Modelling and control for laser based welding processes: modern methods of process control to improve quality of laser-based joining methods

Ralf-Kilian Zäh; Benedikt Mosbach; Jan Hollwich; Benedikt Faupel

doi:10.1117/12.2248909

6 March 2017 Modelling and control for laser based welding processes: modern methods of process control to improve quality of laser-based joining methods

Ralf-Kilian Zäh, Benedikt Mosbach, Jan Hollwich, Benedikt Faupel

Author Affiliations +

Proceedings Volume 10097, High-Power Laser Materials Processing: Applications, Diagnostics, and Systems VI; 100970A (2017) https://doi.org/10.1117/12.2248909
Event: SPIE LASE, 2017, San Francisco, California, United States

Abstract

To ensure the competitiveness of manufacturing companies it is indispensable to optimize their manufacturing processes. Slight variations of process parameters and machine settings have only marginally effects on the product quality. Therefore, the largest possible editing window is required. Such parameters are, for example, the movement of the laser beam across the component for the laser keyhole welding. That`s why it is necessary to keep the formation of welding seams within specified limits. Therefore, the quality of laser welding processes is ensured, by using post-process methods, like ultrasonic inspection, or special in-process methods. These in-process systems only achieve a simple evaluation which shows whether the weld seam is acceptable or not. Furthermore, in-process systems use no feedback for changing the control variables such as speed of the laser or adjustment of laser power. In this paper the research group presents current results of the research field of Online Monitoring, Online Controlling and Model predictive controlling in laser welding processes to increase the product quality. To record the characteristics of the welding process, tested online methods are used during the process. Based on the measurement data, a state space model is ascertained, which includes all the control variables of the system. Depending on simulation tools the model predictive controller (MPC) is designed for the model and integrated into an NI-Real-Time-System.

Citation Download Citation

Ralf-Kilian Zäh, Benedikt Mosbach, Jan Hollwich, and Benedikt Faupel "Modelling and control for laser based welding processes: modern methods of process control to improve quality of laser-based joining methods", Proc. SPIE 10097, High-Power Laser Materials Processing: Applications, Diagnostics, and Systems VI, 100970A (6 March 2017); https://doi.org/10.1117/12.2248909

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