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FACULTY
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Zhang, Yingjie
Positional Title: Associate Professor
Email: arabinjasmine@scut.edu.cn
Working For: Shien-Ming Wu School of Intelligent Engineering
Graduated School: National University of Singapore
Final Degree: Ph.D.
Office: D1-b528
Zip Code: 510640
Telephone: 020-81122121
Mentor Type:
Personal profile
Dr Zhang received her Bachelor’s and Master’s degree from Dalian University of Technology in 2011 and 2014; PhD degree in Mechanical Engineering from National University of Singapore in 2019. She then did postdoc at the Centre for Additive Manufacturing in National University of Singapore. Dr Zhang joined in Shien-Ming Wu School of Intelligent Engineering, South China University of Technology as an Associate Professor in 2020. Her research work focused on 1) additive manufacturing process monitoring and quality control; 2) fault diagnosis and 3) machine vision and deep learning.
Work Experience
2019 - 2020 Research Fellow, National University of Singapore
2020 - Present Associate Professor, Shien-Ming Wu School of Intelligent Engineering, South China University of Technology
Education
2007 - 2011 B.S., Mechanical Engineering, Dalian University of Technology
2011 - 2014 M.S., Mechanical Engineering, Dalian University of Technology
2014 - 2019 Ph.D., Mechanical Engineering, National University of Singapore
Research Interest
The development of in-situ monitoring system in additive manufacturing; 2）The modelling on parameter selection and quality control in additive manufacturing；3）The development of fault diagnosis algorithms based on machine learning; 4）The uncertainty modelling in quality prediction
Selected Publications
2022
[1].Zhang, Yingjie, Wentao Yan, Xiaojun Peng, Zhangdong Chen, Zimeng Jiang, and Di Wang. 'Investigation into the optical emission of features for powder-bed fusion AM process monitoring.' The International Journal of Advanced Manufacturing Technology (2022): 1-13.
[2].Zhang, Yingjie, and Wentao Yan. 'Applications of machine learning in metal powder-bed fusion in-process monitoring and control: status and challenges.' Journal of Intelligent Manufacturing (2022): 1-24.
[3].Chen, Hui, Yingjie Zhang, Amanda Giam, and Wentao Yan. 'Experimental and computational study on thermal and fluid behaviours of powder layer during selective laser melting additive manufacturing.' Additive Manufacturing 52 (2022): 102645.
2021
[4].Zhang, Yingjie, Wentao Yan, Geok Soon Hong, Jerry Fuh Hsi Fuh, Di Wang, Xin Lin, and Dongsen Ye. 'Data fusion analysis in the powder-bed fusion AM process monitoring by Dempster-Shafer evidence theory.' Rapid Prototyping Journal (2021).
[5].Wang, Di, Wenhao Dou, Yuanhui Ou, Yongqiang Yang, Chaolin Tan*, and Yingjie Zhang*. 'Characteristics of droplet spatter behavior and process-correlated mapping model in laser powder bed fusion.' journal of materials research and technology 12 (2021): 1051-1064.
2019
[6].Zhang, Yingjie, Hong Geok Soon, Dongsen Ye, Jerry Ying Hsi Fuh, and Kunpeng Zhu. 'Powder-bed fusion process monitoring by machine vision with hybrid convolutional neural networks.' IEEE Transactions on Industrial Informatics 16, no. 9 (2019): 5769-5779.
[7].Chen, Hui, Qingsong Wei, Yingjie Zhang, Fan Chen, Yusheng Shi, and Wentao Yan. 'Powder-spreading mechanisms in powder-bed-based additive manufacturing: Experiments and computational modeling.' Acta Materialia 179 (2019): 158-171.
[8].Ye, Dongsen, Kunpeng Zhu, Jerry Ying Hsi Fuh, Yingjie Zhang, and Hong Geok Soon. 'The investigation of plume and spatter signatures on melted states in selective laser melting.' Optics & Laser Technology 111 (2019): 395-406.
[9].Zhang, Yingjie, Jerry YH Fuh, Dongsen Ye, and Geok Soon Hong. 'In-situ monitoring of laser-based PBF via off-axis vision and image processing approaches.' Additive Manufacturing 25 (2019): 263-274.
2018
[10].Zhang, Yingjie, Geok Soon Hong, Dongsen Ye, Kunpeng Zhu, and Jerry YH Fuh. 'Extraction and evaluation of melt pool, plume and spatter information for powder-bed fusion AM process monitoring.' Materials & Design 156 (2018): 458-469.
[11].Ye, Dongsen, Jerry Ying Hsi Fuh, Yingjie Zhang, Geok Soon Hong, and Kunpeng Zhu. 'In situ monitoring of selective laser melting using plume and spatter signatures by deep belief networks.' ISA transactions 81 (2018): 96-104.
[12].Ye, Dongsen, Geok Soon Hong, Yingjie Zhang, Kunpeng Zhu, and Jerry Ying Hsi Fuh. 'Defect detection in selective laser melting technology by acoustic signals with deep belief networks.' The International Journal of Advanced Manufacturing Technology 96, no. 5 (2018): 2791-2801.
