提高效率和数据质量-用于LIBS铝回收的激光器

PhotonicsViews Pub Date : 2025-06-16 DOI:10.1002/phvs.202500013

Torsten Ledig

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引用次数: 0

摘要

铝的回收利用对经济和生态都至关重要，可以显著节约能源，减少原材料短缺。在各种铝废料分选技术中，激光诱导击穿光谱（LIBS）以其快速、准确的元素组成鉴定而脱颖而出。Neolase的MOPA方法通过提供高能量和对脉冲参数的精确控制，提高数据质量和分选效率，增强了LIBS性能。

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Boosting efficiency and data quality – lasers for LIBS aluminum recycling

Aluminum recycling is crucial for both economic and ecological reasons, offering significant energy savings and reducing raw material scarcity. Among various techniques for sorting aluminum scrap, laser-induced breakdown spectroscopy (LIBS) stands out for its rapid and precise identification of elemental composition. The MOPA approach from Neolase enhances LIBS performance by providing high energies and precise control over pulse parameters, improving data quality and sorting efficiency.

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