首页> 外国专利> Monitoring laser machining process to be carried out on workpiece, comprises detecting actual measuring values by sensor, which monitors the laser machining process, and determining actual characteristic values from actual measuring values

Monitoring laser machining process to be carried out on workpiece, comprises detecting actual measuring values by sensor, which monitors the laser machining process, and determining actual characteristic values from actual measuring values

机译:监视要在工件上执行的激光加工过程,包括通过传感器检测实际测量值,该传感器监视激光加工过程,并根据实际测量值确定实际特征值

摘要

The method comprises detecting two actual measuring values by a sensor, which monitors a laser machining process, determining two actual characteristic values from the two actual measuring values using neural networks, where the actual characteristic values mutually represent an actual fingerprint in a characteristic value range, providing a predetermined point set in the characteristic value range, and classifying the laser machining process by detecting the position of the actual fingerprint relative to the predetermined point set in the characteristic value range. The method comprises detecting two actual measuring values by a sensor, which monitors a laser machining process, determining two actual characteristic values from the two actual measuring values using neural networks, where the actual characteristic values mutually represent an actual fingerprint in a characteristic value range, providing a predetermined point set in the characteristic value range, classifying the laser machining process by detecting the position of the actual fingerprint relative to the predetermined point set in the characteristic value range, regulating a process parameter of an associated actuator, so that the actuator is activated when the actual fingerprint exits the predetermined point set of the characteristic value range. The change of the associated process parameter corresponds to gradients in the characteristic value range, which extends itself from the fingerprint in the direction of the point set in the characteristic value range. The determination of the actual characteristic value from the actual measuring value comprises a process for data reduction or dimension reduction as a main component analysis, multidimensional scaling, support vector machine or support vector classification, or industrial standard organization-manufacturing automation protocol process. The predetermined point set is fixed within the characteristic value range using a learning process. The gradient field of the characteristic value range is determined in different areas at the points in the characteristic value range in dependent of the process parameter, where the points in the characteristic value range are representative for the respective area with respect to the gradients. The gradients of the characteristic value range are determined by variation of the process parameter at a predetermined point of the characteristic value range in dependent of the process parameter. The sensor comprises a photodiode with filter for the determined wavelengths, body- and airborne receiver, and a camera unit with a corresponding surface illumination. The actuator comprises a controller of the laser capacity, a speed controller of a machining head relative to a workpiece, a controller of the focal position of the machining laser beam, a controller of the distance of the machining head to the workpiece, and a controller of lateral offsets. Independent claims are included for: (1) a device for monitoring a laser machining process to be carried out on a workpiece; and (2) a laser machining head for processing a workpiece.
机译:该方法包括:通过传感器检测两个实际测量值,该传感器监视激光加工过程;使用神经网络从两个实际测量值中确定两个实际特征值,其中,实际特征值相互代表特征值范围内的实际指纹;提供在特征值范围内设置的预定点,并且通过检测实际指纹相对于在特征值范围内设置的预定点的位置来对激光加工过程进行分类。该方法包括:通过传感器检测两个实际测量值,该传感器监视激光加工过程;使用神经网络从两个实际测量值中确定两个实际特征值,其中,实际特征值相互代表特征值范围内的实际指纹;提供在特征值范围内设置的预定点,通过检测实际指纹相对于在特征值范围内设置的预定点的位置来对激光加工过程进行分类,调节相关致动器的工艺参数,从而使致动器为当实际指纹离开特征值范围的预定点集时激活。关联的过程参数的更改对应于特征值范围内的梯度,该梯度从指纹沿特征值范围内设置的点的方向延伸。从实际测量值确定实际特征值包括用于数据缩减或尺寸缩减作为主要成分分析的过程,多维缩放,支持向量机或支持向量分类或工业标准组织制造自动化协议过程。使用学习过程将预定点集固定在特征值范围内。根据过程参数在特征值范围内的点的不同区域中确定特征值范围的梯度场,其中,特征值范围内的点代表相对于梯度的各个区域。通过在特征值范围的预定点处根据过程参数改变过程参数来确定特征值范围的梯度。该传感器包括一个光电二极管,该光电二极管带有用于确定波长的滤光片,人体和机载接收器,以及带有相应表面照明的摄像头。致动器包括激光容量控制器,加工头相对于工件的速度控制器,加工激光束的焦点位置的控制器,加工头至工件的距离的控制器以及控制器。横向偏移量。包括以下方面的独立权利要求:(1)用于监视要在工件上进行的激光加工过程的设备; (2)用于加工工件的激光加工头。

著录项

  • 公开/公告号DE102008058422A1

    专利类型

  • 公开/公告日2010-05-27

    原文格式PDF

  • 申请/专利权人 PRECITEC ITM GMBH;PRECITEC KG;

    申请/专利号DE20081058422

  • 发明设计人 WERSBORG BUERGERL.;SCHROTH GEORG;

    申请日2008-11-21

  • 分类号B23K26/03;G01N21/25;G01N21/37;G05B13/02;

  • 国家 DE

  • 入库时间 2022-08-21 18:28:36

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