PROGRAMME

Transport is essential to the way people, goods and services move across the world. It drives economic growth and mobility. However, transport accounts for around 20% of the world’s green-house gas emissions and is a major contributor to poor air quality. We need to ensure future transport is cleaner, efficient and sustainable. It is also essential that we understand the relative environmental performance of different technologies in the real world. EU and Korea has maintained a good partnership in terms of emission regulations in transportation sector leading World’s utmost environmental standard. Therefore, it is meaningful to prospect what can bring a big technological impact on the green house gas reduction in the future mobility and transportation between the two parties. This session addresses the challenges we face in the development of future transport and provides open discussion on next step for zero emission.

In rescent years, there has been a notable increase in space missions, driven by new space initiatives and large constellation initiatives. Combined with emerging technologies e.g. artificial intelligence, big data processing, advances in remote sensing, navigation and communication, satellite technology enables new application and services with a huge potential to contribute to a more sustainable and responsible development. Thus, the session will address the following topics: - Identification of key technologies, concepts and solutions for the sustainable and responsible use of space - Space solutions, applications and services to tackle environmental challenges - Responsible design practices for orbital sustainability e.g. space debris mitigation, - Responsible and sustainable use of available resources e.g. energy, propellant, frequency

In the future, autonomous technologies and robots will be connected to almost every aspect of our lives. Autonomous technology is not just about self-driving cars, robots and drones but also included in applications such as predictive engine maintenance, automated trading, or medical image interpretation. In this session, topics from aeronautics and general mechanical disciplines together with contributions from structural design, sensors, operation, and manufacturing technology are discussed at the intersection of future sustainable aviation and advances through autonomous system development.

Numerical simulation has been widely utilized to solve scientific and engineering problems such as in solid mechanics, fluid dynamics, multi-body dynamics, biomechanics, etc. Its accuracy, efficiency, and applicability are continuously being improved by advancing the computing power and numerical methods such as finite element method (FEM), finite difference method (FDM,) and boundary element method (BEM), and so on. Nowadays, very complicated problems are being solved such as crash, fluid-solid interaction, pluridisciplinary problems. High-tech systems become more and more complex and the need to couple different processes of life cycle (design, manufacturing, recycling) to reduce product cost. In this challenge, the digital twin is a promising concept for system optimization and behavior prediction, which is a detailed digital representation accurately reflecting existing physical systems. To realize digital twins, the role of numerical simulation is significant. It needs to be conducted accurately and efficiently by fitting with real-time sensor data in the collaboration of machine learning (Ml) and internet of things (IoT) technologies. Therefore, it is clear that advances in numerical simulation are required towards multi-physics-multi-scale simulations, and its significance will increase more and more. Consequently, the digital twins will be the ultimate solution for the life cycle management of complex physical systems, improving sustainability. In this session, the following topics are expected with applications of 1) Multidisciplinary analysis and optimization involving the interaction of different fields, for example, fluid mechanics, solid mechanics, and thermodynamics. 2) Advanced analytics, including uncertain quantifications, statistical analysis, machine learning and data mining. 3) Conceptual modeling and motional prediction of complex products including aerospace, automotive, satellites, and so on. 4) Systematic modeling and simulation of the manufacturing process, virtual testing process, vehicle motion in traffic flow, etc. 5) Pros and Cons of Commercial code versus open source codes 6) Challenges and Limitations of current numerical methods. From this session, it is expected that the latest status of the numerical simulation method and its application to various applications will be discussed with engineers and scientists working in mechanical, aerospace, and nuclear engineering. Also, sharing application examples to innovative and future products will be welcome.