Scrubbing is a suitable method for cleaning fine slime on the surface of microcrystalline graphite, improving its flotation performance. However, little attention has been paid to the effect of the scrubbing medium’s particle size on enrichment efficiency of scrubbing flotation of microcrystalline graphite. In this work, scrubbing parameters (i.e., scrubbing medium’s particle size, stirring speed, and solid concentration) were optimized via response surface methodology using Box-Behnken design to yield the maximum enrichment efficiency of graphite ore. The scrubbing medium’s particle size was found to be the most important influencing factor. The optimal conditions for scrubbing process were obtained and tested to confirm the results predicted by the Design-Expert software. The enrichment efficiency of graphite treated with scrubbing media of different sizes was compared under optimal stirring speed and solid concentration conditions. The effect of the scrubbing medium’s particle size on the scrubbing flotation of graphite was investigated by a comparison of the graphite particle size distribution before and after scrubbing, and field emission scanning electron microscopic examination of raw ore and flotation concentrates.

擦洗是一种用于清洁微晶石墨表面细泥的合适方法，可改善其浮选性能。然而，很少有人关注洗涤介质的粒度对微晶石墨的洗涤浮选富集效率的影响。在这项工作中，使用Box-Behnken设计通过响应面方法优化了洗涤参数（即洗涤介质的粒径，搅拌速度和固体浓度），以产生最大的石墨矿富集效率。发现洗涤介质的粒径是最重要的影响因素。获得了洗涤过程的最佳条件并进行了测试，以确认由Design-Expert软件预测的结果。在最佳搅拌速度和固体浓度条件下，比较了用不同尺寸的洗涤介质处理过的石墨的富集效率。通过比较洗涤前后的石墨粒度分布以及原矿和浮选精矿的场发射扫描电子显微镜检查，研究了洗涤介质的粒径对石墨洗涤浮选的影响。