Digital Twin for Process Industry

Aims & Scope

The process industry is the pillar of national economies and includes the chemical, iron and steel, and non-ferrous industries. Digital Twin creates the core of smart manufacturing by integrating advanced sensing, communication, and data mining technologies. It facilitates complicated decision making in all aspects of the process industry, including supply chains, product quality, energy scheduling, and equipment diagnosis. Digital Twin has greatly facilitated the modeling and optimization of manufacturing processes, but it also brings a number of challenges, e.g., how to integrate mechanism knowledge with industrial big data in the modeling of industrial process and how to deal with multiple and coupled objectives in the optimization of the production process. This session aims to showcase innovative research from both theoretical and practical perspectives, exploring the challenges and opportunities brought by the integration of Digital Twin technology and process manufacturing.                            

 

The session will focus on the following points

• Digital Twin key technologies in Process Manufacturing

• Applications of Digital Twin in Process Manufacturing

• Application of artificial intelligence in Process Manufacturing

• Design and application of Digital Twin platforms in Process Manufacturing 


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Your valuable insights are welcome! 

We cordially invite interested researchers to contact us for details and presentation applications at: secretariat@idea-global.net

Session Chairs

Presentations

  • Professor
    Shanghai Jiaotong University
    Title: To be confirmed
    Abstract To be confirmed
  • Associate Professor
    Central South University
    Title: To be confirmed
    Abstract To be confirmed
  • Assistant Professor
    City University of Hong Kong
    Title: To be confirmed
    Abstract To be confirmed
  • Associate Professor
    Chongqing University
    Title: To be confirmed
    Abstract To be confirmed
  • Research fellow
    The University of Tokyo
    Title: To be confirmed
    Abstract To be confirmed
  • Professor
    University of Science and Technology Beijing
    Title: To be confirmed
    Abstract To be confirmed