CALL FOR PAPERS TECHNICAL COMMITTEE INVITED SPEAKERS SUBMISSION REGISTRATION VENUE SCHEDULE CONTACT US
 

Submission Deadline: Before December 30, 2016
Registration Deadline: Before January 20, 2017
Final Paper Submission: Before January 20, 2017
Conference Date: February 15-17, 2017
 



 


Conference Secretary: Lindsey C. So
 
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Invited Speakers

Keynote Speaker

Prof. Adrian Olaru
University Politehnica of Bucharest, Romania

Prof. Adrian Olaru finished the University Politehnica of Bucharest, Faculty of Machines and Manufacturing Systems, Romania, in 1974, head of promotion. From 1974 until 1990 he worked as a designing engineer at the "Optica Romana" Enterprise, also being an associate assistant at the Faculty of Machine-Building Technology of the Polytechnic Institute of Bucharest. In 1990 Prof. Adrian became an appointed lecturer at the Faculty of Technological Systems Engineering and Management, the Machine-Tools Department. Now, he is university full professor, and teaches the following courses: Industrial Robots Dynamics, LabVIEW application in modeling and simulation of the dynamic behavior of robots, Technological Transport Systems, Electrohydraulic Servosystems, Analyze and Syntese of Electrohydraulic Servosistems for Industrial Robots, Personal and social robots and Vibration of the virtual prototypes of industrial robots. Prof. Adrian Olaru has published over 160 national and international papers concerning modeling and simulation of hydraulic power system, technological transport systems, electrical and hydraulic servo systems and dynamic behavior of industrial robots. For recent relevant details, see the publication list and the web page. He also has substantial contribution for over than ten technical books. Prof. Adrian Olaru was invited professor of the prestigious universities arround the world and the invited speacker at the different international conferences from Slovakie, France, Italy, China, India, Iran, Poland, Autrich, Rusian Federation, United Arab Emirates, Turkie, Croatie. He was coopted each year in the more than 20 International Technical Committees and like general co-chair from the different international conferences arroun the world: USA, Australy, India, United Arab Emirates, Porto Rico, China, Singapore, Malayesia, Japan, Tayland, Slovaky, Czech Republic.

Speech Title: Virtual LabVIEWTM Instrumentation for Simulation and Optimisation of the Robot Dynamic Behavior

Abstract: In the assisted researching of the dynamic behaviour of industrial robots an important role plays modelling, simulation and optimisation with virtual LabVIEWTM instrumentation. Virtual instrumentation easy provides comparison of theoretical with experimental results and could be established the conditions to adjust and validate the mathematical models. The paper shows numerous virtual instruments and some case study to optimise the vibration and the motion of robots end-effecter in the 3D space, by using the assisted simulation and animation after solving the inverse kinematics by proper methods.

Plenary Speaker

Prof. Bogdan Rosa
Institute of Meteorology and Water Management - National Research Institute, Poland

Bogdan Rosa received his M.Sc. in physics from the University of Warsaw in 2000, followed by the Ph.D. in 2005. The subject matter of his Ph.D. research concerned theoretical and laboratory investigations of the airborne ultra-fast thermometer. This tool provides reliable clear-air and in-cloud temperature measurements with unprecedented spatial resolution, down to a few centimeters. Afterwards, he spent 3 years as a postdoctoral fellow at the University of Delaware, where he was involved in developing computational tools to study collision rates and growth of droplets in atmospheric clouds. This is an important and poorly-understood problem in cloud physics. During the postdoctoral fellow he spent a couple months at National Center for Atmospheric Research. Since 2009, Prof. Rosa is working at the Institute of Meteorology and Water Management - National Research Institute. Apart of modeling of microphysical processes in turbulent clouds his current projects involve adaptation of the numerical model EULAG into a operational weather prediction model (NWP) of the European COSMO consortium. He published close to 30 paper in peer-reviewed atmospheric science journals and more than 100 papers in conference proceedings. He built upon his expertise in atmospheric processes by working with scientists from Germany, Iran, China, USA, Venezuela and Japan. He was the project leader and principal investigator of several international projects, such as adaptation of fluid solver to high-performance computing platforms, NWP with GPU, high resolution DNS. He is reviewer for the following journals: New Journal of Physics, Physics of Fluids, Fluid Dynamics Research, International Journal of Modeling and Optimization.

Speech Title: Dynamics of Inertial Particles in Turbulent Flows

Abstract: In recent years, pseudo-spectral direct numerical simulations (DNS) have emerged as an important research tool for studying statistics, structure, and dynamics of small-scale turbulence and dynamics of suspended inertial particles. Such studies are used to address a number of fundamental questions in applications such as pipeline pneumatic transport, spray combustion, reactions in nuclear systems or warm rain formation. Modeling of these processes is a quite challenging task due to the wide range of scales involved (both spatial and temporal). Interaction of the inertial particles with turbulent flows affects their spatial distribution, the settling velocity, and consequently influences the collision rate.

In this talk the main focus is on the kinematic and dynamic collision statistics of inertial particles relevant to cloud droplets (of radius from 10 to 60μm) in a typical turbulent cloud. Collision–coalescence of cloud droplets is a necessary step for the development of warm rain, namely, the transformation of small cloud droplets into raindrops. Warm rain processes account for about 31% of the total rain fall and 72% of the total rain area in tropics.

The purpose of this study is to quantify the effects of air turbulence on the growth of cloud droplets during warm rain initiation. Turbulence can enhance the rate of collision–coalescence and as such provides a mechanism to overcome the gap between the diffusional growth and the gravitational collision–coalescence mechanism. Several specific issues related to geometric collisions (without droplet–droplet aerodynamic interaction) of the same-size particles will be discussed. These include: the effect of the large-scale forcing mechanisms, the effect of the flow Reynolds number or equivalently the range of flow scales represented in DNS and the role of gravity. A thorough analysis of these effects is necessary for developing better parameterizations for numerical weather prediction models which, in turn, will allow to develop more accurate weather forecasts and deepen our knowledge of the global climate change.
 

Invited Speaker

Prof. Wojciech Grega
AGH University of Science and Technology in Krakow, Poland

Wojciech Grega received his M.Sc. in electrical engineering and Ph.D. and D.Sc. degrees in automatic control from AGH University of Mining and Metallurgy in Krakow. Currently, he is a full professor of AGH in Krakow: digital control, optimisation methods, distributed control and industrial control systems. He as a author and co-author of more than 150 papers and books. He has been the coordinator or main researcher in 19 national and international projects; the vice dean of the Faculty in 1994, the head of the Control Laboratory since 2000, the head of the Faculty Commission for Education from 2001 to 2009. He is a elected member of the European Association for Education in Electrical and Information Engineering; IEEE Society Member; European Union Academic Expert; KIC InnoEnergy Poland+ Educational Director.

Speech Title: On-Line Implementation of Optimization Methods for Industrial Control Systems

Abstract: A large potential for improvement of the manufacturing efficiency and end product quality lies in the implementation of advanced control algorithms as well as optimization algorithms with the configuration presented in the figure (see below). This control system employs several hierarchy levels: At the process optimisation level the quality indices, such as steady state energy consumption, are selected for an optimisation problem.

The goal of this optimization procedure is to drive the operating point towards the actual plant optimum despite of inevitable structural and parametric model mismatch. Its solution are set points for lower level. Multivariable and predictive process control algorithms (MPC) use the operating point specification provided by the optimiser to develop optimal trajectories for multiple input signals. The aim is to achieve optimal time dependent behaviour of multiple outputs delivered to the lower level. PI or PID cascaded controllers are implemented at the direct control level. The on -line optimization level is an extension of feedback control system and consists of subsystems for measurement validation, steady-state detection, process model updating and model-based optimization.

The optimization level is a model-based approach that consists of model adaptation using available measurements and numerical optimization which is performed on the updated model. The process model is embedded within a nonlinear programming (NLP) problem that is solved repeatedly. In the presentation the subsystems of the optimization level will be described. Special attention will be devoted to trade-off between model complexity and calculation time. For on-line implementation of optimization methods model calculation time is strictly limited. A model size reduction must be implemented in order to ensure a simulation time which is sufficient for real-time control. The control and optimization of the glass melting and conditioning process will be provided as an implementation example.

 

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