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Note: The lab course will take place at the laboratory for product development and lightweight design.

After participating in the module, students will be able to: - know basic characteristics and terminology in the context of digital twins. - understand the challenges facing practitioners in implementation processes. - understand the basics of designing and implementing digital twins. - Analyze a technical system with regard to possible use cases of digital twins and identify them. - Evaluate the identified use cases in terms of their economic and technical potential. - Develop one of the identified use cases and apply it to the given technical system. - Be able to handle both an unstructured and a systematic, methodical approach to the design and implementation of digital twins. - To skillfully present complex technical issues rhetorically to an expert audience. - To work on a project in interdisciplinary teams: they understand other subject cultures and can make decisions based on this as well as argue for their implementation.

Digital twins are one of the most promising concepts for technical product development. However, around 20 years after the first publication by NASA, digital twins (DTs) have still not arrived in the industry across the board. One reason for this is certainly a lack of understanding and expertise. The practical course is designed to address this challenge. The practical course will consist of two elements. A theory part and a practical part. In the first part, the students will be taught the basics of DZ, as well as the theoretical knowledge that is necessary to be able to work on the later practical project tasks. Topics will be among others: - What is data-driven product development? What are trends in technical product development? - What is a digital model? - What is a Digital Thread? - What is a Digital Shadow? - What is a Digital Twin? - Methodology for developing a Digital Twin - What might a Digital Twin look like? For the practical part, students will be divided into interdisciplinary teams. The module is aimed in particular at mechanical engineers, industrial engineers and computer scientists, as these are usually the skills required for DT projects in industry. Based on an exemplary use case of a bottling plant, these interdisciplinary teams will then develop a DT In this way, the students will get to know the ways of thinking, challenges and needs of the other disciplines. This is essential in order to be able to resolve any conflicts of objectives that may arise. The assignment is deliberately kept relatively open in order to support proactive and self-directed learning. At the end of the practical course, the teams will present their solutions to each other. In addition, you will reflect on your approaches and project structures.

Basic knowledge of IoT, I4.0, Digital Twin is helpful but not required Programming experience helpful

The module will take the form of a practical course. The practical course will consist of a theoretical and a practical part. In the theoretical part, PowerPoint presentations will be used to explain the basics of digital twins. In open discussion rounds the contents will be reflected and consolidated. In the practical part, the fundamentals taught are applied and tried out on a concrete example. For this purpose, the students are divided into interdisciplinary teams. The module is aimed in particular at mechanical engineers, industrial engineers and computer scientists, as these are usually the skills required for DT projects in industry. The participants conceptualize and implement a module of a digital twin and can thus apply what they have learned directly to a practical example. In this way, they learn basic characteristics, terminology and technologies, as well as the challenges practitioners face in such projects and how to overcome them. Through teamwork, students learn about the ways of thinking, challenges and needs of other disciplines. The tasks are deliberately kept relatively open in order to support proactive and self-directed learning. The teams will present their results to each other. In addition, they will reflect on their approaches and project structures. In this way, they will learn to present their complex content precisely and clearly, while at the same time appearing convincingly and professionally with rhetorical confidence.

By means of a project work (incl. final presentation), it is examined to what extent the students are able to independently design and process the learned theoretical concepts of a digital twin in the context of complex questions using a training system with selected software in an interdisciplinary team. Subsequently, a presentation (approx. 15 min) will demonstrate whether the students have understood the basics of digital twins and are able to put them into practice in a meaningful way. In addition, they further demonstrate that they are aware of the basic flow of such implementation processes. Students demonstrate that they are able to present their complex content in a precise and clear manner, while at the same time presenting themselves convincingly and professionally with rhetorical confidence. In addition to the presentation with 50%, the individual phases of the project work (problem definition, criteria development, decision, implementation) are assessed with a total of 50%.

Schweigert-Recksiek, S.; Trauer, J.; Engel, C.; Spreitzer, K.; Zimmermann, M. (2020): CONCEPTION OF A DIGITAL TWIN IN MECHANICAL ENGINEERING – A CASE STUDY IN TECHNICAL PRODUCT DEVELOPMENT. In Proc. Des. Soc.: Des. Conf. 1, pp. 383–392. DOI: 10.1017/dsd.2020.23. Trauer, J.; Mutschler, M.; Mörtl, Markus; Zimmermann, M. (2022): Challenges in implementing Digital Twins - A survey. In Proceedings of the ASME 2022 2022, Article 88786, pp. 1–8. Trauer, J.; Schweigert-Recksiek, S.; Engel, C.; Spreitzer, K.; Zimmermann, M. (2020): WHAT IS A DIGITAL TWIN? – DEFINITIONS AND INSIGHTS FROM AN INDUSTRIAL CASE STUDY IN TECHNICAL PRODUCT DEVELOPMENT. In Proc. Des. Soc.: Des. Conf. 1, pp. 757–766. DOI: 10.1017/dsd.2020.15. Trauer, Jakob; Pfingstl, Simon; Finsterer, Markus; Zimmermann, Markus (2021): Improving Production Efficiency with a Digital Twin Based on Anomaly Detection. In Sustainability 13 (18), p. 10155. DOI: 10.3390/su131810155.