Prediction method of plasma arc welding molten pool melting state based on spatial and channel characteristics

CHEN Chen; ZHOU Fangzheng; LI Chenglong; LIU Xinfeng; JIA Chuanbao; XU Yao

doi:10.12073/j.hjxb.20220516001

TRANSACTIONS OF THE CHINA WELDING INSTITUTION > 2023 > 44(4): 30-38. > DOI: 10.12073/j.hjxb.20220516001

CHEN Chen, ZHOU Fangzheng, LI Chenglong, LIU Xinfeng, JIA Chuanbao, XU Yao. Prediction method of plasma arc welding molten pool melting state based on spatial and channel characteristics[J]. TRANSACTIONS OF THE CHINA WELDING INSTITUTION, 2023, 44(4): 30-38. DOI: 10.12073/j.hjxb.20220516001

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Prediction method of plasma arc welding molten pool melting state based on spatial and channel characteristics

1.
Shandong Jianzhu University, Jinan, 250101, China
2.
Shandong University, Jinan, 250100, China

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Received Date: May 15, 2022
Available Online: April 05, 2023

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Abstract

Abstract

To improve the accuracy of predicting the molten pool penetration state in plasma arc welding so as to meet industrial needs, this paper proposes a model called PCSCNet that integrates image space and channel characteristics. In this model, the convolutional residual network ResNet50 structure is modified and integrated into the channel attention network squeeze and excitation network to simultaneously extract spatial feature information and channel feature information from the front image of the molten pool. By testing on a dataset of constant current plasma arc welding experiments, the model establishes the corresponding relationship between the front surface image of the weld pool and the state of the keyhole. The results show that the model achieves a prediction accuracy of over 95%. Using the Grad-CAM method, the model's predicted focus area is visualized, analyzed, and compared with the actual molten pool's image features to verify the model's reliability.
- deep learning,
- plasma arc welding,
- spacial and channel features,
- squeeze and excitation network,
- residual network

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References

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Prediction method of plasma arc welding molten pool melting state based on spatial and channel characteristics