CALL FOR PAPERS COMMITTEES SPEAKERS SUBMISSION REGISTRATION VENUE SCHEDULE HISTORY TOUR CONTACT
 

Submission Deadline: Before September 30, 2017
Acceptance Notification: October 20, 2017
Registration Deadline: Before November 5, 2017
Camera-Ready Paper Submission: November 5, 2017
Conference Date: December 11-13, 2017




Conference Secretary: Yoyo Chow

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Speakers

Keynote Speaker

Professor John P. T. Mo
RMIT University, School of Aerospace, Mechanical and Manufacturing Engineering, Melbourne, Australia

John P. T. Mo is Professor of Manufacturing Engineering and former Head of Manufacturing and Materials Engineering at RMIT University, Australia, since 2007. He has been an active researcher in manufacturing and complex systems for over 35 years and worked for educational and scientific institutions in Hong Kong and Australia. From 1996, John was a Project Manager and Research Team Leader with Australia’s Commonwealth Scientific and Industrial Research Organisation (CSIRO) for 11 years leading a team of 15 research scientists. John has a broad research interest and has received numerous industrial research grants. A few highlights of the projects include: signal diagnostics for plasma cutting machines, ANZAC ship alliance engineering analysis, optimisation of titanium machining for aerospace industry, critical infrastructure protection modelling and analysis, polycrystalline diamond cutting tools on multi-axes CNC machine, system analysis for support of complex engineering systems John obtained his doctorate from Loughborough University, UK and is a Fellow of Institution of Mechanical Engineers (UK) and Institution of Engineers Australia.

Speech Title: Health and Usage Monitoring of Mechanical Systems

Abstract: The complexity of modern mechanical systems has been increasing due to the introduction of new controllers. Predictive control schemes require continuous assessment of the conditions of mechanical equipment to determine if it will operate properly in the next minute or hour. Many system monitoring methods are statistically based, that is, they raise alarms when the performance deviates beyond pre-determined and sometimes broad limits. Health and usage monitoring is primarily based on whether certain operating parameters are within the pre-determined limits or not. However, the problem of statistical methods is that it only provides a rudimentary assessment of the system’s condition based on some operating experience which may not relate to the current situation. Worse still is that detection of symptom may not be timely enough to prevent disaster to happen.

This paper describes an approach in which mechanical systems are analysed on the basis of recognising normal behaviours, thereby providing a means of synthesising their abnormal behaviours. This technique has the advantage that instead of trying to develop a full theoretical model of the mechanical system, it assesses the system’s condition based on a whole range of performance signal patterns. The outcome can be easily implemented online in real time operations so that appropriate remedial actions can be taken in time to correct errors. Examples of how the technique works on complex mechanical systems and processes are given in this paper.
 

Professor Dan A Allwoodallwood
Department of Materials Science and Engineering, The University of Sheffield, UK

Dan Allwood was awarded an EPSRC Advanced Research Fellowship in 2004 and in 2005 joined the Sheffield Centre for Advanced Magnetic Materials and Devices in the Department of Materials Science and Engineering. His BSc (1994) and PhD (1998) in Applied Physics were awarded from the University of Hull. He also worked as a post-doctoral research assistant in University of Oxford, Department of Physics, 1997-1999; Imperial College London, Department of Chemistry, 1999-2001; Durham University, Department of Physics, 2001-2005.

Dan Allwood's research focuses on the understanding, analysis and application of magnetisation processes in magnetic thin films and nanostructures. A particular area of expertise is in domain wall processes in patterned magnetic nanowires. The extended geometry of these wires creates a simplified magnetic environment in which domain walls can be positioned. These nanowire systems have applications in information technology (memory and data processing) and in controlling secondary systems (e.g. magnetic beads or ultra-cold atoms).

Prof. Allwood has developed 2-D magnetic nanowire networks for controlling magnetic domain wall propagation and creating new ways of performing memory and logic operations. More recently, he has introduced a hybrid multi-ferroic system for controlling domain wall position using applied stress that is suitable for synchronous memories. Dr Allwood has developed a high sensitivity magneto-optical Kerr effect (MOKE) instrument for analysing individual nanostructures and optical methods for improving the MOKE response. Dr Allwood’s work on using domain walls in nanowires as nanoscale sources of magnetic field has resulted in demonstrations of interactions with other domain walls, magnetically labelled biological cells and sub-milliKelvin paramagnetic atoms.

The magnetic films works on are deposited on atomically-flat substrates using thermal evaporation or sputter deposition. Nanostructures are patterned either by electron-beam lithography or focussed ion beam milling. Topographic imaging of the structures usually requires either atomic force or scanning electron microscopies. Dr Allwood´s experimental research often uses the MOKE technique to analyse the magnetic response of nanostructures and films, magnetically-resolving soft X-ray microscopy (with Dr Peter Fischer of the Centre for X-ray Optics) and micromagnetic finite element modelling.

Plenary Speaker


Assoc. Prof. Samer Alfayad
UVSQ , Paris-Saclay University 10-12 Avenue de lEurope, 78140 V´elizy, France

Samer Alfayad received his master diploma in sciences and technology from Ecole Nationale Supérieure d’Arts et Métiers (ENSAM-Paris) in 2005. His Ph.d was received in Robotic development from Versailles University (UVSQ) in 2009. Awarded of the best Ph.D. Thesis in Robotics for year 2010 by the French CNRS. Awarded of the best Ph.D. Thesis in Robotics for the 20 years anniversary of UVSQ. From 2010 to 2011 he was a Post-doc researcher at Technische Universitat Munich (TUM-Germany) with a Scholarship from the Alexander Von Humboldt foundation. From 2000 to 2004, he was a lecturer at the High Institute for Applied Science and Technologies. In 2011 he has been appointed as Associated Professor in Humanoid robotic design at Versailles University. From 2012, he holds an industrial excellence chair about hydraulic domestication at UVSQ. He has been investigator in several French National projects. He is the leader of the hydraulic activity in the Humanoid research group at LISV laboratory. He is working currently on the two anthropomorphic biped robots called HYDROïD and ROMEO2 at the LISV. He was the team leader of Paris-Saclay team to Mohamed Bin Zayed International Robotics Challenge MBZIRC2017.

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