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Center Resources
Access research publications, tools, datasets, and educational materials from the Digital Twin Center.
Project Resources
- Digital Twins Project Summaries Project overview documentView Document (opens in new tab)
- Membership Agreement Membership documentView Document (opens in new tab)
- CDTM - IUCRC Bylaws Governance documentView Document (opens in new tab)
- CDTM - Procedures Manual Operations guidelinesView Document (opens in new tab)
- CDTM Overview Deck Center overview presentationView Slides (opens in new tab)
Reports
Digital Twins and AI in Semiconductor Manufacturing
Comprehensive report on the applications of digital twin technologies and artificial intelligence in semiconductor manufacturing processes.
Download DocumentArtificial Intelligence to Advance High-Mix Production: A Roadmap for the Semiconductor Industry
Roadmap outlining how artificial intelligence can advance high-mix production in the semiconductor industry.
Download PDFDigital Twin Framework Keynote
Keynote presentation covering the digital twin framework development and implementation strategies.
Download SlidesAdvanced Process Control - Smart Manufacturing
Presentation on advanced process control in smart manufacturing (October 2024).
View PresentationPublications & Research
A Requirements Driven Digital Twin Framework: Specification and Opportunities
J. Moyne, Y. Qamsane, E. C. Balta, I. Kovalenko, J. Faris, K. Barton, and D. M. Tilbury
A set of requirements for a Digital Twin (DT) framework has been derived from analysis of DT definitions, DTs in use today, expected DT applications in the near future, and longer-term DT trends and the DT vision in Smart Manufacturing. These requirements include elements of re-usability, interoperability, interchangeability, maintainability, extensibility, and autonomy across the entire DT lifecycle.
A Methodology to Develop and Implement Digital Twin Solutions for Manufacturing Systems
Y. Qamsane, J. Moyne, M. Toothman, I. Kovalenko, E. C. Balta, J. Faris, D. M. Tilbury, and K. Barton
This paper introduces a Digital Twin (DT) solution development methodology as a generic procedure for analyzing and developing DTs for manufacturing systems. A case study illustrates the advantages of the proposed methodology in supporting manufacturing DT solutions.
An Adaptive, State-Based Framework for Fault Prediction in Rotating Equipment
M. Toothman, B. Braun, S. J. Bury, J. Moyne, D. M. Tilbury, K. Barton
Advanced framework for predictive maintenance using adaptive state-based models for rotating manufacturing equipment.
Digital-Twin based Cyber-Attack Detection Framework for Cyber-Physical Manufacturing Systems
E. C. Balta, M. Pease, J. Moyne, K. Barton, and D. M. Tilbury
Novel cybersecurity framework leveraging digital twin technology for detecting and mitigating cyber attacks in manufacturing systems.
Full Stack Virtual Commissioning: Requirements Framework to Bridge Gaps in Current Virtual Commissioning Process
J. B. Sim, K. N. Shah, M. Saez, J. Abell, Y. Zhou, J. Faris, D. M. Tilbury, and K. Barton
Comprehensive approach to virtual commissioning using full-stack digital twin implementations for manufacturing systems.
A Digital Twin Framework for Mechanical System Health State Estimation
M. Toothman, B. Braun, S. J. Bury, M. Dessauer, K. Henderson, S. Phillips, Y. Yixin, D. M. Tilbury, J. Moyne, K. Barton
Digital twin framework for estimating mechanical system health states in manufacturing environments.
An Integrated Framework for Dynamic Manufacturing Planning to Obtain New Line Configurations
L. Poudel, I. Kovalenko, R. Geng, M. Takaharu, Y. Nonaka, N. Takahiro, U. Shota, D. M. Tilbury, and K. Barton
Integrated framework for dynamic manufacturing planning to achieve new production line configurations using digital twin technologies.
A Digital Twin Framework for Performance Monitoring and Anomaly Detection in Fused Deposition Modeling
E. Balta, D. Tilbury, and K. Barton
Digital twin framework for performance monitoring and anomaly detection in additive manufacturing processes, specifically fused deposition modeling.
Real-time manufacturing machine and system performance monitoring using Internet of Things
Miguel Saez, Francisco Maturana, Kira Barton, and Dawn Tilbury
Real-time performance monitoring system for manufacturing machines and systems using Internet of Things technologies and digital twin principles.
Digital Twin Framework for Reconfiguration Management: Concept & Evaluation
B. Caesar, K. Barton, D. M. Tilbury, A. Fay
Digital twin framework for managing reconfiguration in manufacturing systems, including concept development and evaluation methodologies.
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