Paper
24 November 1999 Sensors and controls for intelligent machining
Arnold Braunsteiner, Georg Hutflesz, Thomas Gruenberger, Markus Bohrer
Author Affiliations +
Abstract
Laserwelding is a most important technique in automatic production lines for high numbers of production units. Visualizing the process accelerates the production, enables controlling the process parameters and reduces waste. We present latest results of an online visualization system in this industrial process. Sensor of different sensitivity, combined with optical materials, new in this field, give information to signal processors for mathematical evaluation. Computed result give immediate response to the system. We used the latest digital signal processing technique to cover the need for quick response within a few microseconds. Thus the system can react and for example exceed the laser power or add material to avoid pores.
© (1999) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Arnold Braunsteiner, Georg Hutflesz, Thomas Gruenberger, and Markus Bohrer "Sensors and controls for intelligent machining", Proc. SPIE 3832, Sensors and Controls for Intelligent Machining and Manufacturing Mechatronics, (24 November 1999); https://doi.org/10.1117/12.371169
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KEYWORDS
Sensors

Signal processing

Control systems

Digital signal processing

Laser cutting

Convolution

Silicon

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