Camera based in-process control for laser welding enables flexible image processing which allows the adaption of the system to different processes and quality features. A closed loop control system with a Cellular Neural Network Camera was implemented into a laser welding machine. The system is surveying the contour of the full penetration hole with a frame rate of over 10 kHz for both, acquisition and evaluation of area images. As a result the system reaches and holds the full penetration state automatically. This paper shows the latest experimental results including the extension to direction independent weldings
In this paper new CNN based visual algorithms for the control of welding processes are proposed. The...
Cameras based on Cellular Neural Networks (CNN) have the potential to enable new applications for in...
Welding with laser beams is an innovative optical technique, which leads to higher penetration depth...
Camera based in-process control for laser welding enables flexible image processing which allows the...
Today, image processing using coaxial camera setups is used to monitor the quality of laser material...
Real time monitoring of laser welding has a more and more importance in several manufacturing proces...
Today, image processing using coaxial camera setups is used to monitor the quality of laser material...
Today, image processing using coaxial camera setups is used to monitor the quality of laser material...
Cellular Neural Networks (CNN) are more and more attractive for closed loop control systems based on...
In the last decades the laser beam welding (LBW) has outclassed older welding techniques in the indu...
Former investigations showed that many errors in laser welding processes are detectable by analyzing...
The high dynamics of laser beam welding (LBW) in several manufacturing processes ranging from automo...
In this paper the results obtained by the use of new CNN based visual algorithms for the control of ...
In this paper a new cellular neural network (CNN) based visual algorithm for welding processes is pr...
Today image processing using a coaxial camera setup is used to monitor the quality of laser material...
In this paper new CNN based visual algorithms for the control of welding processes are proposed. The...
Cameras based on Cellular Neural Networks (CNN) have the potential to enable new applications for in...
Welding with laser beams is an innovative optical technique, which leads to higher penetration depth...
Camera based in-process control for laser welding enables flexible image processing which allows the...
Today, image processing using coaxial camera setups is used to monitor the quality of laser material...
Real time monitoring of laser welding has a more and more importance in several manufacturing proces...
Today, image processing using coaxial camera setups is used to monitor the quality of laser material...
Today, image processing using coaxial camera setups is used to monitor the quality of laser material...
Cellular Neural Networks (CNN) are more and more attractive for closed loop control systems based on...
In the last decades the laser beam welding (LBW) has outclassed older welding techniques in the indu...
Former investigations showed that many errors in laser welding processes are detectable by analyzing...
The high dynamics of laser beam welding (LBW) in several manufacturing processes ranging from automo...
In this paper the results obtained by the use of new CNN based visual algorithms for the control of ...
In this paper a new cellular neural network (CNN) based visual algorithm for welding processes is pr...
Today image processing using a coaxial camera setup is used to monitor the quality of laser material...
In this paper new CNN based visual algorithms for the control of welding processes are proposed. The...
Cameras based on Cellular Neural Networks (CNN) have the potential to enable new applications for in...
Welding with laser beams is an innovative optical technique, which leads to higher penetration depth...
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