) of photovoltaic panel cell sheet crushed was used as a representative sample of the multi-component ground product. The sample was classified into three groups using an elbow-jet classifier, and the resulting coarse, medium, and fine fractions were subjected to XRF chemical component analysis, SEM image analysis, and particle size distribution measurement. From the results, it was confirmed that a part of the particle size range was reversed between the coarse and medium fractions. This is because the photovoltaic panel cell sheet ground product is multi-component, which is affected by the difference in specific gravity of each component. Silver particles with high specific gravity were more likely to distribute in the coarse fraction area, and resin particles with low specific gravity were vice versa. The results of the three-point sorting of coarse, medium, and fine fractions were modified to the two-point sorting of coarse and fine fractions, and the effect of specific gravity sorting was quantitatively evaluated using the specific gravity sorting efficiency and the absolute specific gravity sorting efficiency. The apparent specific gravity sorting efficiency is a value indicating the reversal ratio of the particle size range between coarse and fine fractions. The absolute specific gravity sorting efficiency is an inherent value that expresses the effect of specific gravity sorting of the raw powder, and this value can be used to predict the classification results.