基于microjoule高脉冲重复频率LIBS手持合金分析仪器的设计和优化
Dongming Qu1,2, Guang Yang1,2, Wenwen Zhou3
1College of Instrumentation Electrical Engineering, Jilin University, Changchun, JiLin 130061, China.
The Review of scientific instruments
|August 6, 2024
概括
一种新的手持式金属检测仪器使用激光诱导分解光谱 (LIBS) 和树Pi. 该设备在快速分类12种合金等级时,达到95%以上的准确性.
科学领域:
- 分析化学 分析化学
- 频谱学是一种光谱学.
- 材料科学 材料科学 材料科学
背景情况:
- 激光诱导分解光谱 (LIBS) 是一种强大的分析技术.
- 对于现场应用来说,LIBS仪器的小型化至关重要.
- 准确和快速的材料识别在各种行业中至关重要.
研究的目的:
- 设计和开发一款便携式手持仪器,用于金属检测和合金分类.
- 为了将microjoule高重复频率LIBS与Raspberry Pi控制核心集成.
- 使用便携式设备,实现多种合金等级的高分类精度.
主要方法:
- 使用10kHz,100μJ脉冲激光作为激发源.
- 包含一个迷你推进器用于自动样品表面切除.
- 采用简单的光学路径进行等离子体辐射收集和光谱测量.
- 开发和训练了一种反向传播的人工神经网络 (BP-ANN) 模型.
主要成果:
- 手持LIBS仪器成功分类了12种不同的合金等级.
- 在便携式设备上实现了超过95%的分类准确性.
- 由集成的BP-ANN模型实现的快速分类能力.
结论:
- 开发的手持LIBS仪器为金属检测和合金识别提供了一个便携式和准确的解决方案.
- 整合LIBS,Raspberry Pi和BP-ANN使得有效的现场分析成为可能.
- 这项技术在现场材料验证和质量控制方面具有重大潜力.
相关概念视频
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