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Real-time implementation of generalized predictive algorithm for direct metal deposition (DMD) process control

机译:实时预测直接金属沉积(DMD)过程控制的通用算法

摘要

A direct metal deposition (DMD) process is stabilized by monitoring the temperature and the shape of the melt pool during deposition, applying a recursive least square (RLS) model estimation algorithm to adaptively identify process characteristics in accordance with the temperature and the shape of the melt pool, and delivering the process characteristics to a generalized predictive controller with input constraints to control the process. The process may be controlled by adjusting laser power or by adjusting the speed of the movement of the laser. In the preferred embodiment the temperature is monitored using a two-color pyrometer, and the shape of the melt pool is monitored by detecting the edge of the melt pool with a camera and/or photodetector.
机译:通过监控沉积过程中熔池的温度和形状来稳定直接金属沉积(DMD)工艺,应用递归最小二乘(RLS)模型估计算法根据温度和熔体形状自适应地识别工艺特征。熔池,并将过程特征传递到具有输入约束条件的广义预测控制器以控制过程。该过程可以通过调节激光功率或通过调节激光的运动速度来控制。在优选实施例中,使用双色高温计监测温度,并且通过用照相机和/或光电检测器检测熔池的边缘来监测熔池的形状。

著录项

  • 公开/公告号US9044827B2

    专利类型

  • 公开/公告日2015-06-02

    原文格式PDF

  • 申请/专利权人 LIJUN SONG;JYOTI MAZUMDER;

    申请/专利号US20080130351

  • 发明设计人 LIJUN SONG;JYOTI MAZUMDER;

    申请日2008-05-30

  • 分类号B23K26/34;B23K26/14;B23K26/03;B23K26/12;

  • 国家 US

  • 入库时间 2022-08-21 15:18:48

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