Method and Apparatus for Automatically Processing Multiple Applications in a Predetermined Order to Affect Multi-application Sequencing
    1.
    发明申请
    Method and Apparatus for Automatically Processing Multiple Applications in a Predetermined Order to Affect Multi-application Sequencing 有权
    用于以预定顺序自动处理多个应用程序以影响多应用程序排序的方法和装置

    公开(公告)号:US20070278191A1

    公开(公告)日:2007-12-06

    申请号:US11754254

    申请日:2007-05-25

    IPC分类号: B23K15/00

    摘要: An apparatus and method performing a sequence of processing steps on a load supported by a processing plate. The load can include a single sheet on which a plurality of applications are performed or can include a plurality of panels on which respective applications are performed. For each application, at least one coarse target and at least one panel target are used to adjust the programmed coordinates for that application. After the first application of the load is processed using the coarse and panel targets, coarse and panel targets are located for the second application. Using the alignment provided by these targets, the second application is processed. Each subsequent application is similarly aligned and processed.

    摘要翻译: 一种在由处理板支持的负载上执行处理步骤序列的装置和方法。 负载可以包括在其上执行多个应用的​​单个片材,或者可以包括执行相应应用的多个面板。 对于每个应用程序,使用至少一个粗略目标和至少一个面板目标来调整该应用程序的编程坐标。 在使用粗略和面板目标处理负载的第一次应用之后,为第二个应用定位粗略和面板目标。 使用这些目标提供的对齐方式,处理第二个应用程序。 每个后续应用程序都是类似的对齐和处理。

    METHOD AND APPARATUS FOR OPTIMALLY LASER MARKING ARTICLES
    3.
    发明申请
    METHOD AND APPARATUS FOR OPTIMALLY LASER MARKING ARTICLES 有权
    用于最佳激光标记的方法和装置

    公开(公告)号:US20120043306A1

    公开(公告)日:2012-02-23

    申请号:US12859498

    申请日:2010-08-19

    IPC分类号: B23K26/38 B23K26/06 B23K26/40

    CPC分类号: B23K26/40 B23K2101/35

    摘要: The invention is a method and apparatus for laser marking a stainless steel specimen with commercially desirable marks. The method includes providing a laser processing system having a laser, laser optics and a controller with pre-determined laser pulse parameters, selecting the pre-determined laser pulse parameters associated with the desired mark, and directing the laser marking system to produce laser pulses having laser pulse parameters associated with the desired marks including temporal pulse widths greater than about 1 and less than about 1000 picoseconds.

    摘要翻译: 本发明是一种激光标记具有商业上可取的标记的不锈钢样品的方法和装置。 该方法包括提供具有激光,激光光学器件和具有预定激光脉冲参数的控制器的激光处理系统,选择与所需标记相关联的预定激光脉冲参数,以及引导激光打标系统产生具有 与期望标记相关联的激光脉冲参数包括大于约1皮秒和小于约1000皮秒的时间脉冲宽度。

    Method and apparatus for optimally laser marking articles
    4.
    发明授权
    Method and apparatus for optimally laser marking articles 有权
    用于最佳激光打标的方法和装置

    公开(公告)号:US08604380B2

    公开(公告)日:2013-12-10

    申请号:US12859498

    申请日:2010-08-19

    IPC分类号: B23K26/00

    CPC分类号: B23K26/40 B23K2101/35

    摘要: The invention is a method and apparatus for laser marking a stainless steel specimen with commercially desirable marks. The method includes providing a laser processing system having a laser, laser optics and a controller with pre-determined laser pulse parameters, selecting the pre-determined laser pulse parameters associated with the desired mark, and directing the laser marking system to produce laser pulses having laser pulse parameters associated with the desired marks including temporal pulse widths greater than about 1 and less than about 1000 picoseconds.

    摘要翻译: 本发明是一种激光标记具有商业上可取的标记的不锈钢样品的方法和装置。 该方法包括提供具有激光,激光光学器件和具有预定激光脉冲参数的控制器的激光处理系统,选择与所需标记相关联的预定激光脉冲参数,以及引导激光打标系统产生具有 与期望标记相关联的激光脉冲参数包括大于约1皮秒和小于约1000皮秒的时间脉冲宽度。

    Automatic recipe management for laser processing a work piece
    5.
    发明授权
    Automatic recipe management for laser processing a work piece 有权
    激光加工工件的自动配方管理

    公开(公告)号:US08173931B2

    公开(公告)日:2012-05-08

    申请号:US12164698

    申请日:2008-06-30

    IPC分类号: B23K26/40 G06F19/00 G05B19/18

    摘要: To better address these problems, one or more characteristics are measured from a work piece (28). The measurement information is used to select a preferred predetermined laser processing recipe from a lookup table. The laser processing recipe is then used to process the work piece (28). The lookup table of laser processing recipes can be established from theoretical calculations, from trial an error by an operator, from an automated systematic recipe variation process with post process testing, or from some combination of these or other methods. An automated process can also reduce operator errors and may store measurement values for convenient tracking of work piece characteristics.

    摘要翻译: 为了更好地解决这些问题,从工件(28)测量一个或多个特性。 测量信息用于从查找表中选择优选的预定激光处理配方。 然后使用激光加工配方来处理工件(28)。 激光加工配方的查找表可以从理论计算,从操作员的误差,自动化系统配方变化过程,后处理测试或这些或其他方法的某种组合建立。 自动化过程还可以减少操作员的错误,并可能存储测量值,以方便跟踪工件特性。

    AUTOMATIC RECIPE MANAGEMENT FOR LASER PROCESSING A WORK PIECE
    6.
    发明申请
    AUTOMATIC RECIPE MANAGEMENT FOR LASER PROCESSING A WORK PIECE 有权
    用于激光加工工作的自动化管理

    公开(公告)号:US20090308854A1

    公开(公告)日:2009-12-17

    申请号:US12164698

    申请日:2008-06-30

    IPC分类号: B23K26/40 G06F19/00 G05B19/18

    摘要: To better address these problems, one or more characteristics are measured from a work piece (28). The measurement information is used to select a preferred predetermined laser processing recipe from a lookup table. The laser processing recipe is then used to process the work piece (28). The lookup table of laser processing recipes can be established from theoretical calculations, from trial an error by an operator, from an automated systematic recipe variation process with post process testing, or from some combination of these or other methods. An automated process can also reduce operator errors and may store measurement values for convenient tracking of work piece characteristics.

    摘要翻译: 为了更好地解决这些问题,从工件(28)测量一个或多个特性。 测量信息用于从查找表中选择优选的预定激光处理配方。 然后使用激光加工配方来处理工件(28)。 激光加工配方的查找表可以从理论计算,从操作员的误差,自动化系统配方变化过程,后处理测试或这些或其他方法的某种组合建立。 自动化过程还可以减少操作员的错误,并可能存储测量值,以方便跟踪工件特性。

    Adaptive command filtering for servomechanism control systems
    7.
    发明申请
    Adaptive command filtering for servomechanism control systems 有权
    伺服机构控制系统的自适应命令过滤

    公开(公告)号:US20050285558A1

    公开(公告)日:2005-12-29

    申请号:US11129059

    申请日:2005-05-12

    IPC分类号: G05B13/04 G05D23/275

    CPC分类号: G05B13/041

    摘要: Preferred embodiments of the invention implement techniques for modifying the command trajectory, the architecture of a servomechanism control system, or both, to reduce the servo error during and/or after the command trajectory. An iterative refinement procedure generates for use by the servomechanism control system a corrective input, du, which significantly reduces the error between the desired and actual servomechanism control system outputs. In one embodiment, a uniquely identified plant model is employed in the iterative refinement procedure to compute an approximate gradient that improves the performance and reliability of the refinement procedure. In another embodiment, the actual plant response is used in place of the identified model in the iterative refinement procedure. This is accomplished by time-reversing the stored error signal from a training run, before applying it to the plant to generate an update to the corrective input signal du.

    摘要翻译: 本发明的优选实施例实现了用于修改命令轨迹,伺服机构控制系统的结构或两者的技术,以减少在命令轨迹期间和/或之后的伺服误差。 对伺服机构控制系统产生的迭代精制过程可用于校正输入du,这显着地减少了期望的和实际的伺服机构控制系统输出之间的误差。 在一个实施例中,在迭代细化过程中采用唯一识别的植物模型来计算提高细化过程的性能和可靠性的近似梯度。 在另一个实施例中,在迭代细化过程中使用实际植物响应来代替所识别的模型。 这是通过将训练运行中存储的误差信号时间反转,然后将其应用到工厂来产生对纠正输入信号du的更新来实现的。

    Image quality via multi-wavelength light
    8.
    发明申请
    Image quality via multi-wavelength light 有权
    图像质量通过多波长光

    公开(公告)号:US20070253033A1

    公开(公告)日:2007-11-01

    申请号:US11414678

    申请日:2006-04-28

    IPC分类号: H04N1/40

    摘要: A method and apparatus to improve image quality in images captured via monochromatic cameras using multi-wavelength lighting. A contrast optimization algorithm determines which particular wavelength among those available is most suitable to maximize contrast. The quality of the image can be further improved through active noise cancellation by determining the lighting schemes that provide maximum and minimum contrast between a target and a background. The elimination of image texture data (i.e., noise) is then accomplished through pixel-by-pixel division of the maximum by the minimum contrast image. Alternatively, images obtained using at least two wavelengths can be algebraically combined for noise reduction. The resulting composite image can be fed into any known target identification algorithm.

    摘要翻译: 一种改善通过使用多波长照明的单色相机拍摄的图像中的图像质量的方法和装置。 对比度优化算法确定可用的那些特定波长最适合于最大化对比度。 通过确定在目标和背景之间提供最大和最小对比度的照明方案,可以通过主动噪声消除来进一步改善图像的质量。 然后通过最小对比度图像的逐像素划分来完成消除图像纹理数据(即,噪声)。 或者,使用至少两个波长获得的图像可以被代数组合用于降噪。 所得到的合成图像可以被馈送到任何已知的目标识别算法中。

    Adaptive command filtering for servomechanism control systems
    9.
    发明授权
    Adaptive command filtering for servomechanism control systems 有权
    伺服机构控制系统的自适应命令过滤

    公开(公告)号:US07345448B2

    公开(公告)日:2008-03-18

    申请号:US11129059

    申请日:2005-05-12

    IPC分类号: G05B13/02

    CPC分类号: G05B13/041

    摘要: Preferred embodiments of the invention implement techniques for modifying the command trajectory, the architecture of a servomechanism control system, or both, to reduce the servo error during and/or after the command trajectory. An iterative refinement procedure generates for use by the servomechanism control system a corrective input, du, which significantly reduces the error between the desired and actual servomechanism control system outputs. In one embodiment, a uniquely identified plant model is employed in the iterative refinement procedure to compute an approximate gradient that improves the performance and reliability of the refinement procedure. In another embodiment, the actual plant response is used in place of the identified model in the iterative refinement procedure. This is accomplished by time-reversing the stored error signal from a training run, before applying it to the plant to generate an update to the corrective input signal du.

    摘要翻译: 本发明的优选实施例实现了用于修改命令轨迹,伺服机构控制系统的结构或两者的技术,以减少在命令轨迹期间和/或之后的伺服误差。 对伺服机构控制系统产生的迭代精制过程可用于校正输入du,这显着地减少了期望的和实际的伺服机构控制系统输出之间的误差。 在一个实施例中,在迭代细化过程中采用唯一识别的植物模型来计算提高细化过程的性能和可靠性的近似梯度。 在另一个实施例中,在迭代细化过程中使用实际植物响应来代替所识别的模型。 这是通过将训练运行中存储的误差信号时间反转,然后将其应用到工厂来产生对纠正输入信号du的更新来实现的。