When AI meets additive manufacturing: Challenges and emerging opportunities for human-centered products development

C Liu, W Tian, C Kan - Journal of Manufacturing Systems, 2022 - Elsevier
Nowadays, additive manufacturing (AM) has been increasingly leveraged to produce human-
centered products, such as orthoses and prostheses as well as therapeutic helmets, finger …

An LSTM-autoencoder based online side channel monitoring approach for cyber-physical attack detection in additive manufacturing

Z Shi, AA Mamun, C Kan, W Tian, C Liu - Journal of Intelligent …, 2023 - Springer
Additive manufacturing (AM) has gained increasing popularity in a large variety of mission-
critical fields, such as aerospace, medical, and transportation. The layer-by-layer fabrication …

Augmented time regularized generative adversarial network (atr-gan) for data augmentation in online process anomaly detection

Y Li, Z Shi, C Liu, W Tian, Z Kong… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
Supervised machine learning techniques, such as classification models, have been widely
applied to online process anomaly detection in advanced manufacturing. However, since …

In-situ point cloud fusion for layer-wise monitoring of additive manufacturing

Z Ye, C Liu, W Tian, C Kan - Journal of Manufacturing Systems, 2021 - Elsevier
Additive manufacturing (AM) has received an increasing attention in the manufacturing
sector, owing to its high-level design freedom and enhanced capability to produce parts with …

Advances in Machine Learning for Sensing and Condition Monitoring

SI Ao, L Gelman, HR Karimi, M Tiboni - Applied Sciences, 2022 - mdpi.com
In order to overcome the complexities encountered in sensing devices with data collection,
transmission, storage and analysis toward condition monitoring, estimation and control …

Toward online layer-wise surface morphology measurement in additive manufacturing using a deep learning-based approach

C Liu, RR Wang, I Ho, ZJ Kong, C Williams… - Journal of Intelligent …, 2023 - Springer
Layer-wise surface morphology information plays a critical role in the quality monitoring and
control of additive manufacturing (AM) processes. 3D scan technologies can provide …

Securing cyber-physical additive manufacturing systems by in-situ process authentication using streamline video analysis

A Al Mamun, C Liu, C Kan, W Tian - Journal of Manufacturing Systems, 2022 - Elsevier
In cyber-physical systems (CPS) of additive manufacturing (AM), cyber-attacks may
significantly alter the design of the AM part, compromising its mechanical properties and …

Anomaly detection in additive manufacturing processes using supervised classification with imbalanced sensor data based on generative adversarial network

J Chung, B Shen, ZJ Kong - Journal of Intelligent Manufacturing, 2024 - Springer
Supervised classification methods have been widely utilized for the quality assurance of the
advanced manufacturing process, such as additive manufacturing (AM) for anomaly …

In situ melt pool measurements for laser powder bed fusion using multi sensing and correlation analysis

R Wang, D Garcia, RR Kamath, C Dou, X Ma, B Shen… - Scientific reports, 2022 - nature.com
Laser powder bed fusion is a promising technology for local deposition and microstructure
control, but it suffers from defects such as delamination and porosity due to the lack of …

[HTML][HTML] Integrated deep learning-based online layer-wise surface prediction of additive manufacturing

E Yangue, Z Ye, C Kan, C Liu - Manufacturing Letters, 2023 - Elsevier
Additive manufacturing (AM) is growing tremendously through its introduction into various
industries over recent years, because of its capability of fabricating objects with complex …