Digital twins in Manufacturing

– applications in collaborative robots and smart manufacturing

8 & 10 February 2022

Online via MS Teams

Digital twins and artificial intelligence are driving the next wave of smart manufacturing. The vision is to make products as well as their production systems intelligent and adaptable. As the concept of digital twins is evolving, it is fading out the divide between physical and virtual worlds. Manufacturing is transiting from unplanned failures to failure prognostics that will remove problems before they occur. Digital twins can support the applications of collaborative robots, additive manufacturing, XR based user interfaces, and system simulations to leverage the next level of manufacturing flexibility and speed.

This international online seminar addresses the scope of Digital Twins for Smart Manufacturing. The seminar will present recent developments, applications and use cases of digital twins in product engineering, additive manufacturing, simulations and robotics both from academia and industry.

8 February 2022

13:00 - 13:05
Welcome and introduction by Anne-Lise Høg Lejre, Executive Vice President, Danish Technological Institute
13:05 - 13:40
Digital Twins for Smart Manufacturing: Where do we stand now?

Nabil Anwer, Professor, Deputy Director, Automated Production Research Laboratory, Paris-Saclay University

Digital Twin, as a promising framework to address the integration between the cyber and physical in manufacturing, is gaining increasing attention from both academics and industry. Through high-fidelity models and real-time data from sensors, Digital Twins can project physical assets or processes into the digital world to reflect the whole lifecycle process of the corresponding counterpart while maintaining convergence, co-evolution, and symbiosis of physical and digital assets.

This talk will highlight recent advances developed in our laboratory to address Digital Twins for Smart Manufacturing. Applications in Product Engineering, Additive Manufacturing and Robotics will be presented to illustrate our research findings.

Nabil Anwer is professor at Paris-Saclay University and the deputy director of Automated Production Research Laboratory. He is member of the International Academy of Production Engineering (CIRP) and serves as the secretary of the Scientific and Technical Committee Design (STC Dn). He has special research interests in Digital Twin, Tolerancing and Assembly, Quality Control for Additive Manufacturing, and dimensional metrology. He is an associate editor of ASME Journal of Computing and Information Science in Engineering, and member of the advisory board of Digital Twin open access publishing platform.
13:40 - 14:15
Making collaborative robots safe and adaptable through digital twins

Ali Ahmad Malik, Expert on Robots & Automation, Siemens Gamesa

Simulation based digital twins are becoming increasingly important for a flexible, fast and safe integration of cobots. A digital twin can create insights into the operational behavior and make optimizations to a cobot system quickly and safely. While maintaining a digital twin throughout the life cycle of cobot systems can also be useful for fast and trustable validation of any future modifications, thus making them truly adaptable. Human interface with digital twins will also be presented during the talk.

Ali Ahmad Malik works as an Expert for Robotics and Automation at Siemens Gamesa Renewable Energy, Denmark. Ali received his PhD from the University of Southern Denmark in digital twins in collaborative robot applications. Ali is active in the research of digital twins for smart production systems, and his articles have been published in Science Robotics, Journal of Computer Integrated Manufacturing, CIRP Annals, World Economic Forum and other outlets.
14:15 - 14:30
14:30 - 15:05
Digital Twins for pushing the limits of today’s robotic applications

Christian Schlette, Professor, Vice Section Head, SDU Robotics, The Mærsk Mc-Kinney Møller Institute

SDU Robotics have developed a Digital Twin (DT) methodology based on the perspective that DTs need to be the central interfaces between robotic technologies and any digital methods for planning and control. The DT methodology started with addressing the gap between collaborative robots (“safe to use/low payloads”) and conventional industrial robots (“high payloads/unsafe to use”). In the work with industrial partners such as LEGO and KUKA on DT-based solutions which allow constant monitoring and analyze robotic systems in order to establish safe human-robot interactions – even with industrial robots. In other examples, simplified DTs have been used to analyze the potential of deploying collaborative robots for SMEs and then quickly scale the analysis to controlling actual robot installations. The advantages of the DT methodology are particularly visible when leaving the highly controlled environments of factory automation. By extending the DT concept to represent also production environments, DTs have enabled entering of novel robotic applications on construction sites and on shipyards in several ongoing projects.

Christian Schlette received his Dipl.-Ing. in Electrical Engineering from the University of Dortmund, Germany in 2002 and joined the Robotics Research Institute (IRF) in Dortmund as research associate to develop control approaches for industrial multi-robot systems. In 2006, he joined the foundation of the Institute for Man-Machine Interaction (MMI) at RWTH Aachen University, Germany as principal investigator and received his doctorate summa cum laude (Dr.-Ing.) from RWTH Aachen University in 2012. For his thesis, he was awarded the “Borchers medal”. In 2017, he joined SDU Robotics as Associate Professor at the Mærsk Mc-Kinney Møller Institute (MMMI) at the University of Southern Denmark (SDU). In 2018, he was appointed to take the position of Professor at SDU Robotics.
15:05 - 15:40
Possibilities with digital models, digital shadows and digital twins for Cyber-Physical Systems

Peter Gorm Larsen, Head of Section, Aarhus University

Aarhus University Centre for Digital Twins are currently involved in 12 research projects which are externally funded from many different agencies including Horizon 2020, Innovation Foundation Denmark, the Independent Research Fund Denmark and public authorities. The full budget for partners in total is close to one billion Danish Crowns and the AU budget is more than 80 million Danish crowns. This goes all the way from basic research over applied research to innovation together with different companies from all over Europe (more than 120 companies in total).

The presentation will provide an overview of how digital twins can be used in many different application domains (including agriculture, civil engineering and manufacturing). This presentation will also illustrate the limitations and possibilities with digital twins at different levels of ambition.

Peter Gorm Larsen is both head of section and professor in the Department of Electrical and Computer Engineering at Aarhus University, where he also leads the Cyber-Physical Systems research group as well as the Centre for Digitalisation, Big Data, and Data Analytics (DIGIT) and the AU Centre for Digital Twins. He worked 17 years in industry before returning to academia in 2005.
15:40 - 15:45
End of day

10 February 2022

13:00 - 13:05
13:05 - 13:40
High-fidelity digital twins of industrial robots

Emil Madsen, Postdoc, Aarhus University

Industrial robots are used extensively in today’s society. In many applications, it is important to have some kind of real-time sanity checking during operation.

For instance, if the robot performs some task, do the currents of its electric actuators correspond to what we expect? If not, did we hit a human coworker? Alternatively, did the friction of the gear transmission slowly change from the expected value? If a change in friction did take place, was it due to temperature changes affecting the lubricant of the transmission or is it due to the gear being worn out? To be able to answer these questions, we must have a digital twin that accurately resembles the industrial robot.

Thus, in this presentation, Emil Madsen will explain how to obtain a high-fidelity digital twin of an industrial robot.

Emil Madsen received his BSc and MSc in Mechanical Engineering from Aarhus University and received his PhD from Aarhus University in 2020 after working with the company Universal Robots on mathematical modeling and adaptive control of collaborative robots. Emil Madsen is now with the Department of Electrical and Computer Engineering at Aarhus University as a Postdoc, where he leads the development of Aarhus University Robotics Toolbox (AURT), a software released to ease the process of obtaining high-fidelity digital twins of robotics systems.
13:40 - 14:15
Simulation and physics driven digital twins

Svend Skovgaard Petersen, Project Manager, Force Technology

Unique and innovative possibilities are emerging when combining simulations and real time data in digital twins. During this presentation, FORCE Technology will give an introduction to the concept of simulation and physics driven digital twins. Here you can find out how to leverage insight and information from high fidelity simulations, e.g. developed in the design phase, on assets in operation. The approach opens among others for running what-if-scenarios based on physics and simulations and doing predictive maintenance.

Svend Skovgaard Petersen is a mechanical engineer specialized within fluid mechanics, simulation specialist and project manager at the department of Thermal energy and industrial processes, at FORCE Technology. Svend has during his 10 years at FORCE Technology helped clients with simulation of fluids within industrial processes, clean tech, food, pharma and power plants and is currently project manager of several innovation projects within Digital Twins.
14:15 - 14:30
14:30 - 15:05
Digital Twin of a slaughter line with real-time communication

Dennis Brandborg Nielsen, Head of Section Analysis in the Centre for Sustainability and Digitisation, Danish Technological Institute

The Danish Technological Institute has developed a true Digital Twin (DT) of a slaughter line with real-time communication between the physical and the virtual world. How can a 3D model of a slaughter line with virtual objects of both products and machines help to obtain a more sustainable food production? What are the potential benefits of having a DT model to run in parallel with the actual slaughter line? The next step we are looking into is how to visualize different types of data from different data domains. What is the value of continuous monitoring and diagnosing data using artificial intelligence to visualize errors in the DT?

Dennis Brandborg Nielsen is the Head of Section for Data Analysis in the Centre for Sustainability and Digitisation at the Danish Technological Institute. The Danish Technological Institute develops digitisation solutions for sustainable food production.
15:05 - 15:40
Digital Twins - Driving 21st Century Manufacturing

Dr. Michael Grieves, Executive Director, Digital Twin Institute, Florida Institute of Technology

The Digital Twin (DT) model will drive 21st century manufacturing by dramatically improving both efficiency and effectiveness. DT information will replace wasting resources and make Lean Manufacturing a reality. As DTs advance, manufacturing will move from unplanned failures to failure prognostics that will remove problems before they occur. This manufacturing evolution not only requires technology advances, but will also requires cultural changes. As the originator of the DT concept, Dr. Grieves is uniquely positioned to give his perspective on 21st century manufacturing.

Dr. Michael Grieves is an internationally renowned expert who originated the Digital Twin concept as the underlying framework of Product Lifecycle Management (PLM). His focus is on virtual product development, engineering, systems engineering and complex systems, manufacturing, especially additive manufacturing, and operational sustainment. Dr. Grieves has written the seminal books on PLM and the seminal chapters on Digital Twins. In addition to his academic credentials, Dr. Grieves has over four decades of extensive executive and deep technical experience in both global and entrepreneurial technology and manufacturing companies.
15:40 - 15:50
Closing remarks

Digital Twins in Manufacturing

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Registration fee

 DKK 1,895  Members of ATV-SEMAPP and promoting partners listed in the registration form
 DKK 2,300  Non-members
 DKK 450  PhD Students
 DKK 200  BSc and MSc students (Membership is free of charge – register here.)

All prices are excluded of Danish VAT 25 %.

Early bird discount of DKK 300 when registering before 10 January 2022. This discount does not apply for BSc, MSc and PhD students.

Binding registration
Registration is binding, however substitutions are accepted at any time.

Please do not hesitate to contact ATV-SEMAPP by e-mailing