Optimization Setting of Reagent Dosage in Rare Earth Extraction Process Based on JITL

Abstract

The mechanism of the rare earth extraction process is complex, and the extraction efficiency is greatly affected by the environment. The optimal dose setting value determined by the mechanism model is not the optimal setting value for the actual extraction process. In order to make the rare earth extraction process always run in the most economical state, this paper proposes an optimal setting approach for the dosage of the rare earth extraction process based on just-in-time learning (JITL). Firstly, according to the mechanism model of the rare earth extraction process, an optimization model of the rare earth extraction process with the goal of maximizing economic benefits is established, and the theoretical optimal dose value is obtained; Then, a local model of reagent dosage increment and economic benefit increment is established utilizing the JITL, and the dosage increment that maximizes the economic benefit increment is then obtained; Finally, the increment is applied to the rare earth production process, and the approach is iterated continuously to maximize the economic benefit. The simulation result of the CePr/Nd extraction process demonstrates the effectiveness of the proposed method.