HPC Symposium 2017


Programme

0830 Registration


0910 Welcome Address

Prof Alfred Huan
Executive Director, Institute of High Performance Computing (IHPC)
Agency for Science, Technology and Research (A*STAR)

0915 Guest-of-Honour Speech

Prof Tan Sze Wee
Executive Director, Science & Engineering Council (SERC)
Agency for Science, Technology and Research (A*STAR)

0920 R&T Perspective - Power Generation (Manufacturing Technology Strategy)

Speaker:
Mr Teo Wee Kin
Chief of Manufacturing Technology
Rolls-Royce Singapore

 

Abstract:
Continuous improvement in manufacturing process of the aero and marine engines components has been a challenge due to the complexity in design to meet demanding product performance. The focus on R&D is paramount to maintain its competitive edge both on cost and product quality. 


About the Speaker:

Kin Teo joined the Rolls-Royce in 2010 from the Advanced Manufacturing Research Centre (AMRC) with Boeing based in Sheffield, United Kingdom. He started off as a research engineer and progressed to the post of a project manager serving the centre for  ten years. His main R&D focus on the Aerospace Supply Chain (eg. Rolls Royce plc, The Boeing Company, General Electric,  BAe System and Messier Dowty) and assist them to be competitive in the world market with respect to various manufacturing process improvement.

During his career in the Rolls-Royce, he started off as the team leader leading the Mechanised & Advanced finishing Team for the Business. From the last quarter of 2012, he was promoted to lead the Manufacturing Technology - Singapore & Asia consisting of 5 sub-teams with the focus on Surface Modification, Additive Layer Manufacturing and Digital Manufacturing technologies. The main aim of this department is to ensure technology transfer of the development project onto the production floor so as to achieve cost reduction and quality improvement of the power generation components. He was awarded the winner for E&T Engineering Excellence for Creativity 2014 by the Rolls-Royce plc.

In 1998, Kin Teo graduated from the University of Sheffield with  Bachelor of Engineering in mechanical enigeering with First Class Honours. Following in 1999, Kin Teo graduated with Master of Science (Research) in Materials, Structures and Systems Engineering.

0950 Advancing Frontiers in Digital Manufacturing & Design

Speaker:
Dr Lim Keng Hui
Director, SUTD Digital DManD and NAMIC@SUTD
Singapore University of Technology and Design

Abstract:
This talk will describe advances in digital manufacturing research at the Digital Manufacturing and Design Centre (DManD) at SUTD, where our mission is to create frontiers in design and manufacturing enabled by the digital thread that integrates the product development and manufacturing value chain. DManD brings together multiple disciplines in computational and industrial engineering, material sciences, technology-intensive design and architecture to create knowledge and technologies for new product innovation. In this talk, I will describe our research to develop computational simulation and design capabilities to enable designers to exploit new design windows enabled by digital manufacturing technologies to create new generations of previously unobtainable products. I will also describe our efforts to create innovative manufacturing technologies based on the digital fusion of sensing, hybrid fabrication processes, as well as new advances in multimaterial and multifunctional 3D and 4D printing.
 

About the Speaker:
Dr Lim Keng Hui is the Director of the SUTD Digital Manufacturing & Design Centre (DManD), and the Director of the National Additive Manufacturing Innovation Cluster (NAMIC@SUTD). Before joining SUTD, he was the Deputy Executive Director of the A*STAR National Metrology Centre (NMC), and the Director of the A*STAR Engineering Cluster where he managed large scale strategic research initiatives; he had started and managed research programs in Future of Manufacturing (robotics, additive manufacturing, manufacturing-IT, remanufacturing, marine & offshore engineering) that involve public-private partnerships, as well as programs in Urban Systems and Medical Technologies. Before A*STAR, Dr Lim was the CTO of 2 Med-Tech startups in medical robotics and imaging in the US and Singapore; Head of Product Development at an industrial automation company; and research scientist at the Singapore National University Hospital and the Massachusetts General Hospital in Boston. He has consulted for companies, and served on national-level committees in advanced manufacturing, innovation-based productivity, robotics and urban solutions, as well as Standards committees in biomedical and additive manufacturing. Dr Lim was a recipient of the Innovator’s Award from the Prime Minister’s Office for his work on Med-Tech. He received his degrees from Imperial College, MIT and NUS.

1010 Leveraging High Performance Computing for Model Factory @ ARTC: Factory of the Future

Speaker:
Mr Stuart Wong Sow Long
Senior Group Manager and Programme Manager, Factory of the Future
Advanced Remanufacturing and Technology Centre, A*STAR

Abstract:
Advanced Manufacturing will require application of several disruptive technologies to be more efficient, agile and intelligent. This talk will cover the type of disruptive technologies that Advanced Remanufacturing and Manufacturing Technology Centre (ARTC), Factory of the Future programme will be applying in the test bed. It will describe how High Performance Computing (HPC) will play a significant part and contribution to each of these technologies. HPC, along with the expansion of IIoT (Industrial Internet of Things) in manufacturing, has created a new era in Advanced Manufacturing.

About the Speaker:
Mr Stuart Wong is Senior Group Manager at ARTC and Programme Manager for A*STAR Model Factory@ARTC, Factory of the Future programme, that involves ARTC and other A*STAR research institute. Graduated from University of Glasgow, UK, with Bachelor of Engineering (B.Eng) with Honours of the First Class in Mechanical Engineering, Stuart started his career in automation, systems and product engineering. His career progressed into engineering and project management and has held senior positions such as the Director of Applications Engineering and General Manager for several technology companies that provide automated solutions to industries. He has worked for Apple, HP, FROG Navigation Systems, ATS, Integral Systems and Mikron Automation.

1030 Wireless Energy Transfer in Future Manufacturing Facilities

Speaker:
Dr Yeoh Wai Siang
Scientist, Electronics and Photonics Department
Institute of High Performance Computing, A*STAR

Abstract:
With the era of digitalization and automation, manufacturing is undergoing transformation from manual to semi-autonomous or fully autonomous. Traditional energy delivery is becoming troublesome and improper due to the high-tech integration and harsh operation environment. Wireless energy transfer technology is the solution.

About the Speaker:
Dr Yeoh Wai Siang obtained the bachelor’s degree in electronic engineering in 2005 and then served as a board design engineer in Intel Malaysia. He then completed his PhD in electrical and computer engineering at RMIT, Melbourne in late 2009. After that, he pursued research career in RMIT and joint IHPC as a research scientist later in 2012. His research covers low profile antenna design, wireless power transmission and powerline monitoring systems.

1050 Tea Break


1120 A Bottoms-Up Approach to Materials Design for Additive Manufacturing

Speaker:
Dr Tan Teck Leong
Scientist, Materials Science & Engineering Department
Institute of High Performance Computing, A*STAR

Abstract:
Fundamental material properties such as phases, structure and stability are key to predicting the behaviour of manufactured products. During advanced processing of complex materials, it is important that microstructural defects that compromise the structural integrity of the products should be eliminated. As I demonstrate, material phase diagrams and interfacial energies are key to accurate prediction of the microstructure of the processed material, which ultimately impacts the product behaviour. Such computational tools are useful for industries to study "what-if" scenarios during their processing and fine-tune their process parameters (e.g. temperature, pressure, time). Often, the simulations are built upon material databases of widely used engineering materials. With advancement in manufacturing techniques such as additive manufacturing, the incorporation of more "advanced" materials into the manufacturing industry should be explored. Materials such as nanoscale materials and composites have showed promising applications but their use in advanced manufacturing technologies are less explored. We show how atomistic simulations (first-principles methods) could be used to accurately extract key properties of advanced materials and build a comprehensive materials database. Using a bottoms-up approach, essential material information such as phase stability could be ported to larger scale simulations for accurate prediction of materials behaviour for advanced manufacturing.

About the Speaker:
Dr. Tan Teck Leong is a researcher in the Institute of High Performance Computing (IHPC), A*STAR. Working in the area of computational materials science, he has developed theoretical models and multi-scale algorithms to design alloy materials and understand their phase-property relationships for applications in the aerospace industry, nanoscale technology and catalysis. He graduated with a Bachelor's Degree in Mechanical Engineering from the National University of Singapore, where he developed interest in the simulation of macroscopic properties of materials. He then seek to understand materials science at the microscopic and atomic level as well and obtained a Ph.D. in Materials Science and Engineering from the University of Illinois Urbana-Champaign in 2011 before joining IHPC.

1140 Accelerating Insertion of Additive Manufacturing into Mainstream Production Lines by Computer Simulation and Modelling

Speaker:
Dr Guglielmo Vastola
Scientist, Engineering Mechanics Department
Institute of High Performance Computing, A*STAR

Abstract:

One of the main bottlenecks for insertion of additive manufacturing in industrial production lines is the sensitivity of the process, namely, the fact that small changes in process parameters can greatly affect the final part quality. Physics-based computer simulations can address this issue. The role of process parameters in influencing phase transitions, microstructure evolution, and residual stress will be shown.


Additive manufacturing (AM), also known as 3D printing, is the process of joining materials to make objects from three-dimensional model data, usually layer upon layer. Using AM, manufacturing of complex parts is simple and economically attractive. However, the AM process may distort the part, or produce non-optimal mechanical properties. To understand and predict the effect of the manufacturing process, computer simulations are useful and economically attractive. For example, simulations can show if the part will meet the specifications in terms of distortion, residual stress, or surface finish, at a fraction of the cost of actually manufacturing the part. This can be advantageous for companies, for example when they need to know if AM can help their business before committing to the actual investment in equipment. In this talk, an overview of AM modeling capabilities is given, with focus on how these capabilities can support companies to harness additive manufacturing and reap its benefits.

About the Speaker:
Dr. Guglielmo Vastola has been working on modeling and simulations of additive manufacturing for more than three years, with focus on industrial applications of metal and plastic 3D printing. He has authored five publications, and two technology disclosures on the matter and he is working in close collaboration with the A*STAR Aerospace Consortium Program, A*STAR SIMTech, and A*STAR ARTC. Dr. Vastola holds a degree in Physics from the University of Pavia (Italy), and a PhD in computational materials science from the University of Milano-Bicocca (Italy).

1200 An Immersed Boundary Method for Simulations of Biological Cells in Micro-Fluidic Devices Design

Speaker:
Dr Le Duc Vinh
Capability Group Manager and Senior Scientist, Fluid Dynamics Department
Institute of High Performance Computing, A*STAR

Abstract:

Modelling and simulations of moving rigid bodies and deformable boundaries are essential in many engineering applications including oil & gas, micro-fluidics  and biomedical engineering. Traditional mesh moving techniques for this class of problems encounter issues of mesh quality degeneration and mesh validity. Immersed boundary approach has been a prominent alternative for large motion and deformation problems. We present a moving-least-square immersed boundary method for solving viscous incompressible flow involving deformable and rigid boundaries on a uniform Cartesian grid. The method handles the fluid motion, the deformable interface motion and the interaction with the immersed rigid boundaries simultaneously in order to account for the complex interaction between the fluid and the immersed boundaries. The method finds its application particularly useful in biological fluid dynamics, micro-fluidic devices design or in any other application areas with large boundary deformations and moving boundaries.

About the Speaker:
Dr Le Duc Vinh is a Senior Scientist and Capability Group Manager at the Institute of High Performance Computing, ASTAR. He is highly experienced with numerical simulations for complex multiphase flow and fluid-structure interaction. He has  more than 10 years of experience in developing numerical framework for studying fluid-structure interaction for biomedical applications and micro-fluidic devices for cell manipulation.

1220 A Principled Framework for General Adaptive Social and Manufacturing Robotics

Speaker:
Dr Ho Seng-Beng
Senior Scientist, Social & Cognitive Computing Department
Institute of High Performance Computing, A*STAR

Abstract:
A principled framework for general adaptive intelligent systems is described and applied to the domain of social and manufacturing robotics.  Under the principled framework, we develop computational methods to address an important aspect of a social and manufacturing robot, which is the ability to rapidly adapt to changes in the environment such as the introduction of novel objects and installations that serve novel purposes. Methods are also developed to address another important aspect of a social and manufacturing robot, which is the ability to understand the needs of humans that it interacts with by having a deep model of their needs, which enables the robot to assist humans in various tasks in a socially realistic manner. We describe the methods of causal learning and script learning through computational visual observation that allows a robot to acquire the scripts and plans that enable it to understand the intentions of humans as well as solve problems to provide assistance to humans. Also, a method is proposed to handle competition of needs which arises frequently in the course of robot-human interactions to generate socially realistic and appropriate behavior on the part of the robot.

About the Speaker:
Dr Ho Seng-Beng obtained his Ph.D. in Cognitive Science (AI, Neuroscience, Psychology, and Linguistics) and M.Sc. in Computer Science from the University of Wisconsin, Madison, U.S.A. He has a B.E. in Electronic Engineering from the University of Western Australia. For 11 years, he was President of E-Book Systems Pte Ltd, a company he founded that developed and marketed a novel 3D page-flipping interface for electronic books, with offices in the Silicon Valley, Beijing, Tokyo, Germany, and Singapore. Prior to that, he was a lecturer at the National University of Singapore. Currently he is Senior Scientist at the Institute of High Performance Computing, A*STAR, Singapore. He is the author of a monograph published in June 2016 by Springer International entitled “Principles of Noology: Toward a Theory and Science of Intelligence”. In the book, he presents a principled and fundamental theoretical framework that is critical for building truly general AI systems. He holds 36 U.S. and world-wide patents related to e-book technology.

1240 In-situ Programming of Manufacturing Robots

Speaker:
Dr Martin Saerbeck

Senior Scientist, Computing Science Department
Institute of High Performance Computing, A*STAR

Abstract:

Utilising robots for industrial automation incurs significant overhead in terms of manpower and time required for programming and testing. This talk will introduce our technology for in-situ programming that allows users to program industrial robots through speech and gesture interaction. The goal is to enable current factory workers to program robots with minimal training and overhead. Our technology is able to parse and quantify the input of the user and automatically construct executable code, a job currently done by trained roboticists. Furthermore, we developed a modular middleware that guarantees safe execution. These features make our technology well suited to increase productivity, production quality, and safety for high-mix low-volume production, maintenance and repair tasks.


About the Speaker:
Dr Saerbeck is Senior Scientist and capability group manager within the Computing Science department at the Institute of High Performance Computing. His research focusses on human-machine interaction and interactive system design. In 2009 he received an extra gratification for excellent business results awarded by Philips Research for his work on the popular interface robot iCat. In 2010 he joined IHPC as awardee of the A*STAR Independent Investigatorship, where he started a team focused on human-robot interaction. Among others, Dr. Saerbeck led the development of a novel tutoring robot concept and developed a robot middleware that distinguishes itself by being verifiable on component level. He published several papers related to human-robot interaction in international conferences and journals. Apart from robotics, his research interests include distributed software architectures, machine learning and verification of cyber-physical systems.

1300 Closing Remarks


1305 Lunch and Exhibition at Level 8