? ISFA 2018 / Plenary Speeeches
International Symposium on Flexible Automation
July 15 - 19, 2018 KANAZAWA, JAPAN
Registration Paper Submissions

 Plenary Speech 1

(9:50-10:50  Monday, July, 16)


Future of Machine Tools

Masahiko Mori, DMGMORI Co., Ltd. (Nagoya, Japan)


ABSTRACT

In the manufacturing field where machine tools are used, electrical vehicles, aging, and IoT have been important keywords. Although an automobile has been a byword for a product for mass production, the number of mass production processes to manufacture the same parts will be reduced because the number of components in the powertrain will be significantly reduced due to the transition to electrical vehicles. More and more new materials will be used to reduce the weight of automobiles, which means die and mold production will be demanded instead. In the aging society, the demand for implants and medical equipment will be significantly increased. Furthermore, growing demands from the semiconductor industry in the IoT boom bring momentum to the machine tool industry. The manufacturing style is rapidly changing from mass production of the same parts to high-mix low-volume or custom-design production. On the other hand, lack of experienced engineers has been a serious problem in both developed countries and developing countries. For machine tool manufacturers, providing not only machine tools but also engineering is an important task. Furthermore, promoting automation in high-mix low-volume production is even more important. To tackle those tasks, machine tool manufacturers must work on development of automation technologies for long-time automatic machine operation, improvement of machining accuracy, effective chip disposal and production of machines that never stop. This keynote speech is about effort to achieve these goals by using IoT and sensing technologies and what the machine tool should be in the future.



BIOGRAPHY



Dr. Masahiko Mori

Dr. Masahiko Mori was born in Nara, Japan in 1961. After studying mechanical engineering at Kyoto University, Japan, he worked at ITOCHU Corporation as a salesperson of textile machineries and advanced composite materials for 8 years. Since 1999 when 38 years old, he has been president of Mori Seiki Co. Ltd. He got Dr. Eng degree from the University of Tokyo in 2003. Since 2009 collaboration began with Gildemeister in Germany and in October, 2013, both companies integrated their names to further strengthen the (DMG MORI) brand name. Dr. Mori serves as President / CEO of DMG MORI Group. He also serves as the Vice-President of the Japan Machine Tool Builders Association (JMTBA), fellow of International Academy for Production Engineering (CIRP), Board member of Kyoto University Innovation Capital, specially appointed Professor of the Graduate School of Advanced Leadership Studies, Kyoto University, and council of Japanese-Germany-Centre Berlin.





 Plenary Speech 2

(11:00-12:00  Monday, July, 16)


Automated driving system for the next generation mobility

Yoshihiro Suda, The University of Tokyo, JAPAN


ABSTRACT

Advanced mobility research center, Institute of Industrial Science, The University of Tokyo conducted projects for development and evaluation of automated driving system for sustainable transportation system of next generation. Automated driving is expected to be implemented socially as next-generation mobility. Changing the mobility society may lead to improvement of productivity of Japan, Asian countries, and all of the world. It is important to build a business ecosystem. Development of research on sensing technologies, artificial intelligence, and control engineering for automated driving should be improved. However, more important things is technologies of HMI (Human-Machine-Interface) technologies to establish and consider the social acceptance of automated driving system. Not only driver but also people for transportation around the automated driving vehicle should accept the new system. Moreover, non-technical issuers such as legal and management matters should be considered. In this presentation, recent trends for consideration of ecosystem will be introduced. In Japan, a lot of demonstrated experiments on the public roads are conducted under the newly authorized rules by Japanese government even for driverless operation. Some of the examples will be shown. For future prospects, such as social acceptability considering the impact on users and industry will be presented showing experiments of business model in local community.



BIOGRAPHY



Yoshihiro Suda

Yoshihiro SUDA is Professor of Institute of Industrial Science (IIS). He graduated from The University of Tokyo, Department of Mechanical Engineering in 1982 and got Doctoral Degree in 1987. After working as Associate professor of Hosei University and Guest Associate Professor of Queenfs University at Kingson, Canada, he worked as Professor and Director of Advanced Mobility Research Center and Chiba Experiment of Station of IIS. His research area is dynamics and control engineering, human-machine interface, and their applications to automobile and new generation mobility. He has conducted many industry-academia collaborative projects with automobile and railway industries, and developed many practical outputs such as automated platoon truck system. He is a board member of JSAE, ITS Japan, Railway Technical Research Institute and charged committee member of Japanese Governments. He hosted many international conferences.





 Plenary Speech 3

(9:00-10:00  Tuseday, July, 17)


Multiscale and Multidimensional Quantification and Propagation of Manufacturing Induced Uncertainty

Wei Chen, Northwestern University, USA


ABSTRACT

Integrated Computational Materials Engineering (ICME) hinges on engineering microstructural features into the materials design process where the overarching goal is to search for materials with superior structure-level performance while systematically accounting for various sources of uncertainties, including those introduced by manufacturing processes. Quantification of manufacturing induced uncertainties is significantly challenging since they are multi-dimensional, spread across different length-scales, spatially correlated, and embody different characteristics (e.g., topological vs. property-related). In this talk, we address these challenges by presenting a non-intrusive computational approach for multiscale and multidimensional uncertainty quantification. We introduce the top-down sampling method that allows to model non-stationary and continuous (but not differentiable) spatial variations of uncertainty sources by creating nested random fields. We employ multi-response Gaussian random processes in top-down sampling and leverage sensitivity analyses and supervised learning to address the considerable computational costs of multiscale simulations. Examples with carbon fiber reinforced polymer (CFRP) composites will be used to illustrate the broader impact of the uncertainty quantification methods for reducing the production costs by guiding the manufacturing and quality control processes.



BIOGRAPHY



Wei Chen

Wei Chen is the Wilson-Cook Chair Professor in Engineering Design at Northwestern University. Directing the Integrated DEsign Automation Laboratory (IDEAL- http://ideal.mech.northwestern.edu/), her current research involves issues such as simulation-based design under uncertainty, model validation, stochastic multiscale analysis and design, robust shape and topology optimization, multidisciplinary optimization, consumer choice modeling and enterprise-driven decision-based design. Dr. Chen received her Ph.D. from the Georgia Institute of Technology in 1995. She is currently serving as the Editor of the ASME Journal of Mechanical Design. She served as Chair and a member on the ASME Design Engineering Division (DED) Executive Committee (2009-2015) and was an elected Advisory Board member of the Design Society (2007-2013). She is an Associate Editor of Design Science, a review editor of Structural and Multidisciplinary Optimization, and served twice as an Associate Editor of the ASME Journal of Mechanical Design. In addition, she served as the Associate Editor of SIAM/ASA Journal on Uncertainty Quantification (JUQ) and the Department Editor for the IIE Transactions (2015-2018). Dr. Chen was the recipient of the 2015 ASME Design Automation Award 1996, NSF Faculty Early Career Award, the 1998 American Society of Mechanical Engineers (ASME) Pi Tau Sigma Gold Medal achievement award, the 2006 SAE Ralph R. Teetor Educational award. She is a Fellow of American Society of Mechanical Engineers (ASME) and an Associate Fellow of American Institute of Aeronautics and Astronautics (AIAA)





 Plenary Speech 4

(9:00-10:00  Wednesday, July, 18)


IT Platform for Product and Process Development

Fumihiko Kimura, Professor Emeritus, The University of Tokyo, Japan


ABSTRACT

Recently new technology emerges for innovating design and manufacturing activities. It is well recognized the influences of advanced ICT, IoT, model-based engineering and system engineering. The innovation is generally called as smart manufacturing. Core technology of smart manufacturing is comprehensive digitalization of whole products and processes, which enables completely new system architecture. A manufacturing system becomes a system of systems, which is open and flexible to configure and manage. Traditional engineering chains and supply chains will be re-configured into flexible network configurations. Direct process-to-process communication becomes possible, and enables to realize connected smart products which exhibit new services and value additions to product customers. In these innovations, IT itself cannot create any new systems, but vision and concept for manufacturing come first, and a system is realized by IT. IT platform is an IT system framework for architecting and implementing a target system by utilizing component systems and modules, and will play an important role as a new work space for an industrial ecosystem. This presentation will review recent trends of smart manufacturing, identify core technology and methods for innovations, and discuss the practical approach based on IT platforms. Some examples from industries and national projects will be shown.



BIOGRAPHY



Fumihiko Kimura

Fumihiko Kimura is a professor emeritus, the University of Tokyo. He was a research associate at the Electrotechnical Laboratory of the Ministry of International Trade and Industry from 1974 to 1979. He then moved to the University of Tokyo, and was an associate professor from 1979 to 1987. He was a professor of the University of Tokyo in the department of precision machinery engineering from 1987 to 2009, and retired in 2009. He created his first solid modeling system GEOMAP in his doctoral work in 1974, and he is one of the pioneers in the field of solid modeling and CAD/CAM research. Since then he has been active in the fields of solid modeling, free-form surface modelling and product modelling. His current research interest is in digital engineering and life cycle engineering. These are recently called as smart manufacturing, and the research topics include comprehensive modelling of products and processes for manufacturing automation, modelling and optimization of total product life cycle, sustainable design under various disturbances, and a methodology for evaluation of environmental effects of manufacturing systems. He had been involved in the product model data exchange standardization activities of ISO/TC184/SC4, and is a national representative of ISO/TC184. He is now a co-convenor of ISO/TC184-IEC/TC65 JWG21: smart manufacturing reference model, and a convener of ISO/TC184/SC5/WG10. He is a member of Science Council of Japan, a fellow emeritus of CIRP, and a fellow of JSME and JSPE. He graduated from the department of aeronautics, the University of Tokyo in 1968, and received a Dr. Eng. degree in aeronautics from the University of Tokyo in 1974.

IMPORTANT DATES

  • June 23, 2018
    End of Technical Tour Registration Period!

  • June 14, 2018
    Session Schedule Now Available!

  • May 25, 2018
    End of Early Registration Period!

  • Apr. 1, 2018
    Registrations Open

  • Jan. 31, 2018
    Paper Submission Deadline

  • Jan. 31, 2018
    Notification of short paper selection (separated from long papers)

  • Feb. 21, 2018
    Review Completed

  • Mar. 31, 2018
    Paper Acceptance Notification

  • Apr. 27, 2018
    Camera-ready Manuscript Submission Deadline

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