Keynote Speakers/ 大会主讲人

CMAME2017 Keynote Speakers 

Prof. Dr. Ridha Ben Mrad

 

University of Toronto, Canada (加拿大多伦多大学)

 

Biography: Ridha Ben-Mrad, P.Eng., FCSME, Chief Research Officer and Associate Academic Director of Mitacs (www.mitacs.ca). He is Director of the Mechatronics and Microsystems Group and a Professor in the Department of Mechanical and Industrial Engineering, University of Toronto (www.mie.utoronto.ca). He is also a Co-founder and CTO of Sheba Microsystems Inc. (www.shebamicrosystems.com). He joined the University of Toronto in 1997, having previously held positions at the National Research Council of Canada in Vancouver, BC, and the Ford Research Laboratory in Dearborn, Michigan. R. Ben-Mrad received a PHD in Mechanical Engineering from the University of Michigan, Ann Arbor in 1994. He also received a Bachelor of Science in Mechanical Engineering from Penn State, a Master’s degree in Mechanical Engineering and a Master’s degree in Electrical Engineering both from the University of Michigan, Ann Arbor. R. Ben-Mrad’s research interests are micro-actuators and sensors, MEMS, microfabrication, and development of smart materials based devices. His research led to a number of patents and inventions including 12US, Canadian, European and Chinese patents and more than 160 refereed research publications. He supervised the work of more than 16 PHD students, 38 Master’s students, 14 researchers, 3 Post-Doctoral Fellows, and 64 senior undergraduate students. He received the Faculty Early Career Teaching Award in 2002 and the Connaught Innovation Award in 2013 and in 2014. R. Ben-Mrad currently chairs the IEEE IES Committee on MEMS and Nanotechnology (2015-2016), is Associate Editor of the IEEE Industrial Electronics Tech News (2013-current) and the Journal of Mechatronics (2015-current), serves on the Steering Committee of the IEEE Journal on Micro Electro Mechanical Systems (2010-current) and is a member of the IEEE IES Publication Committee (2013-current). He was the founding Director of the Institute for Robotics and Mechatronics at the University of Toronto (2009-2011) and was Associate Chair of Research of his department (2009-2012).  

 

Speech Title: Micro Actuators and Sensors for Emerging Applications 

 

Abstract: Micro actuators are sought for many emerging applications such as adaptive optics, spatial light modulation, positioning micro lenses for auto focusing/zooming, micromanipulators, vector display and many others. These applications require the manipulation of masses with milligram size and generation of out-of-plane displacement ranging from few to hundreds of micrometers. This is difficult to achieve at the microscale. The talk will be presenting novel micro electrostatic actuators platforms that provide out-of-plane motion leading to a stroke that is orders of magnitude higher than standard micro electrostatic actuators and generating large forces. Different implementations of these micro-actuators are shown and their use for developing a number of applications including 3D micromirrors for vector display and automotive head up display, and autofocus and optical image stabilization in phone cameras. The same micro electrostatic platform is shown to provide for very high sensitivity and very large range sensing capability and is shown through implementations as micro accelerometers and micro force sensors for high performance applications. 

 

 

 

Prof. John Mo

 

Royal Melbourne Institute of Technology, Australia  (墨尔本皇家理工大学)

 

Biography: 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: The art of synthesising mechanical system irregularities and its applications 

 

Abstract: Modern mechanical systems have increasing complexity and sophistication. Predictive control schemes require continuous assessment of the conditions of the manufacturing 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. The pre-determined limits are computed from past history and may not have direct relevance to the actual working principles of the mechanism. Hence, the problem of statistical methods in general is that it may provide only a rudimentary assessment of the system’s condition based on some ad hoc experience which may not relate to the current situation. Worse still is that the computational process can take a long time. As a consequence, the action taken is often not appropriate and unable to cure the cause. The lack of discrimination in this approach often leads to difficulties in maintaining consistent product quality and service delivery.
This paper describes an approach in which mechanical systems are analysed on the basis of recognising normal behaviour, thereby providing a means of synthesising their abnormal behaviour, i.e. irregularities. This technique has the advantage that, instead of comparing simple limits, 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. The approach has a wide range of applications. Examples of how the technique works on complex mechanical systems and processes are given in this paper.  

 

Prof. Ji Wang (王骥 教授)

 

Ningbo University, China  (中国宁波大学)

 

Biography: Professor Ji Wang has been a Qianjiang Fellow of Zhejiang Province at Ningbo University since 2002. Professor Ji Wang is the founding director of the Piezoelectric Device Laboratory, which is a designated Key Laboratory of City of Ningbo. Professor Ji Wang was employed at SaRonix, Menlo Park, CA, as a senior engineer from 2001 to 2002; NetFront Communications, Sunnyvale, CA, as senior engineer and manager from 1999 to 2001; Epson Palo Alto Laboratory, Palo Alto, CA, as Senior Member of Technical Staff from 1995 to 1999. Professor Ji Wang also held visiting positions at Chiba University, University of Nebraska-Lincoln, and Argonne National Laboratory. He received his PhD and Master degrees from Princeton University in 1996 and 1993 and bachelor from Gansu University of Technology in 1983. Professor Wang has been working on acoustic waves in piezoelectric solids for resonator design and analysis in his research with US and Chinese patents and over 120 journal papers. Professor Wang has been a member of many international conference committees and currently serving the IEEE UFFC Technical Program Committees of the Frequency Control and Ultrasonics Symposia, the IEEE MTT-S, and the IEC TC-49. From 2015, Profess Wang is the editor-in-chief of Structural Longevity.  

 

Speech Title: The RUSPEC Measurement of Elastic Constants of Crystal Materials with Vibration Analysis of Samples with the Ritz Method 

 

Abstract: Elastic constants of materials, especially crystal materials with strong anisotropy, are of vital importance in applications and present a great challenge in accurate measurements. The recently matured Resonance Ultrasonic Spectroscopy (RUSPEC) method has been effective in obtaining all elastic constants from one measurement, representing an alternative and reliable technique capable of dealing with this critical problem. There have been earlier research efforts on the RUSPEC technique for the characterization of piezoelectric crystal materials with applications in acoustic device modeling and design. Of course, it is required that there are good initial values of these constants, ideally from existing values for the development of a reliable measurement procedure. In addition, as the nature of the RUSPEC method, vibration analysis of free vibrations of crystal materials of different configurations must be performed to have a set of accurate frequencies for the updating procedure. By extending our previous work on free vibrations of piezoelectric rectangular cuboids, cylinders, and ellipsoids, we now have a full set of samples with different configurations for efficient measurements. The analysis of these samples is based on the expansion of displacements in Chebyshev polynomials that formulated the calculation of vibration frequencies with the Ritz method for anisotropic materials such as quartz crystal. The challenges of such an analysis include the material properties dependent on the angular position in polar coordinates, strong couplings of modes, and dense matrices for eigenvalue extraction, to name a few. From such analyses, it is found that the Chebyshev polynomials are adequate to represent displacements for accurate vibration solutions of configurations we are interested in. The vibration frequencies and mode shapes are obtained from the resulted eigenvalue problem with excellent accuracy. With the full set of analytical tools, the RUSPEC software capability is now extended and the procedure is adequate for material characterization with different samples.  

 

 

 

 

 

Plenary Speaker

Assoc. Prof. JING Xingjian

 

The Hong Kong Polytechnic University (香港理工大学)

 

Biography:Xingjian Jing (M’13, SM’17) received the B.S. degree from Zhejiang University, Hangzhou, China, in 1998, the M.S. degree and PhD degree in Robotics from Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang, China, in 2001 and 2005 respectively. He achieved the PhD degree in nonlinear systems and signal processing from the Department of Automatic Control and Systems Engineering, University of Sheffield, Sheffield, U.K., in 2008.
He is now an Associate Professor with the Department of Mechanical Engineering, the Hong Kong Polytechnic University (PolyU) even since July 2015. Before joining in PolyU as an Assistant Professor in Nov 2009, he was a Research Fellow with the Institute of Sound and Vibration Research, University of Southampton, working on biomedical signal processing. His current research interests include: nonlinear frequency domain methods, nonlinear system identification/control or signal processing, and bio-inspired systems and methods, with applications to vibration isolation or control, robust control, sensor technology, energy harvesting, nonlinear fault diagnosis or information processing, and robotics etc.
Dr Jing is the recipient of a series of academic and professional awards including more recently the 2016 IEEE SMC Andrew P. Sage Best Transactions Paper Award and the 2017 TechConnect World Innovation Award. He is an active reviewer for many known journals and conferences. He currently severs as Technical Editor of IEEE/ASME Trans. on Mechatronics, Associate Editor of Mechanical Systems and Signal Processing, and also as editorial board members of several other international journals. 

 

Speech Title: Nonlinearity in engineering: Theory, methods and applications 

 

Abstract: Nonlinear analysis and design is a hot topic in the area. Employing nonlinearity in engineering applications is an even more challenging but very promising topic in the literature. Nonlinearity can be employed in various vibration control, energy harvesting and structure health monitoring for achieving advantageous performance. This talk will focus on a special X-shaped structure and its superior nonlinear benefits in passive vibration control, energy harvesting systems and others, recently developed in HK PolyU. The X-shaped structure can provide very beneficial nonlinear stiffness and damping characteristics which are exactly needed in various engineering vibration control problems. 

 

 

 

Prof. M. Chandrasekaran

 

Vels University, India

 

Biography: Prof. Dr. Chandrasekaran graduated with a Ph.D from National Institute of Technology, Trichy, India. He is having more than 20 Yrs of Experience in various levels and from Sept 2011 till now he is Professor and Director, Faculty of Mechanical Engineering, Vels University, Chennai. His area of expertise includes Job Shop Scheduling, Optimization, Heuristics. Current research interests include Multi objective optimization of Job Shop Scheduling, Flexible Manufacturing system, Composites and Design optimization of various gear parameters. Has published more than 75 publications that appear in international and local scientific journals. He has also served as Keynote Speaker, Programme Committee Chair, Technical Committee member and session Chair in various international Conferences. He is also an Editor-in-chief for several International Journals like International Journal of Production Technology and Management Research (IJPTMR), International Journal of Mechanical Engineering and Material Sciences (IJMEMS). He is also Editorial board member in USAK University Journal of Material Sciences (UUJMS), Turkey; International Journal of Mechanical Engineering & Technology (IJMET); International Journal of Production Technology and Management (IJPTM); International Journal of Design and Manufacturing Technology (IJDMT) for IAEME. He is an active Reviewer for International Journal of Advanced Manufacturing Technology (IJAMT), Springerlink, International Journal of Production Research (IJPR), Taylor & Francis, International Journal of Information Sciences (IJINS), Elsevier and reviewed more than 150 Research Papers. He is also an Approved Research Supervisor for various leading universities in India. He is also a member in American Society of Mechanical Engineers (ASME), Life Member in Institution of Engineers (MIE), National Institution for Quality and Reliability (MNIQR), Indian Society for Technical Education (MISTE), International Association of Engineers (IAENG) and Indian Institute of Production Engineers (IIPE).  

 

Speech Title: Solving Job Shop Scheduling Problems with Optimization Techniques  

 

Abstract: Scheduling problems are usually solved using optimization techniques to get optimal or near optimal solutions because problems found in practical applications cannot be solved to optimality using reasonable resources in many cases. Scheduling problems vary widely according to specific production tasks but most are NP-hard problems. The job shop problem is the most complicated and typical problem of all kinds of production scheduling problems, the allocation of resources over time to perform a collection of tasks. Job shop scheduling can be stated as follows: given n jobs that have to be processed on m machines in a prescribed order under certain restrictive assumptions. The objective is to decide how to arrange the processing orders and starting times of operations sharing the same machine. In this work, Artificial Immune System (AIS) and Sheep Flocks Heredity Model Algorithm (SFHM) are applied for Job Shop Scheduling Problems with the objective of minimization of Makespan. The results of these two optimization techniques are compared with Tabu Search Shifting Bottleneck approach (TSSB) approach and other literature results. The Performance of proposed two optimization techniques has been evaluated with Job Shop Scheduling Problems.