Digital Twin Simulation (E) (WP)*
Niveau
Master's program
Learning outcomes of the courses/module
The participants:
• understand the fundamentals of modeling and can apply them
• know typical applications and advantages of simulations
• know simulation domains and simulation software for smart products and solutions
• can create models and simulation processes
• can interpret simulation results
• can define a smart communicating product
• are familiar with the concepts of digital twin, condition monitoring, predictive maintenance
• understand the fundamentals of modeling and can apply them
• know typical applications and advantages of simulations
• know simulation domains and simulation software for smart products and solutions
• can create models and simulation processes
• can interpret simulation results
• can define a smart communicating product
• are familiar with the concepts of digital twin, condition monitoring, predictive maintenance
Prerequisites for the course
none
Course content
Fundamentals and modeling:
-Introduction to digital twins, their significance and areas of application
-Teaching the theoretical fundamentals and methods of modeling
Simulation and software:
-Overview of simulation techniques and their typical applications
-Getting to know various simulation software and practical exercises
Smart products and solutions:
-Creation and analysis of models for smart, communicating products
-Integration of digital twins into IoT systems and their advantages
Advanced concepts and applications:
-Introduction to advanced topics such as condition monitoring and predictive maintenance
-Discussion of the role of digital twins in future technology development.
Practical project:
-Planning and carrying out your own digital twin project to apply what you have learned
-Introduction to digital twins, their significance and areas of application
-Teaching the theoretical fundamentals and methods of modeling
Simulation and software:
-Overview of simulation techniques and their typical applications
-Getting to know various simulation software and practical exercises
Smart products and solutions:
-Creation and analysis of models for smart, communicating products
-Integration of digital twins into IoT systems and their advantages
Advanced concepts and applications:
-Introduction to advanced topics such as condition monitoring and predictive maintenance
-Discussion of the role of digital twins in future technology development.
Practical project:
-Planning and carrying out your own digital twin project to apply what you have learned
Recommended specialist literature
Nath, S. V. (2021). Building Industrial Digital Twins : Design, Develop, and Deploy Digital Twin Solutions for Real-World Industries Using Azure Digital Twins.
Zhang, Y. (2024). Digital Twin Architectures, Networks, and Applications (1st ed. 2024).
Blaschke, F. (2024). Implementation and Benefits of Digital Twin on Decision Making and Data Quality Management. (1st ed.).
Digital Twin Technology. (2023). IntechOpen.
Tao, F., Zhang, M., & Nee, A. Y. C. (2019). Digital twin driven smart manufacturing.
Zhang, Y. (2024). Digital Twin Architectures, Networks, and Applications (1st ed. 2024).
Blaschke, F. (2024). Implementation and Benefits of Digital Twin on Decision Making and Data Quality Management. (1st ed.).
Digital Twin Technology. (2023). IntechOpen.
Tao, F., Zhang, M., & Nee, A. Y. C. (2019). Digital twin driven smart manufacturing.
Assessment methods and criteria
Written exam
Seminar paper
Seminar paper
Language
English
Number of ECTS credits awarded
4
Semester hours per week
Planned teaching and learning method
Lecture, group work, presentation and discussion of assignments
Semester/trimester in which the course/module is offered
3