| Extraction and evaluation of melt pool, plume and spatter information for powder-bed fusion AM process monitoring Y Zhang, GS Hong, D Ye, K Zhu, JYH Fuh Materials & Design 156, 458-469, 2018 | 274 | 2018 |
| Defect detection in selective laser melting technology by acoustic signals with deep belief networks D Ye, GS Hong, Y Zhang, K Zhu, JYH Fuh The International Journal of Advanced Manufacturing Technology 96 (5-8 …, 2018 | 241 | 2018 |
| Powder-spreading mechanisms in powder-bed-based additive manufacturing: Experiments and computational modeling H Chen, Q Wei, Y Zhang, F Chen, Y Shi, W Yan Acta Materialia 179, 158-171, 2019 | 234 | 2019 |
| In situ monitoring of selective laser melting using plume and spatter signatures by deep belief networks D Ye, JYH Fuh, Y Zhang, GS Hong, K Zhu ISA transactions 81, 96-104, 2018 | 146 | 2018 |
| In-situ monitoring of laser-based PBF via off-axis vision and image processing approaches Y Zhang, JYH Fuh, D Ye, GS Hong Additive Manufacturing 25, 263-274, 2019 | 96 | 2019 |
| Powder-bed fusion process monitoring by machine vision with hybrid convolutional neural networks Y Zhang, GS Hong, D Ye, JYH Fuh, K Zhu IEEE Transactions on Industrial Informatics, 2019 | 92 | 2019 |
| The investigation of plume and spatter signatures on melted states in selective laser melting D Ye, K Zhu, JYH Fuh, Y Zhang, HG Soon Optics & Laser Technology 111, 395-406, 2019 | 72 | 2019 |
| Experimental and computational study on thermal and fluid behaviours of powder layer during selective laser melting additive manufacturing H Chen, Y Zhang, A Giam, W Yan Additive Manufacturing, 102645, 2022 | 26 | 2022 |
| Applications of machine learning in metal powder-bed fusion in-process monitoring and control: status and challenges Y Zhang, W Yan Journal of Intelligent Manufacturing, 1-24, 2022 | 23 | 2022 |
| Characteristics of droplet spatter behavior and process-correlated mapping model in laser powder bed fusion D Wang, W Dou, Y Ou, Y Yang, C Tan, Y Zhang Journal of Materials Research and Technology 12, 1051-1064, 2021 | 20 | 2021 |
| Data fusion analysis in the powder-bed fusion AM process monitoring by Dempster-Shafer evidence theory Y Zhang, W Yan, GS Hong, JFH Fuh, D Wang, X Lin, D Ye Rapid Prototyping Journal, 2021 | 14 | 2021 |
| Polarizing color filter based on subwavlength metallic grating with grooves carved in J Chu, Y Zhang, Z Wang, L Guan Optics Communications 315, 32-36, 2014 | 14 | 2014 |
| Characterization of acoustic signals during a direct metal laser sintering process D Ye, Y Zhang, K Zhu, G Hong, J YingHsi International Conference on Energy Equipment Science and Engineering II …, 2017 | 13 | 2017 |
| Influence of shielding gas flow consistency on parts quality consistency during large-scale laser powder bed fusion Y Yang, Z Chen, Z Liu, H Wang, Y Zhang, D Wang Optics & Laser Technology 158, 108899, 2023 | 8 | 2023 |
| Multi-orientated wire-grid polarizer and its application to polarization navigation JK Chu, ZW Wang, YJ Zhang, YL Wang Guangxue Jingmi Gongcheng(Optics and Precision Engineering) 20 (10), 2237-2244, 2012 | 6 | 2012 |
| Influence mechanism of laser delay on internal defect and surface quality in stitching region of 316L stainless steel fabricated by dual-laser selective laser melting D Wang, H Wang, Z Liu, Z Chen, Y Long, Y Zhang, Y Bai Journal of Manufacturing Processes 94, 35-48, 2023 | 5 | 2023 |
| A deep convolutional network combining layerwise images and defect parameter vectors for laser powder bed fusion process anomalies classification Z Jiang, A Zhang, Z Chen, C Ma, Z Yuan, Y Deng, Y Zhang Journal of Intelligent Manufacturing, 1-31, 2023 | 4 | 2023 |
| Microphone Signal Specialities in Laser Powder Bed Fusion: Single-track Scan and Multi-track Scan Z Chen, D Wang, Y Zhang Journal of Materials Research and Technology, 2023 | 3 | 2023 |
| A lightweight high-resolution algorithm based on deep learning for layer-wise defect detection in laser powder bed fusion H Yan, JF Cai, Y Zhao, Z Jiang, Y Zhang, H Ren, Y Zhang, H Li, Y Long Measurement Science and Technology 35 (2), 025604, 2023 | 1 | 2023 |
| Prediction of mechanical properties of LPBF built part based on process monitoring and Gaussian process regression Z Yuan, X Peng, C Ma, A Zhang, Z Chen, Z Jiang, Y Zhang Measurement Science and Technology, 2024 | | 2024 |
