What are the welding parameters based on a model?
Current, voltage, and welding speed fluctuate dynamically within the preset parameter range. The average welding current, voltage, and speed are 169.18 A, 23.47 V, and 0.3 m/min, respectively. Fig. 12. Welding parameter history retrospective. In Fig. 12 (b), (c), (d), the welding parameters are adaptively controlled based on the model.
Why is adjustment of welding parameters important?
Whether it is automotive manufacturing, aerospace or Marine industry, reasonable adjustment of welding parameters is the core link to ensure the strength, appearance and consistency of the weld.
How do weld parameters change during the adaptive process?
During the adaptive process, as shown in Fig. 11 (b), (c), (d) from time t 1 to t 2, the process parameters dynamically adjust from preset values to stable values, resulting in increased weld filling to match the groove, thus forming the transition zone of the weld.
Why do weld parameters change over time?
However, due to the limitations of the adaptive model, at the 60s mark in Fig. 12 (b), continuous updating and input of sample intervals cause the data model to exhibit fitting deviations for special samples, leading to another dynamic change in welding parameters and a significant increase in weld filling.
What is welding parameter optimization?
Welding parameter optimization is a systematic engineering integrating experience knowledge and advanced technology. By mastering the inherent laws between parameters, combined with intelligent algorithms and digital tools, enterprises can significantly improve welding quality and production efficiency.
How can ml predict welding parameters?
We used various ML algorithms, including regression analysis, neural networks, and support vector machines, to establish predictive models for welding parameters. In addition, we also studied the automation control methods of the welding process and proposed an ML based automation control strategy.
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