Product Introduction
This is a combination of ultrafiltration and nanofiltration equipment designed specifically for the lithium extraction process from salt lakes. Aiming at the complex characteristics of high-concentration impurities and divalent ions in salt lake brine, it provides an efficient and accurate pre-treatment solution for the lithium extraction process. The equipment uses ultrafiltration technology to remove particles, suspended matter and some organic impurities, and uses nanofiltration technology to selectively separate divalent ions (such as calcium, magnesium, sulfate, etc.), retaining lithium ions in the solution, and providing high-purity and stable raw material solutions for the subsequent lithium extraction process. The equipment is characterized by high efficiency, stability and low energy consumption, and is an important part of the lithium extraction process from salt lakes.
Core Principles
Ultrafiltration (UF) pretreatment system
The ultrafiltration system uses high-resolution membrane technology to preliminarily purify salt lake brine. Through physical filtration, it removes particulate matter, suspended matter, colloids and some macromolecular organic matter in the brine, reduces the water quality index (SDI), provides high-quality water for nanofiltration, extends the service life of nanofiltration membranes, and improves overall operating efficiency.
Nanofiltration (NF) separation system
The nanofiltration system uses selective membrane separation technology to specifically remove divalent ions (such as Mg²⁺, Ca²⁺, SO₄²⁻, etc.) in the solution, while allowing lithium ions (Li⁺) to pass smoothly. This process not only significantly reduces the magnesium-lithium ratio, but also lays the foundation for subsequent lithium extraction processes, improving lithium extraction efficiency and lithium product purity.
Collaborative Optimization
The ultrafiltration and nanofiltration systems are seamlessly connected through precise process design, ensuring the efficient operation of the pretreatment process and reducing energy consumption and operational complexity through automated control.