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基于纤维的现场表面表征,用于激光材料加工.

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    本研究介绍了一种基于光纤的激光线扫描共聚焦光学系统,用于现场表面表征. 该系统通过测量表面粗度和区分特征,在激光材料加工中实现近实时过程控制.

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    科学领域:

    • 光学和光子学 在光学和光子学.
    • 材料科学 材料科学 材料科学
    • 激光技术 激光技术 激光技术

    背景情况:

    • 在现场表面表征对于激光材料加工中的实时过程控制至关重要.
    • 传统方法可能缺乏动态调整所需的速度或分辨率.
    • 保护光学元件免受恶劣处理环境的影响是一个重大挑战.

    研究的目的:

    • 探索使用基于光纤的激光线扫描共聚焦光学系统进行现场表面表征.
    • 为了实现近乎实时的过程控制在激光材料加工.
    • 研究使用深度神经网络进行表面分析的可行性.

    主要方法:

    • 开发基于光纤的激光线扫描共聚焦光学系统,以低数值光圈运行.
    • 实施数据处理,使用深度神经网络进行表面分析.
    • 测量样品高度差异的方法的实验演示.

    主要成果:

    • 该系统允许在激光材料加工过程中进行现场表面表征.
    • 证明了确定表面粗度和区分表面特征的可行性.
    • 成功开发了一种测量高度差异的概念验证方法.

    结论:

    • 开发的基于光纤的激光线扫描共聚焦光学系统显示了对实时过程控制的承诺.
    • 深度神经网络分析有助于描述表面粗度和特征.
    • 该系统为激光材料加工中的现场监控提供了一种可行的方法.