| Toward a smart wire arc additive manufacturing system: A review on current developments and a framework of digital twin H Mu, F He, L Yuan, P Commins, H Wang, Z Pan Journal of Manufacturing Systems 67, 174-189, 2023 | 78 | 2023 |
| A defect detection system for wire arc additive manufacturing using incremental learning Y Li, J Polden, Z Pan, J Cui, C Xia, F He, H Mu, H Li, L Wang Journal of Industrial Information Integration 27, 100291, 2022 | 78 | 2022 |
| Research and application of artificial intelligence techniques for wire arc additive manufacturing: a state-of-the-art review F He, L Yuan, H Mu, M Ros, D Ding, Z Pan, H Li Robotics and Computer-Integrated Manufacturing 82, 102525, 2023 | 71 | 2023 |
| Layer-by-layer model-based adaptive control for wire arc additive manufacturing of thin-wall structures H Mu, J Polden, Y Li, F He, C Xia, Z Pan Journal of Intelligent Manufacturing 33 (4), 1165-1180, 2022 | 39 | 2022 |
| Online distortion simulation using generative machine learning models: A step toward digital twin of metallic additive manufacturing H Mu, F He, L Yuan, H Hatamian, P Commins, Z Pan Journal of Industrial Information Integration 38, 100563, 2024 | 31 | 2024 |
| MIMO model predictive control of bead geometry in wire arc additive manufacturing H Mu, Z Pan, Y Li, F He, J Polden, C Xia 2021 IEEE 11th Annual International Conference on CYBER Technology in …, 2021 | 8 | 2021 |
| A digital shadow approach for enhancing process monitoring in wire arc additive manufacturing using sensor fusion H Mu, F He, L Yuan, P Commins, D Ding, Z Pan Journal of Industrial Information Integration 40, 100609, 2024 | 6 | 2024 |
| Defect detection and process monitoring for wire arc additive manufacturing using machine learning H Mu, Z Chen, F He, Y Li, C Xia, P Commins, Z Pan International Conference on Robotic Welding, Intelligence and Automation, 3-22, 2020 | 4 | 2020 |
| Integrating human expertise to optimize the fabrication of parts with complex geometries in WAAM F He, L Yuan, H Mu, M Ros, D Ding, H Li, Z Pan Journal of Manufacturing Systems 74, 858-868, 2024 | 3 | 2024 |
| Machine Learning in Process Monitoring and Control for Wire-Arc Additive Manufacturing Y Li, H Mu, Z Yu, C Xia, Z Pan, H Li International Conference on Robotic Welding, Intelligence and Automation, 33-43, 2020 | 1 | 2020 |
| High-Frequency Real-Time Bead Geometry Measurement in Wire Arc Additive Manufacturing Based on Welding Signals H Mu, F He, L Yuan, P Commins, J Xu, Z Pan IEEE Transactions on Industrial Informatics, 2024 | | 2024 |
| Fabricating complex parts through optimizing weld bead geometry in WAAM: A comparative study of surface tension transfer and cold metal transfer F He, L Yuan, H Mu, M Ros, D Ding, H Li, Z Pan Journal of Manufacturing Processes 131, 1498-1513, 2024 | | 2024 |
| Digital Twin of Wire Arc Additive Manufacturing H Mu University of Wollongong, 2024 | | 2024 |
| A Physics-Informed Machine Learning Approach for Temperature Field Prediction in Metallic Additive Manufacturing Z Chen, H Mu, F He, Y Lei, H Zhu, N Ma, Z Pan Available at SSRN 5037876, 0 | | |
| A Machine Learning Approach for Real-Time Measuring the Bead Geometry in Wire Arc Additive Manufacturing Using Welding Electric Signals H Mu, F He, Y Lei, P Commins, Z Pan Available at SSRN 4355851, 0 | | |