Multistage Continuous Extractor Model LX520

Lithium carbonate production involves the recovery of lithium-containing compounds from mineral ores or brine solutions. Filtering centrifuges, such as the Rousselet-Robatel Model EH horizontal axis peeler shown above, are crucial for separating the solid lithium carbonate particles from the liquid phase, which may contain impurities or by-products. Basket centrifuges, both horizontal axis and vertical axis styles, use perforated baskets under high speed rotation to separate solids from liquids. With the ability to handle a wide range of particle sizes, filtering centrifuges are ideal for the batch automatic processing of lithium carbonate. Filtering centrifuges permit the purification of lithium carbonate through cake washing, which removes unwanted impurities and ensuring the final product meets quality standards required for various applications, such as battery manufacturing. In summary, filtering centrifuges are essential tools in the production of lithium carbonate, facilitating the separation, purification, and concentration of these materials for the production of high-quality lithium compounds for high-purity industrial applications. | Solvent extraction is a fundamental technology in the battery recycling industry, particularly for the recovery of precious metals such as cobalt, nickel, and lithium from spent batteries. Centrifugal extractors, such as the continuous Model LX multistage system shown above, play a key role by facilitating the recovery of these valuable materials. Contributing to the sustainable reuse of critical resources, centrifugal extractors provide benefits such as low hold-up volume relative to throughput and they offer a compact footprint for minimizing floor space (up to seven stages on a single rotor). Applicable to extraction, scrubbing, stripping, and washing, the Rousselet-Robatel range of continuous centrifugal extractors are efficient, selective, and offer an economically viable solution for the recovery of valuable metals from complex process matrices.