Introducing Digital Transformation Journey of Doosan to design customer experiences with the best digital talent.
Won-Joon Hyoung is leading Doosan’s groupwide Digital Transformation as a CDO and a CIO. He is also head of Doosan Information & Communications BU.
Dr. Hyoung was highly recognized for his contribution to the spread of Design Thinking in Korea and excellent leadership and business performance while serving as CEO & president of SAP Korea for approximately 10 years since 2008. Prior to joining SAP, Hyoung led successful business innovation of a leading global company, as President of i2 Technologies, Inc., Korea and Greater Asia-Pacific Region, for 5 years.
Chair prof. Jin-Hyung Kim ㅣ Conference 3 Smart Manufacturing Innovation and the Future of the Manufacturing Industry
How does ‘Innovation’ Work in Smart Era?
Date and Place
April 1(Wed.) 2020 | 10:10~10:50 | KINTEX 1, 3F, Grand Ballroom
In the 4th Industrial Revolution, smart technology is more likely to advance in a situation where the machine replaces or help humans. With the accelerating development of artificial intelligence among the technologies, the following deals with how AI can influence the manufacturing and how the innovation of manufacturing can be achieved through this.
- Professor Emeritus, KAIST
- Ph.D., Aritificial Intelligence field in Computer science, UCLA
- Former President, Artificial Intelligence Institute
- Former Director, Software Policy & Research Institute
The digital twin has long since established itself in industry, where it’s revolutionizing processes along the entire value chain. As a virtual representation of a product, production process, or performance, it enables the individual process stages to be seamlessly linked. This creates a consistent improvement in efficiency, minimizes failure rates, shortens development cycles, and opens up new business opportunities: In other words, it creates a lasting competitive edge.
Dieter Klinke is Director Marketing Asia Pacific for Siemens Digital Industry Software. He is 24+ years experiences in the Industry Software business in different positions and countries.
I will be speaking about the role of software in the additive manufacturing process, and how it can help companies take the technology to mass production volumes. The key points of focus will be Simulation, Design and Automation.
Masahiko Mori CEO ㅣ Conference 4 4th Industrial Revolution and Global Manufacturing Innovation
How the Global Manufacturing Corporations are
Innovating in the Era of Fourth Industrial Revolution
Date and Place
April 2 (Thu.) 2020 | 10:10~11:00 | KINTEX 1, 3F, Grand Ballroom
The fourth industrial revolution demands innovation in
manufacturing. The innovation arisen from robot cooperation to the smart factory will foresee a huge change in manufacturing. Then‘HOW’are the global manufacturing corporations coping with this innovation? The following discusses the cases of innovation in the global manufacturing corporations and how we need to deal with it.
- Masahiko Mori CEO
- Japan Machine Tool Builders Association, Vice-President
- Kyoto University Innovation Capital, President
- Graduate School of Advanced Leadership Studies, Kyoto University, Professor
This keynote speech will present the strategic direction of the Smart Manufacturing Innovation based on the digital transformation and will also discuss the application of the digital twin in the context of CPS(cyber physical system).
Present) Distinguished Professor, Korea Univ. / Chairman, Korea ICT Convergence Network / Senior Member, National Academy of Engineering of Korea
Former) SME Minister of Korea / Member, National Economic Advisory Council / Professor, Seoul National Univ. / Managing Director, Office of Strategic R&D Planning & Ministry of Knowledge Economy / President & CEO, Hyundai Autonet / President & CEO, Bontec / Asia Pacific President, GE Thermometrics
Today, we live in an increasingly on-demand world. This transformation is happening in the manufacturing industry. The on-demand manufacturing technology makes personalised products with fast delivery possible. When the tool is damaged, the machine replaces the new tool automatically without interrupting the processing. The dedicated tool management function calculates the accumulated cutting time for each tool to record the total tool usage time and manage the tool lifespan. The function notifies users in advance when it is time to replace the tool based on the tool lifespan and optimises machining conditions for each tool through Hwacheon’s unique machining optimization functions.
Taeweon Gim is a director at Hwacheon Machine Tool, leading new machine and new technology development teams. Currently, Dr Gim is focusing on establishing a differentiating strategy to present the high-value added solutions to customers.
Dr Gim received bachelor’s degree from Seoul National University in 1988 and PhD from Cranfield University in 1998.
Improving the basic properties of machines, especially the accuracy and quality of machined surfaces, increasing machining performance and entire manufacturing processes, reducing parasitic vibrations, or increasing the reliability of machines and processes are among the main objectives of development and application of advanced computing and simulation means application. Virtual machine and process models are an effective means for analyzing, controlling and optimizing machine-tool-workpiece system behavior. The challenge is to achieve optimized process settings and machine control if the machine is unavailable. Examples of application of virtual models for preparation of machining of demanding parts are shown. In the presentation we will show how these solutions contribute to higher reliability of machine and process operation.
Dr. Sulitka is working at Czech Technical University in Prague at Research Center of Manufacturing Technology (RCMT). Main research interest of Dr. Sulitka is focused on virtual modeling of machine tool and machining processes. He has been responsible for the RCMT research program on virtual modeling since 2005 and the main achievement is represented by own virtual machining software system. Other fields of his research intetest include machine tool simulation of dynamic behaviour, structural optimization, effective use of machine tool in machining operations, and smart machine tool solutions.
Dr. Sulitka gained his master degree in 1996 and his Ph.D. in 2003; both at Czech Technical University in Prague. In RCMT he has been responsible for the Group of Simulation, Business and Project Development and currently he is a head of RCMT.
Today's production with customized and specialized machine tools is often unable to achieve this requirement. As a result, autonomous systems that provide more flexible automation and more production freedom, while still maintaining high productivity and robustness regardless of lot size, are needed. Autonomous machine tools have the ability control the production themselves. In addition, the machine tools are able to adapt to unforeseen changes during the process. The basis for this are intelligent components with sensory and actuator capabilities.
Prof. Berend Denkena is Head of the Institute of Production Engineering and Machine Tools at the Leibniz Universität Hannover. After obtaining doctorate at the Faculty of Mechanical Engineering at University of Hannover in 1992, he worked as a design engineer and head of various development groups for Thyssen Production Systems in both Germany and the United States. From 1996 to 2001, he was Head of Engineering and Turning Machine Development at Gildemeister Drehmaschinen in Bielefeld. Since 2001, he has been full professor of Production Engineering and Machine Tools and director of the Institute of Production Engineering and Machine Tools at Leibniz University Hannover.
The aim of digital machining research is to develop mathematical models of metal cutting operations, machine tool vibrations and control. The science-based digital models allow the virtual design, testing, optimization, monitoring and control of machine tools and machining operations. The model predicts the cutting forces, torque and power consumed in machining parts by considering CNC system dynamics, material properties, cutter geometry, structural flexibilities, and cutting conditions along the tool path. The simulation system predicts chatter-free cutting conditions within the work volume of the machine tool or detects the presence of chatter vibrations along the tool path. An in-house developed virtual and real-time CNC system allows the design and analysis of any five-axis machine tool controller. Current research includes digital twin approach, where virtual simulation and real-time machine tool monitoring are integrated to achieve intelligent, self-adjusting smart machine tools.
Professor Altintas worked as a machine tool and manufacturing process development engineer in industry before joining The University of British Columbia in 1986. He conducts research on metal cutting, machine tool vibrations, control and digital machining. He has published about 200 archival journal and 100 conference articles with over 27,300 citations with h index of 87 (Google Scholar), and a widely used “Manufacturing Automation: Principals of Metal Cutting Mechanics, Machine Tool Vibrations and CNC Design. His research laboratory created advanced machining process simulation (CUTPRO), virtual part machining process simulation (MACHPRO) and open-modular 5 axis CNC system (Virtual CNC), which are used by over 300 companies and research centers in the field of machining and machine tools worldwide.
Professor Altintas is the fellow of Royal Society of Canada, CIRP, ASME, SME, CAE, EC, Tokyo University, P&WC, AvH and ISNM. He received Pratt & Whitney Canada’s (P&WC) university partnership (1997), APEG BC’s Meritorious (2002), APEG BC R.H. McLachlan (2010), UBC Killam Teaching Prize (2011), Gold Medal of Engineers Canada (2011), SME Albert M. Sergent Award (2012), NSERC Synergy Award, ASME Blackall best journal paper award, the scientific award of Turkey in Science and Engineering (2013), Georg Schlesinger Production Engineering Award (Berlin, 2016), and ASME William T. Ennor Manufacturing Technology Award (USA, 2016). He holds an Honorary Doctorate Degrees from Stuttgart University (2009) and Budapest University of Technology (2013), and holds Honorary Professor titles from BEIHANG University in Beijing and University Chair Professor from National Chung Hsing University-Taiwan. He was the past president of CIRP (International Academy of Production Engineering Researchers) for term 2016 – 2017. He is designated as the Distinguished University Scholar of Engineering at the University of British Columbia (2017). He currently directs NSERC CANRIMT Machining Research Network across Canada, and holds the NSERC – P&WC – Sandvik Coromant Industrial Research Chair Professorship to develop next generation Digital Machining Twin Technology.
Artificial intelligence (AI) techniques have been successfully applied in various social and consumer applications, such as voice and image recognitions, social media, advertisement, etc. However, AI techniques have seen limited adoption in industry, primarily due to the difficulty in obtaining adequate sets of training data that are required by various machine learning or neural networks. This presentation will discuss the challenges of adopting AI techniques to industrial applications, and propose a concept of industrial AI (augmented intelligence). Furthermore, experienced operators or engineers accumulated significant knowledge or experience over their professional career. The value behind historical maintenance records should also not be overlooked. Additionally, when sensory data and algorithms are combined with the engineering models, human experience or expert knowledge, and historical records, a new paradigm of industrial AI (iAI) becomes a powerful solution to many industrial problems. Selected applications will be presented to demonstrate the value of this new iAI.
Dr. Jun Ni is the Shien-Ming (Sam) Wu Collegiate Professor of Manufacturing Science and Professor of Mechanical Engineering at the University of Michigan, USA. He served as the founding Dean of the University of Michigan – Shanghai Jiao Tong University Joint Institute located in Shanghai, China since 2006.
Professor Ni has been invited to serve as a guest/advisory professor at many institutions, including Shanghai Jiao Tong University, Tsinghua University, Xi’an Jiao Tong University, Huazhong University of Science and Technology, Dalian University of Technology, and 10 other institutions. He served in the International Expert Advisory Board of the Ministry of Science and Technology of PRC to consult for the strategic planning in advanced manufacturing.
Advanced optics must to be fabricated with nanoprecision on surface and profile. In order to achieve this, nanoprecision machine tools and machining processes must be applied to optical fabrication. In recent years, nanoprecision machine tools which are driven at single nanometric resolution have been developed and moreover, higher resolution toward picoprecision is now being started to be studied.
For practical application of nanoprecision machine tools, an advanced desktop machine has newly been developed. This machine has 1nm feed resolution, and can mount diamond milling & turning, and also sophisticated grinding capabilities especially with newly developed ion-shot processing. Variety of micro optics can be fabricated on this machine.
The ion-shot processing can be used both for dressing on nanosurface grinding, and also for surface modification on cutting tools and workpieces enabling direct nanosurface cutting of ferrous materials using diamond tools.
Dr. Hitoshi Ohmori is the Chief Scientist and Director of Materials Fabrication Laboratory of RIKEN. He is also a professor at Graduate School of Saitama University. He got his Bachelor, Master and Doctor degrees of Engineering from Department of Precision Engineering, University of Tokyo in 1986, 1988 and 1991, respectively. He is a Fellow of The International Academy for Precision Engineering (CIRP) and Japan Society of Mechanical Engineering (JSME), and a member of Japan Society of Precision Engineering (JSPE) and Japan Society of Abrasive Technology (JSAT).
He invented the ELID (Electrolytic In-process Dressing) method enabling effective dressing of fine diamond grinding wheels during his doctorate program at the Graduate School, University of Tokyo, and has been working at RIKEN (The Institute of Physical and Chemical Research) as a research scientist, Vice Chief Scientist, and Chief Scientist of Materials Fabrication Laboratory (MFL) in the field of precision machining, particularly mirror surface grinding with ELID invented by him during the master course and related ultra/nanoprecision machining for more than 25 years.
He has been developing specific machining processes to improve surface quality and precision through the application of the ELID technique, and has also conducted analytical research on mirror surface generating mechanism by this grinding technique. He received CIRP F.W.Taylor Medal on this achievement. Through his research activities, he has put these new machining techniques based on the ELID method into practical applications for the processing of electronic, optical, medical, and advanced materials.
He has also been managing projects on the development of ultra/nanoprecision fabrication systems for critical components such as advanced X-ray optical elements, space telescope lenses, sensors, micro-tools, and medical devices. He has provided new achievements and promoted significant development in advanced science and engineering. In recent years, he has eagerly expanding his research fields and interests through working on micro grinding, surface functionalization, and a new cutting process development.