SurfMon:一个基于学习的光学工艺表面监测系统,用于测量地形缺陷
Applied optics
|August 12, 2025
概括
SurfMon是一个光学表面监控系统,使用激光光斑和机器学习来在制造过程中检测过程中的缺陷. 这项技术通过早期识别缺陷,节省资源和成本,有助于可持续制造.
科学领域:
- 制造业计量学 制造业计量学
- 可持续制造 可持续制造 可持续制造
- 光学表面监测监测器
背景情况:
- 计量学对于制造的零件质量至关重要,特别是随着可持续制造需求的增加.
- 在制造过程中早期检测缺陷可以节省材料,能源和成本,从而促进可持续性.
- 现有的计量系统可能缺乏在工艺过程中监控的灵活性.
研究的目的:
- 为了介绍SurfMon,一个便携式的,在工艺过程中的光学表面监测系统.
- 通过激光光斑和机器学习来证明系统在检测地形缺陷方面的能力.
- 评估SurfMon在现实世界制造环境中的有效性.
主要方法:
- SurfMon使用激光光斑模式测量和机器学习算法 (主要组件分析).
- 该系统包括激光,摄像头,微控制器和光学,由可充电电池供电.
- 它是为工艺测量而设计的,可以安装在机床上,用于在加工后监测表面.
主要成果:
- 该系统成功地从制造表面捕获了反射激光斑点图案.
- 训练了一个主要组件分析模型,以识别表面地形上的异常.
- 在CNC机器上证明的有效性表明对实时缺陷检测有希望.
结论:
- SurfMon是一个有前途的解决方案,用于制造业的工艺表面监测.
- 该系统的灵活性和学习能力支持可持续的制造实践.
- 通过这种基于激光斑点的方法,可以早期检测地形缺陷.
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