一种用于实时质量控制的新型喷雾检测算法,用于激光定向能量沉积基础增材制造中的实时质量控制
Farzaneh Kaji1, Jinoop Arackal Narayanan2, Mark Zimny3
1Multi-Scale Additive Manufacturing Laboratory, Department of Mechanical and Mechatronics Engineering, University of Waterloo, Waterloo, ON N2L 3G1, Canada.
Sensors (Basel, Switzerland)
|June 27, 2025
概括
本研究介绍了一种视觉监测系统,用于分析激光定向能量沉积 (LDED) 过程中喷雾的形成. 开发的图像处理精确量化了喷,将它们与工艺参数相关联,以预测零件质量.
科学领域:
- 添加剂制造 添加剂制造 添加剂制造
- 材料科学 材料科学 材料科学
- 过程监控 过程监控
背景情况:
- 激光定向能量沉积 (LDED) 对于3D金属打印和零件维修至关重要.
- 融化池的稳定性和喷行为是LDED的关键性能指标.
- 需要有效的监测,以确保高质量的沉积.
研究的目的:
- 开发和验证一个图像处理系统,用于描述LDED中的喷雾形成.
- 为了将喷雾特性与LDED过程参数相关联.
- 评估喷雾对沉积连续性的影响,并预测零件质量.
主要方法:
- 使用了一种离轴视觉监控系统,配有高动态范围摄像头和带通波器.
- 一个新的图像处理算法量化了喷雾数量,方向,面积和距离.
- 实验是在基于1千瓦光纤激光的LDED系统上进行的.
主要成果:
- 图像处理算法在恶劣条件下实现了超过93%的检测精度.
- 在激光功率和平均喷射数量之间发现了强烈的正相关性.
- 喷雾检测成功地用于评估沉积的连续性.
结论:
- 开发的视觉系统和图像处理管道为监控LDED提供了一个强大的方法.
- 这种方法使喷雾形成与过程参数的相关性成为可能.
- 它为预测和提高3D打印金属元件的质量提供了一条途径.
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