Study on color separation and identification technology for rare-earth permanent magnet waste
Rare-earth waste exhibits significant diversity in types and complex compositions.Efficient classification and grading of rare-earth waste produce intermediate materials with reduced impurity content,which is essential for improving recycling efficiency and lowering carbon emissions.This study focuses on the general rare-earth permanent magnet waste,NdFeB,in different coatings and investigates efficiency factors such as light intensity and capture angle.The study proposes a novel method based on multidimensional light-intensity dynamic self-compensation.A threshold optimization algorithm is developed to mitigate environmental factors for typical rare-earth waste.The research findings demonstrate that within the light-intensity range of 82-161 lux,the model achieves a high correlation coefficient of up to R2=0.97,with sorting efficiency reaching 100％.This study provides new insights into the efficient sorting and enrichment of rare-earth waste and promotes low-carbon recycling efforts.
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