Day 1 :
Loyola Marymount University, USA
Time : 09:20-09:50
Omar S Es-Said is a Professor in the Mechanical Engineering Department at Loyola Marymount University in LA, California. He was a full Professor from 1998 to present. He received his PhD in Metallurgical Engineering and Materials Science from the University of Kentucky, Lexington in 1985. His current research interests include metallic processing and modeling. He published over 300 papers. He has been an Associate Editor from 2008 to present for the Journal of Materials Engineering and Performance. He received several grants and awards for research funds for a total of over $3.6 million. He was a consultant for the Navy from 1994-2015 and a fellow of the American Society of Materials in 2005.
This paper evaluated the performance and durability of leading structural shading materials to be used in the Super Containerized Living Units (Super-CLU’s) project. Fifteen unique shading fabrics were tested in five different experiments in order to evaluate their strength, resistance to wind, abrasion, and heat and to assess their heat transmissivity and breathability. A current United States Navy material was used as a control material for the evaluation of the other tested materials. Samples of each fabric were first tensile tested in both their warp and weft orientation to create an ‘as-received’ baseline condition. Then, additional samples of each fabric were exposed to wind, abrasion, or heat and subsequently tensile tested to observe the change in tensile strength compared to the ‘as-received’ samples. The heat transmissivity and breathability testing was conducted separately.
University Laval, Canada
Keynote: Integrated forming processes and drop test simulations for a helicopter skid landing gear cross beam
Time : 09:50-10:20
In this work, a new helicopter skid landing gear cross beam is presented. Thanks to a revisited design, this part can be easily fabricated by tube hydroforming. The strength and energy absorption during emergency landing are the same for the new crosstube and for the actual crossbeam, but the new design is lighter. The manufacturing process is also “greener” and more cost-effective than the chemical milling process currently in use. For a better assessment of the structural integrity of the aerospace components, a methodology based on the integrated computational material science and engineering (ICME) technology for the multistage manufacturing processes of a helicopter skid landing gear component is used. Simulations of the manufacturing sequence and drop test are performed in an integrated manner. The tube is first bent, then crushed and hydroformed. After hydroforming, the tube has to be heat treated to bring the material into an artificially aged condition. The final material properties depend on the amount of plastic strain experienced by the material during the forming processes, which varies from one part of the tube to another. This is taken into consideration for the simulations of drop tests and quasi-static loading of the part. Results from the simulations are compared to experimental results for bending, hydroforming, and quasi-static loading. By combining targeted physical testing with advanced materials and process modeling, the product design and manufacturing process can be optimized together at the early stages where cost of design changes is much lower. A better understanding of what happens to the material during the various processes and how to improve them can thus be achieved and the design engineers are enabled to optimize the component while maintaining security margins.
Augustin Gakwaya is a Professor of Computational Mechanics and Computer Aided Design and Engineering in the Department of Mechanical Engineering of the Université Laval for more than 25 years. He also works as graduate program Director for master of aerospace engineering. He is a Mechanical/Aerospace Engineer, specialized in material modeling and non-linear computational coupled thermo-mechanics, optimization of metal forming process (powder metallurgy, deep drawing, forging, extrusion), shell elements for non-linear implicit and explicit FE and meshless (SPH) modeling and technology, evaluation/selection of materials, inverse modeling and identification of material models, integrated forming process modeling and virtual production systems, durability and structural integrity of aerospace composites structures under shock and impact loading. In last five years he successfully lead multi-partners research projects related to: High velocity impact modeling of composites aircraft structures (bird strike, hail impact, ballistic limits), Integrated computational materials engineering for design, process optimization and virtual manufacturing of aerospace components.
Dongguan University of Technology, China
Time : 10:20-10:50
Yun Li is currently a Professor at Dongguan University of Technology, China. He received his PhD in parallel computing and control from University of Strathclyde, UK, in 1990. During 1989 and 1990, he was with UK National Engineering Laboratory, East Kilbride, and Industrial Systems and Control Ltd, Glasgow. He joined the University of Glasgow as Lecturer in 1991 and served as Founding Director of University of Glasgow Singapore during 2011-2013. He developed one of the world’s first 30 EC course in 1995 and the popular online interactive courseware GA Demo in 1997. In 1998, he established and chaired both the IEEE Computer-Aided Control System Design Evolutionary Computation Working Group and the European Network of Excellence in Evolutionary Computing (EvoNet) Workgroup on Systems, Control, and Drives for Industry. He has over 200 publications, one of which is elected by Thomson Reuters to “Research Front in Computer Science”, one to “Research Front in Engineering”, four to “Essential Science Indicators” (ESI), and two have been noted the most popular in IEEE Transactions on Control Systems Technology and the most cited in IEEE Transactions on Systems, Man, and Cybernetics – Part B: Cybernetics since their publications in 2005 and 2009, respectively. He is a Chartered Engineer in UK and is currently an Associated Editor of IEEE Transactions on Evolutionary Computation and Guest Editor of Smart Design, Smart Manufacture and Industry 4.0 Special Issue for Energies.
Smart manufacturing is now more and more associated with Industry 4.0 (i4), which stands for the fourth, and the first a-priori engineered, ‘Industrial (R)evolution’. It refers to the industrial value chain and technological evolution upgrading the factory floor to a be-spoke mass innovation centre. It is associated with the concepts of customized mass production, smart manufacturing, smart factory, autonomous manufacturing, networked embedded systems, cyber-physical systems, industrial internet, and internet of everything. This talk will explore critical insight into the global perspective in relation to artificial intelligence. For Industry 4.0, multi-national companies such as Siemens are already making a leading effort in the vertical integration to network machinery, control systems and sensors together, so that, all the data from the production process can be used to make decisions on manufacturing. Upgrading the entire manufacturing value chain at the dawn of Industry 4.0 has led to a global race in innovation, design, and creativity for smart manufacturing and smart products through life. Through computational intelligence, the talk focuses on how to utilize artificial evolution to achieve manufacturing-ready smart designs with increased innovation and creativity for enhanced competitiveness. The talk will conclude with a summary of challenges, opportunities and future directions presented by Industry 4.0 and how we may best capitalize on them in China-Europe research cooperation.