Digital Twin Industrial Software

Aims & Scope

Digital twin have gone through conceptual exploration, theoretical and technical research, and are now entering the stage of practical application. Industrial software is a key vehicle for implementing digital twin, however a universal digital twin research and application development platform is currently lacking. The session “Digital Twin Industrial Software” will share and discuss the latest research and application progress in digital twin industrial software.                                                              

The session will focus on the following points

• Requirements, research status, and progress for universal digital twin software/platforms

• Key theories and supporting technologies for digital twin software/platforms

• Development and application progress of digital twin software/platforms in various fields, such as manufacturing, healthcare, urban planning, and transportation

 

Session Chairs

Presentations

  • Assistant Professor
    Aarhus University
    Title: To be confirmed
    Abstract To be confirmed
  • Postdoc
    Aarhus University
    Title: To be confirmed
    Abstract To be confirmed
  • PhD Candidate
    University of Victoria
    Title: To be confirmed
    Abstract To be confirmed
  • Postdoctoral Researcher
    The Hong Kong Polytechnic University
    Title: Digital Twin Enabled Flight Control System Testing: Framework, Method, and Implementation
    Abstract As the core of the aircraft’s onboard systems, the flight control system (FCS) is critical to ensuring reliability and safety during flight. To verify its proper functioning, FCS testing is one of the most important functional mechanical test tasks in the final assembly line of aircraft production. We introduce DT technology into FCS testing and conduct research from three aspects: system framework, methods, and implementations. By introducing networked testing devices such as inertial angle sensors, the efficiency of data acquisition during testing can be improved. To enhance the level of networked monitoring during testing, various testing elements—including test data, equipment, and network resources—must be managed in a unified manner. Moreover, coordination between testing performance and network resources is required to ensure test quality. The proposed approach has been technically validated in a major aircraft manufacturing enterprise.
  • PhD Candidate
    Jiangsu University
    Title: Digital Twin-Enabled Hybrid Additive and Welding Manufacturing: Bridging Process Integration and Intelligent Control
    Abstract Digital twin (DT) technology realizes intelligent control and quality assurance in hybrid additive-welding manufacturing. By combining additive manufacturing (AM) and laser welding, the hybrid process supports the production of large and complex components, but there are challenges in process integration and defect control. Through real-time multi-physical modeling, multi-modal sensing, and closed-loop adaptive control, DT tackles these challenges, and realizes the collaborative modeling of microstructure characterization, deformation prediction, and multi-scale performance prediction of complex parts based on molten pool behavior. Machine learning further improves the accuracy and prediction timeliness of the model. This presentation focuses on laser directed energy deposition (LDED), laser powder bed melting (LPBF), and laser welding, and reviews the key advances in DT-driven modeling, monitoring, and control strategies, providing insights into the future development of fully autonomous, high-performance hybrid manufacturing systems.