Dr. Ian McAndrew received his Ph.D. in Mechanical Engineering ; M.Sc. in Manufacturing MA in Education Management ; Pg.D. in Education Training; B.A. (Hons) in Mechanical Engineering; B.A. in Production Engineering Member of the Institute of Electrical Engineers. Dr. McAndrew spent 12 years in industry as a designer before entering academia. He has over 28 years of teaching experience in the UK, Europe, Middle East and Far East. He has supervised over 65 PhD students and published extensively for over 25 years. He is the author of several books and Editor of a new Journal being produced with a focus on Aviation. Currently he is the Dean of Doctoral Programs at Capitol Technology University and responsible for almost 200 doctoral students in Analytics, cybersecurity, technology, aviation and several other specific ones. His research interests are in Aerodynamics and Effective Education, which he has published extensively. He has presented at many Conferences and believes these are critical research meetings for those that are new to research and the experienced to mentor the next generation.
Abstract: Manufacturing commercial aeroplane is not only complex but using complex automation. This research is focused on how Artificial Intelligence can not only support manufacturing, it is now fundamental for success in aviation. As the global aspects of control systems are used then predictive methods for quality and integrity are needed to ensure all the manufacturing an remain robust and meet global demands.
Simon Barrans gained a first degree in
Nuclear Engineering at Manchester University and a PhD on
‘enhancing finite element analysis boundary stress predictions’
from the University of Huddersfield. After a period of time
working for the UK Atomic Energy Authority at Windscale and
Dounraey, he joined the academic staff at the University of
Huddersfield in 1989. He has occupied various teaching and
management positions including being Subject Area Leader in
Mechanical and Automotive Engineering for eight years. He is
currently Professor of Solid Mechanics. He is a reviewer for
seven international journals and a member of the Institution of
Mechanical Engineers’ Academic Standards Panel.
Simon Barrans’ current research, in collaboration with the Institute for Railway Research at Huddersfield University, is concentrated on the structural integrity of the overhead line equipment used on electrified railway systems. He has also investigated the structural integrity of turbocharger components, rotors for very high speed electric machines and the use of foil bearings in turbochargers.
Simon Barrans regularly collaborates with industry on research and development projects. He has managed seven Knowledge Transfer Partnerships with industrial partners funded by Innovate UK, two of which were graded as ‘outstanding’.
Abstract: In the United Kingdom, railway locomotives powered by electricity delivered by an overhead line were introduced approximately 70 years ago. Whilst those first electrification systems have been replaced in the last two decades, there are large amounts of electrified line where the overhead line equipment (OLE) is now requiring more regular maintenance. However, many of the original designs can no longer be made cost effectively and the original suppliers no longer exist. This has provided small to medium sized enterprises (SMEs) with potentially lucrative business opportunities but these are accompanied by significant challenges. In this presentation the challenges involved in making a particular product, the compression end fitting, will be presented. The evolution of the product from design specification, analysis and testing will be presented and the benefits of collaboration between an SME and a University explained
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.
Abstract: One of the most important problem to be solved in the robots Kinematics is the analyse of the joint’s absolute position in the space, angular and linear absolute velocities and accelerations. Because the movements of the robot’s bodies going in the 3D space, the mathematical algorithm must be written in the complex matrix form. The presentation show how some cases of the trapezoidal relatives velocities characteristics in a joints determine the variation of the absolute positions, velocities and acceleration’s vectors in the 3D space. The maximal values of these variations of the angular and linear accelerations influence the variation of the moments respectively forces. In a literature are described some methods of the assisted analyse of the velocities and acceleration without show the used mathematical model, without one critical analyse of the cases that must be avoid and finally without some conclusions for the researchers. The paper shown all LabVIEW virtual instruments (VI) used for this assisted research. By solving the assisted research of the positions, velocities and acceleration will be open the way to the assisted research of the robots dynamic behaviour, to choose the optimal constructive and functional parameters (dimensions of the bodies, simultaneously, successive or complex configurations of the movements in the robot’s joints, optimal values of the constant relative joint’s velocities, etc.) of the robots to obtain the minimum variation of the forces and moments, that determine one optimal dynamic behavior. The method that will be shown solves one small part of the complex problems of the robot’s kinematics and dynamics.
Wojciech Grega, email@example.com, PhD degree in
Automatic Control (1979), degree of Doctor of Science (DSc) in
Automatics and Robotics (1994). Professor's title he received in
2005 from the President of Republic of Poland. Full Professor of
AGH in Krakow: digital control, optimization methods,
distributed control, industrial control systems, engineering
He held various visiting appointments: at Montreal University in Canada (1990), City University in London (1992), and positions of visiting professor in ESSTIN, Nancy, Lyon, (1996) and Embry Riddle University, Daytona Beach, USA (2000). Currently also serving as Supervisory Board Member and scientific consultant for several Polish innovative company.
He is author and co-author of more than 150 papers and 3 books. He has been coordinator or main researcher in 22 national and international projects (lately: Horizon 2020: KIC-ASS, ProInterface, EACEA: ILERT, DESIRE). Served as a member of several scientific committees, including Commission of Technical Sciences of the Polish Academy of Arts and Sciences (2004 - 2010). He was Vice Dean of the Faculty (AGH, 1994-97); Head of the Control Laboratory at Department of Automatics and Biomedical Engineering of AGH (since 2002), Head of the Chair of Applied Computer Science in the Malopolska Higher Vocational School in Krakow (2009-2011), Executive Board Member of the European Association for Education in Electrical and Information Engineering (since 2005), KIC InnoEnergy Poland+ Educational Director (2011-15), co-editor of Measurement Automation and Monitoring Journal (PAR) and International Journal of Modeling and Optimization. In 2016-2017 and since 2018 he has been elected chairman of IEEE Control Systems Society, Polish Section.
Currently, he is serving as Supervisory Board Member and/or Scientific Consultant for several Polish innovative company (http://www.inteco.com.pl/, http://www.jes-energia.pl/en/ ).
He was chairman and co-founder of several international conferences, between them Federated Conference on Computer Science and Information Systems (2011-2017). Invited plenary lecturer at prestigious international conferences, like Meeting of the Directors General of Higher Education, Dublin 2013, ERA in Action: Excellence and cohesion, Brussels 2013.
Abstract: The basic idea behind
district heating is to use local heat production plants to produce hot
water. This water is then delivered to the buildings by network of pipes
where heat exchangers are used to exchange heat from the primary flow of
the distribution pipes to the secondary flows of the building, and
finally to the radiators.
The energy load of any District Heating System (DHS) is subject to large variations due to the fluctuating demands of customers. A DHS must be capable of meeting all such fluctuating energy demands. Optimization of DHS operation has traditionally focused Supply Side Management (SSD). The SSD operations are limited to provide sufficiently high temperature water to all customers, without possibility of actually optimizing the individual components of the system. In many cases control systems fail to adjust to changing weather or the thermodynamic properties of the building. Detailed analysis shows that heating systems are inadequately balanced in up to 75% of urban buildings.
Demand Side Management (DSM) in this case means involvement of individual users demands in the optimization of the heat demand of the building. For non-residental building (schools, offices) the room occupancy schedules create individual demands. The idea of DSM is, that consideration of large number of small local decisions taken together, has a great impact of the overall system performance - if only coordinated control is implemented. DSM strategies can reduce the peak load of energy and change the shape of the load profile. DSM approach brings the demand and supply closer to a perceived optimum.
Essential for the implementation of this strategy is to implement low cost IT solutions that support DSM method. This relates to the following key aspects:
(1) Energy Monitoring: IoT based networking system is developed. Data collected from hundreds of IoT sensors located in the individual rooms in the building is delivered through communication networks. The consumption and generation of energy are monitored and logged in different granularities including the whole building, floors, departments, labs, rooms, and even occupants.
(2) Data processing: The cloud-based architecture supports the IoT services. Data collected from the sensors is transmitted to a data processing unit in the cloud. The unit creates a storage format that is used to process the data and then send the data to database. The authorized user is able to access or control the IoT devices via the user interface on web browser.
(3) Energy Modeling and Evaluation: Through modeling and evaluation, the energy consumption patterns are identified as well as factors that may influence the consumption.
(4) IoT System to Apply Control Activities and Strategy Adjustments:
The modeling and evaluation results are used to apply control strategies to reduce energy consumption. IoT based networking system is again implemented to realize the strategies and achieve the goals.
The findings presented were gained from research projects and pilot installations of smart building technology in Krakow, Poland.