化工设计

本文针对卤水提锂工艺的核心环节——沉锂反应开展系统性研究，深入剖析了氯化锂与碳酸钠溶液的浓度、温度、配比、停留时间、加料方式、搅拌转速及加料/出料位置等单因素对沉锂过程的作用机理，构建了多维度控制策略；指出了各工艺参数的交互作用显著影响碳酸锂结晶形貌，需在兼顾能耗与设备稳定性的前提下选择最优参数组合；创新性提出了建立“工艺参数—结晶粒径—形貌特征”交互作用数据库，构建基于大数据深度学习的数据驱动优化框架，以实现不同类型卤水提锂装置沉锂反应条件的精准适配；同时，指出了利用结晶学原理进一步提升卤水提锂装置技术水平、缩短工艺流程、降低装置能耗的研究方向。

This paper conducts a systematic study on the core process of lithium extraction from brine, specifically focusing on the lithium precipitation reaction. It deeply analyzes the mechanism by which individual factors such as the concentration,temperature, proportioning ratio, residence time, feeding method, stirring speed and feeding/discharging positions of lithium chloride and sodium carbonate solutions affect the lithium precipitation process, and constructs a multidimensional control strategy. It points out that the interaction of various process parameters significantly affects the crystal morphology of lithium carbonate, and the optimal parameter combination should be selected under the premise of considering both energy consumption and equipment stability. The paper innovatively proposes the establishment of an interactive database for "process parameters-crystal particle size-morphological characteristics", and constructs a data-driven optimization framework based on deep learning of big data, aiming to achieve precise adaptation of reaction conditions for lithium precipitation in different types of brine lithium extraction units. Additionally, it highlights the research direction of utilizing crystallographic principles to further enhance the technical level of brine-based lithium extraction unit, shorten the process flow, and reduce energy consumption of the unit.