Keynote Lectures

Keynote Lectures
[Keynote 1] (August 26 Monday, 11:30 – 12:30)
‘Multibody Dynamics’ What a Wonderful Word!

Sung-Soo Kim
(Emeritus Professor, Department of Mechatronics Engineering, Chungnam National University, Korea)

Biography Abstract

Biography
2024.3-present: Emeritus Professor, Department of Mechatronics Engineering, Chungnam National University, Korea
1993.3-2023.2: Professor, Department of Mechatronics Engineering, Chungnam National University, Korea
1989.8-1993.2: Adjunct Professor, Department of Mechanical Engineering, University of Iowa, U.S.A.
1988.8-1993.2: Associate researcher, Center for Computer Aided Design, University of Iowa, U.S.A.
Abstract
Multibody system dynamics is a branch of computational mechanics, especially the study of the dynamic behavior of interconnected rigid or flexible bodies. Different from the structural dynamics, each body can undergo large translational and rotational motion. With the advent of the modern computer in the middle of 1960, multibody system dynamics started to grow from simple problems consisting of a few bodies to complicated applications with millions of bodies today. Since the multibody system dynamics stems from computation dynamics, modeling and formalisms are the key ingredients with their solution method such as DAE (Differential Algebraic Equations) solvers. Then, multibody system dynamics has been explored in many different areas, such as flexible multibody dynamics, contact mechanics, bio-mechanics, vehicle dynamics, robotics and mechatronics, real-time dynamics applications, and many-body dynamics with GPU for multibody and fluid interactions.

In order for the field of multibody system dynamics to continue to explore the direction of its development and to be sustainable, it is necessary to understand the history of multibody system dynamics and to gain a comprehension of the activities in the multibody system dynamics society. At the same time, multibody researchers take into consideration how their researches transfer to the education of the multibody system dynamics.

This presentation will provide an overview of the history of multibody system dynamics in conjunction with computational dynamics and commercial software available these days. Also, the activities of the multibody system dynamics society will be discussed, based on the multibody dynamics conferences in which the lecturer has been involved for the past quarter century.
The recent digital twin application of the underwater construction robot will also be sketched as an example of real-time multibody dynamics based on the subsystem synthesis method, and future technical directions for digital twin applications will be discussed. Finally, illustrative examples of education for multibody system dynamics will be presented to motivate students to become future researchers in multibody dynamics.

[Keynote 2] (August 27 Tuesday, 11:30 – 12:30)
Future Perspectives of Multibody System Dynamics

Aki Mikkola
(Professor, Department of Mechanical Engineering, Lappeenranta University of Technology, Finland)

Biography Abstract

Biography
2002–present Professor of Virtual Design, Department of Mechanical Engineering, LUT University
2019–present Visiting Professor, Chongqing University
2000-2002 Visiting Scholar, University of Illinois at Chicago, Chicago, Illinois, USA, (2 years)
1998–2000 Adjunct Professor, Lappeenranta University of Technology, Lappeenranta, Finland
Abstract
Traditionally used to enhance product development processes, multibody system dynamics is now being extended to cover the entire product lifecycle, improving insights into product usage, customer understanding, production, and service-based businesses. This extension is crucial as traditional material-based business processes are increasingly supplemented by models centered on data and knowledge processing. The study illustrates several applications, including multibody system dynamics in gamification, integration with real machines through reality-driven simulation where models are actuated by sensor signals, and the use of artificial intelligence to control models, generating data essential for further AI developments. It also explores biomechanical applications, enhancing understanding of human behavior on assembly lines. This presentation underscores that multibody system dynamics is becoming an indispensable tool across various product processes, signifying its expanding role beyond traditional applications.
[Keynote 3] (August 28 Wednesday, 11:30 – 12:30)
Simulation Driven Innovation in LGE

Sang-Kook Kim
(Research Fellow/Team leader, LG Electronics / Production engineering Research Institute / Virtual Design Team , Korea)

Biography Abstract

Biography
2015~ LGE VPD / R&D DX Committee Task Leader
2017~ Team Leader of Virtual Design Team
2018~ LG Group CAD/CAE Committee Task Leader
2022~ Master Experts in LG Electronics
2024~ Research Fellow in LG Electronics
Abstract
I would like to introduce company-wide Simulation driven Virtual Product Development (VPD) strategies and activities that are being pursued to secure continuous competitiveness and innovate customer value. Some case study examples will be discussed for understanding
[keynote 4] (August 28 Wednesday, 17:00 – 18:00)
The Dynamics and Control of an Autonomous Bicycle System

Caishan Liu
(Professor, College of Engineering, Department of Aeronautics and Astronautics, Peking University, China)

Biography Abstract

Biography
2008-present, Professor, College of Engineering, Peking University
2005.8-2006.7 Visiting Scholar, Australian National University
2008.07-2008.09, Visiting Professor, INRIA Grenoble, France
2011.01-2011.04, Visting Professor, New Mexico State University
Abstract
In this talk, we will introduce a theoretical framework for dynamics modeling and stability analysis of a controlled bicycle. Here, the control laws are served as servo-constraints imposed on the bicycle system, and the tools of geometric mechanics are used to reduce the dimensions of the dynamical equations. Based on the stability analysis, we unveil some important properties inherent in the autonomous bicycle system. Furthermore, we present some experimental results to verify the theoretical findings.