Development of Digital Twin for FDM Printer With Preventive Cyber-Attack and Control Algorithms
Hazrat Ali M. Waqar Malik A. Jyeniskhan N. Arif Mahmood M. Shehab E. Liou F.
2024Institute of Electrical and Electronics Engineers Inc.
IEEE Access
2024#12193594 - 193606 pp.
This paper presents a developed model of a Digital Twin (DT) for a fused deposition modeling (FDM) printer, real-time defect detection, and proposed frameworks for preventing cyber-attacks in real-time. It also highlights a model predictive control (MPC) algorithm based on a real-time feedback system for controlling the material feed. The system is designed and developed based on DT, and MPC with integrated machine learning (ML) algorithms to establish real-time process control and enhance the safety and reliability of the physical plant. ML algorithm is used for anomaly detection based on the convolutional neural network (CNN) model. The developed system can be practically utilized in smart manufacturing industries as well as cyber-physical systems-based plants. The work is novel and original as this type of DT and cyber-physical systems (CPS) are very new to additive manufacturing (AM) industries. There are several conceptual models in the literature and there is a critical need for such implemented working systems.
additive manufacturing , cyber-physical system , cybersecurity , Digital twin , machine learning , model predictive control , smart manufacturing
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Nazarbayev University, School of Engineering and Digital Sciences (SEDS), Department of Mechanical and Aerospace Engineering, Astana, 010000, Kazakhstan
Mississippi State University, National Strategic Planning and Analysis Research Center (NSPARC), Department of Electrical and Computer Engineering, Starkville, 39759, MS, United States
University of Stavanger, Department of Mechanical and Structural Engineering and Material Science, Stavanger, 4021, Norway
Missouri University of Science and Technology, Intelligent Systems Center, Rolla, 65409, MO, United States
Missouri University of Science and Technology, Department of Mechanical and Aerospace Engineering, Rolla, 65409, MO, United States
Nazarbayev University
Mississippi State University
University of Stavanger
Missouri University of Science and Technology
Missouri University of Science and Technology
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