Coordinated monitoring and control method of deposited layer width and reinforcement in WAAM process Y Wang, X Xu, Z Zhao, W Deng, J Han, L Bai, X Liang, J Yao Journal of Manufacturing Processes 71, 306-316, 2021 | 50 | 2021 |
Active disturbance rejection control of layer width in wire arc additive manufacturing based on deep learning Y Wang, J Lu, Z Zhao, W Deng, J Han, L Bai, X Yang, J Yao Journal of Manufacturing Processes 67, 364-375, 2021 | 50 | 2021 |
Quality monitoring in wire-arc additive manufacturing based on cooperative awareness of spectrum and vision Z Zhao, Y Guo, L Bai, K Wang, J Han Optik 181, 351-360, 2019 | 45 | 2019 |
Weld reinforcement analysis based on long-term prediction of molten pool image in additive manufacturing Y Wang, C Zhang, J Lu, L Bai, Z Zhao, J Han IEEE Access 8, 69908-69918, 2020 | 38 | 2020 |
Optimal imaging band selection mechanism of weld pool vision based on spectrum analysis Z Zhao, L Deng, L Bai, Y Zhang, J Han Optics & Laser Technology 110, 145-151, 2019 | 32 | 2019 |
Additive seam tracking technology based on laser vision Z Zhao, J Luo, Y Wang, L Bai, J Han The International Journal of Advanced Manufacturing Technology 116 (1), 197-211, 2021 | 31 | 2021 |
Multimodal-based weld reinforcement monitoring system for wire arc additive manufacturing B Shen, J Lu, Y Wang, D Chen, J Han, Y Zhang, Z Zhao Journal of Materials Research and Technology 20, 561-571, 2022 | 29 | 2022 |
Identification of butt welded joint penetration based on infrared thermal imaging R Yu, J Han, L Bai, Z Zhao Journal of Materials Research and Technology 12, 1486-1495, 2021 | 29 | 2021 |
Material-guided multiview fusion network for hyperspectral object tracking Z Li, F Xiong, J Zhou, J Lu, Z Zhao, Y Qian IEEE Transactions on Geoscience and Remote Sensing 62, 1-15, 2024 | 22 | 2024 |
Quantitative prediction for weld reinforcement in arc welding additive manufacturing based on molten pool image and deep residual network J Lu, H He, Y Shi, L Bai, Z Zhao, J Han Additive Manufacturing 41, 101980, 2021 | 20 | 2021 |
Monitoring of back bead penetration based on temperature sensing and deep learning R Yu, H He, J Han, L Bai, Z Zhao, J Lu Measurement 188, 110410, 2022 | 19 | 2022 |
Real-time prediction of welding penetration mode and depth based on visual characteristics of weld pool in GMAW process R Yu, J Han, Z Zhao, L Bai Ieee Access 8, 81564-81573, 2020 | 19 | 2020 |
Online weld pool contour extraction and seam width prediction based on mixing spectral vision Y Zhang, Z Zhao, Y Zhang, L Bai, K Wang, J Han Optical review 26, 65-76, 2019 | 18 | 2019 |
The 3D narrow butt weld seam detection system based on the binocular consistency correction X Wang, T Chen, Y Wang, D Zheng, X Chen, Z Zhao Journal of Intelligent Manufacturing 34 (5), 2321-2332, 2023 | 17 | 2023 |
Dual camera snapshot hyperspectral imaging system via physics-informed learning H Xie, Z Zhao, J Han, Y Zhang, L Bai, J Lu Optics and Lasers in Engineering 154, 107023, 2022 | 16 | 2022 |
Collaborative and quantitative prediction for reinforcement and penetration depth of weld bead based on molten pool image and deep residual network J Lu, Y Shi, L Bai, Z Zhao, J Han IEEE Access 8, 126138-126148, 2020 | 14 | 2020 |
Quantitative prediction of additive manufacturing deposited layer offset based on passive visual imaging and deep residual network H He, J Lu, Y Zhang, J Han, Z Zhao Journal of Manufacturing Processes 72, 195-202, 2021 | 13 | 2021 |
A seam tracking method based on an image segmentation deep convolutional neural network J Lu, A Yang, X Chen, X Xu, R Lv, Z Zhao Metals 12 (8), 1365, 2022 | 11 | 2022 |
TIG stainless steel molten pool contour detection and weld width prediction based on Res-Seg Y Wang, J Han, J Lu, L Bai, Z Zhao Metals 10 (11), 1495, 2020 | 11 | 2020 |
Visual texture-based 3-D roughness measurement for additive manufacturing surfaces H Yu, C Peng, Z Zhao, L Bai, J Han Ieee Access 7, 186646-186656, 2019 | 11 | 2019 |