Adaptive model-based temperature control in friction stir welding

2017 ◽  
Vol 93 (1-4) ◽  
pp. 1157-1171 ◽  
Author(s):  
A. Bachmann ◽  
J. Gamper ◽  
M. Krutzlinger ◽  
A. Zens ◽  
M. F. Zaeh
Keyword(s):  
Friction Stir Welding ◽  
Temperature Control ◽  
Adaptive Model ◽  
Friction Stir ◽  
Model Based

scholarly journals An adaptive model-based feedforward temperature control of a 100 kW PEM electrolyzer

2022 ◽  
Vol 120 ◽  
pp. 104992
Author(s):  
R. Keller ◽  
E. Rauls ◽  
M. Hehemann ◽  
M. Müller ◽  
M. Carmo
Keyword(s):  
Temperature Control ◽  
Adaptive Model ◽  
Model Based ◽  
Pem Electrolyzer

Closed-Loop Temperature Control of Material Plasticisation during Friction Stir Welding

2014 ◽  
Vol 1019 ◽  
pp. 120-125
Author(s):  
D.G. Hattingh ◽  
Theo I. van Niekerk ◽  
Raymond Pothier
Keyword(s):  
Friction Stir Welding ◽  
Temperature Control ◽  
Closed Loop ◽  
Control Strategies ◽  
Industrial Process ◽  
Traverse Speed ◽  
Feedback Signal ◽  
Monitoring And Control ◽  
Friction Stir ◽  
Tool Geometries

This research presents the potential for improved joint integrity of friction stir welding by controlling the plasticisation temperature in the weld nugget. During a typical FSW, temperature fluctuates with position along the length of the weld. Working from a basis that for all material and tool geometries, there is an Optimal Plasticisation Temperature (OPT), this paper provides a strategy for maintaining this optimal weld temperature by adjusting selected weld input parameters ensuring consistent joint quality, irrespective of component geometry or clamp configuration. This proposed methodology can also be used to determine the OPT for different FSW tool geometries and material combinations. Advanced monitoring and control strategies are essential to ensure that FSW can be made a more robust industrial process that can keep pace with the modern demand for more consistent production and reliability of welded structures. The potential lies in the possibility for an operator to now select an OPT point for a specific approved welding program and allow the welding platform to maintain the OPT via closed-loop temperature control which adjusts tool rotation and or tool traverse speed. This paper further reports on the potential of integration of a closed-loop temperature control algorithm for FSW. The system measures the temperature inside the FSW tool using thermocouple sensors (creating the feedback signal). The controller then applies a PID algorithm which in turn drives the spindle speed (and if necessary, tool traverse speed) in order to change the energy input rate to the weld for controlling plasticisation temperature.

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