Prof. Y. LAWRENCE YAO (Keynote Speaker)

Columbia University, USA









Keynote Lecture : Advances in Fatigue and Corrosion Mitigation via Laser Shock Peening

Abstract: Laser shock peening (LSP) is known to impart compressive residual stress to target material and improve its fatigue performance and less known for its potential to mitigate stress corrosion cracking (SCC).  How the material differences of 304 stainless steel, 4140 high strength steel, and 260 brass affect their mitigation potential is explored.  LSP treating of the brass showed no improvement in U-bend tests. Surface chemical effects are addressed via Kelvin Probe Force Microscopy, which is used for finding changes in the work function caused by LSP treatment.  With LSP, there is a potential for over-processing the samples, whereby negative effects to corrosion (grain refinement, martensite formation) can arise.  The role of LSP induced dislocations counteracting the driving force of the martensitic transformation is further explored.  Stainless steel samples are LSP processed and XRD is used to detect martensitic peaks in LSP treated samples.  Transmission electron microscopy is used for determining the resulting structure and dislocation densities, providing a description of how LSP provides mitigation against hydrogen enhanced localized plasticity, by causing tangling and prevention of dislocation movement.  The formation of dislocation cells is attributed with further mitigation benefits.

Biography:Y. Lawrence Yao is Professor of Mechanical Engineering at Columbia University, where he directs the Advanced Manufacturing Laboratory.  Yao served as Chair of Mechanical Engineering Department at Columbia University between 2005 and 2011.  Yao has pioneered research in laser materials processing, including laser assisted removal, shaping, joining, and property modification of various materials, and innovative laser applications in renewable energy, biomedical, and art restoration fields.  Yao received the Milton C. Shaw Manufacturing Research Medal from American Society of Mechanical Engineers (ASME) in 2015 and the Blackall Machine Tool and Gage Award from ASME in 2006. Yao is a Fellow of ASME, SME and Laser Institute of America and currently serves as Editor, Journal of Manufacturing Science and Engineering of ASME.  Yao received Ph.D. from the University of Wisconsin-Madison.


Prof. Dan Zhang (Keynote Speaker)

York University, Canada








Keynote Lecture : Performance Optimization of Parallel Robotic Manipulators

Abstract: Accuracy is one of the most crucial factors which affects the profound laboratory research and extensive industrial application of parallel robotic manipulators. Kinematic calibration is a necessary approach to make the nominal value approximately equivalent to the actual value for the pose of end-effector under different input of actuation variables. Since the error source of parallel manipulator is strong coupling, highly nonlinear, and uncontrollable, the pseudoerror theory is proposed by considering multiple errors, including manufacturing and assembly error, thermal error, and nonlinear stiffness error, as a single hypothetical error source, which only causes the deflection of joint variables. A novel cooperative coevolutionary neural network (CCNN) is designed to establish the complex nonlinear relationship between joint variables and the related deviation with respect to the measured pose of the end-effector. With CCNN, the pseudoerror in arbitrary joint configuration can be obtained, and thus, the control parameters can be adjusted accordingly. The results are validated through the case studies about a parallelogram-based 3-DOF parallel manipulator and a parallel robotic machine tool. This approach is generic and feasible for all types of robotic system.
Since performance improvement is one of the most important factors that greatly affect the application potential of hybrid manipulators in different industry fields, to deeply investigate the comprehensive features, the local/global performance indexes of stiffness, dexterity, and manipulability are mathematically modeled and mapped. A discrete-boundary-searching method is developed to calculate and visualize the workspace. Pareto-based evolutionary multi objective performance optimization is implemented to simultaneously improve the four indexes, and the representative nondominated solutions are listed.


Prof. Andrew Rae (Keynote Speaker)

University of the Highlands and Islands, UK











Keynote Lecture: On the Use of Aerospace Techniques for the Design and Operation of Unconventional Aircraft and their Extension to Renewable Energy Devices

Abstract: This paper will explore how aerospace design techniques, such as initial sizing, multi-disciplinary optimisation, and the determination of stability and control, must be modified when applied to unconventional aeroplanes.  To do so it will use, as a case study, the ultra-long endurance, uninhabited air vehicle ‘Phoenix’ which exploits a variable-buoyancy propulsion system.  This vehicle spends half of its time as a heavier-than-air aeroplane, and the other half as a lighter-than-air balloon, the repeated transition between which provides forward motion, and thus it does not fall neatly into any one conventional Certification Standard.  As a prototype and technology demonstrator it was decided to operate at under 150kg thus requiring certification under a Permit-to-Fly with associated Operating Manual and Safety Case.  However, at low speeds, the aeroplane (without the benefit of contributions from the aerodynamic surfaces) displays a challenging mix of high manoeuvre inertia (a slow response to self-generated forces such as control inputs) and high sensitivity to disturbances (a fast response to externally-generated forces such as gusts)......( Learn More)

Bio: Prof Andrew Rae graduated from Imperial College in 1987 and joined the High-Lift Section of the Aerodynamics Department at the Royal Aircraft Establishment (later DRA, DERA and QinetiQ), Farnborough. His activities there concentrated on the physics of multi-element aerofoils, largely but not exclusively for civil aircraft, including Reynolds-number effects and wake vorticity. Based at the 5m Pressurised Wind Tunnel at Farnborough he was involved in the development and application of wind tunnel corrections and test techniques for low-speed wing design.  He has managed tests at over 30 other major facilities in seven countries and worked on projects for Airbus, Boeing and many Formula 1 teams.....(Learn More)


Prof. Yong Zhao (Keynote Spaker)

Nazarbayev University, Kazakhstan








Keynote Lecture: Wind Turbine Design Optimization: development of a framework and a comparison of two approaches

Abstract: This talk presents a framework for wind turbine (WT) aerodynamic design optimization  (ADO) and the two approaches that we have tested for ADO. The framework is developed by integrating 3D parametric modeling, physics-based optimization schemes, and 3D RANS and 4D URANS simulations. The first approach using the framework is based on the Inverse Blade Element Momentum (IBEM) Theory , 3D RANS single-blade simulation  and 3D parametric modeling to optimize the blade twist angles along the span to exploit the 3D delayed stall effect to maximize lift/drag ratio of the blade; the second approach in the framework is based on 4D URANS model with multi-block grid for whole rotor simulation, 3D parametric modeling, goal driven/gradient based design optimization of the flap angle along the blade to maximize power output.( Read More)

Bio: Dr. Michael Yong Zhao received his PhD and MSc from the University of Manchester, UK on a Sino-British Friendship Scholarship from the PRC/UK governments, and his BEng from Xi'an Jiaotong University, PRC. He has held faculty and admin positions at Nanyang Technological University (NTU), Singapore from 1992-2010 and Alfaisal University, KSA from 2010-2016. Since 2016 he is a professor of Mechanical and Aerospace Engineering at the Nazabayev University in Kazakhstan. His research interests include computational fluid dynamics (CFD) and computational structural dynamics (CSD) and their engineering applications in biomedical engineering, combustion engines and renewable energy systems. (Learn More)


Prof. Huang Weimin (Invited Speaker)

Nanyang Technological University, Singapore










Invited Lecture: Advanced shape memory technology to reshape product design, manufacturing and repairing/recycling: an update of recent development

Abstract: New shape memory materials and phenomena are continuously reported in recent years. The interesting feature of the shape memory effect (SME), which has been found in alloys, polymers, ceramics and hydrogels, is behind all shape memory phenomena, and is different from the shape change effect (SCE) in most of the applications based on traditional materials.
The SME provides us with many new techniques for advanced applications, in which conventional approaches may have difficulties to cope with.
In this talk, a brief review of the various shape memory phenomena in SMMs is presented. The fundamentals behind them are discussed. The important features of the advanced shape memory technology are explained. Typical applications in the whole life cycle of products, from design, fabrication to repairing/recycling, are revealed to demonstrate the potential advantages of this technology.

Bio: Dr Wei Min Huang is currently an Associate Professor (tenured) at the School of Mechanical and Aerospace Engineering, Nanyang Technological University, Singapore. With over 20 years of experience on various shape memory materials (alloy, polymer, composite and hybrid), he has published over 180 papers in journals, such as Materials Today, Accounts of Chemical Research and Advanced Drug Delivery Reviews, and has been invited to review manuscripts from over 200 international journals (including Progress in Polymer Science, Nature Communications, Advanced Materials, and Advanced Functional Material, etc), project proposals from American Chemical Society, Hong Kong Research Grants Council, etc, and book proposals from Springer, CRC and Elsevier. He has published two books (Thin film shape memory alloys – fundamentals and device applications, and Polyurethane shape memory polymers) and is currently on the editorial board of over two dozen of international journals.


               ICMAE PAST SPEAKERS

Prof. Ruxu Du

The Chinese University of Hong Kong, Hong Kong

Prof. Y. Lawrence Yao

Columbia University, USA

Prof. Dan Zhang

York University, Canada

Prof. Yong Zhao

Nazarbayev University, Kazakhstan

Prof. Ian McAndrew Embry Riddle

Aeronautical University, UK

Prof. Matthew Parkinson

Pennsylvania State University, USA

Dr. WONG Chee How

Nanyang Technology University, Singapore

Prof. Cheng Li

The Hong Kong Polytechnic University, Hong Kong

Prof. Christopher Chao

The Hong Kong University of Science and Technology, Hong Kong

Prof. Kyle Jiang

(Keynote Speaker)

University of Birmingham, UK