Biography:
Prof. Enrico Zio received the M.Sc. degree in nuclear engineering from Politecnico di Milano in 1991 and in mechanical engineering from UCLA in 1995, and the Ph.D. degree in nuclear engineering from Politecnico di Milano and in probabilistic risk assessment at MIT in 1996 and 1998, respectively. He is currently a full professor at the Centre for research on Risk and Crises (CRC) of Ecole de Mines, ParisTech, PSL University, France, full professor and president of the Alumni Association at Politecnico di Milano, Italy, eminent scholar at Kyung Hee University, Republic of Korea, distinguished guest professor at Tsinghua University, Beijing, China, adjunct professor at City University of Hong Kong, Beihang University and Wuhan University, China and co-director of the Center for REliability and Safety of Critical Infrastructures (CRESCI) and the sino-french laboratory of Risk Science and Engineering (RISE), at Beihang University, Beijing, China. His research focuses on the modeling of the failure-repair-maintenance behavior of components and complex systems, for the analysis of their reliability, maintainability, prognostics, safety, vulnerability, resilience and security characteristics, and on the development and use of Monte Carlo simulation methods, artificial techniques and optimization heuristics. He is author and co-author of seven books and more than 500 papers in international journals, chairman and co-chairman of several international conferences, associate editor of several international journals and referee of more than 20.

Email: enrico.zio@polimi.it, enrico.zio@mines-paristech.fr, enrico.zio@aramis3d.com

Prognostics and Health Management (PHM) in theory and practice: where are we and where do we (need to) go?

Abstract:
We are performing the digital transition of the industrial and service worlds, we are living the 4th industrial revolution, we are building the new World where the digital, physical and human dimensions are strongly interrelated in socio-cyber-physical systems. The internet of things, big data, the industrial internet, are changing the way we design, manufacture, deliver products and services. For the sustainability of these transformations, the reliability of components and systems and the safety of their operation must continue to improve. For this, the knowledge, information and data relevant to the degradation and failure processes must be integrated within a Prognostics and Health Management (PHM) framework, to advance the prediction capabilities for anticipating failures and avoiding accidents.
Model-based and data-driven approaches are being developed for the assessment and prediction of components and system states, providing big opportunities for improved design, operation, management and maintenance.
There is a plethora of methods available and many potential applications for them: yet, there are still a number of critical problems, which impede their full exploitation in practice. In this lecture, I frame what PHM does, both theoretically and by practical examples, and offer some reflections on the challenges still remaining for a full deployment in practice, particularly in relation to condition-based and predictive maintenance.

Biography:
Dr. Mohammad Pourgol-Mohammad is a safety/reliability analyst in multidisciplinary systems analysis, and Associate Professor (Adj.) of Mechanical Engineering at University of Maryland and an Associate Professor of Reliability Engineering, with Sahand University of Technology (SUT). He received his PhD in Reliability Engineering from University of Maryland (UMD), and holds an MSc degree in Nuclear Engineering and another in Reliability Engineering from UMD. His undergraduate degree is in Electrical Engineering. Dr Pourgol-Mohammad has more than 20 year of work experience including research and teaching in safety applications and reliability engineering at various institutions including Teradyne Semiconductor, Keurig Green Mountain, Johnson Controls Inc., SUT, FM Global, Goodman Manufacturing (Daikin), UMD, Massachusetts Institute of Technology (MIT) and University of Zagreb (Croatia). He is a Fellow member of ASQ (Application pending), ASME (2020 Safety Engineering and Risk/Reliability Analysis Division (SERAD) Chair), ANS and also a member of several technical committees and a registered Professional Engineer (PE) in Nuclear Engineering at States of Massachusetts. He is a certified reliability engineer (ASQ CRE), Certified Six Sigma Black Belt (ASQ CSSBB) and Manager of Quality/Organization Excellence (ASQ CMQ/OE). He has authored more than 150 archived journal and peer-reviewed conference papers and filed one US patent (pending). His efforts have been recognized with several awards.

Email: pourgolmohammad@sut.ac.ir, mpourgol@umd.edu

Design for Reliability Platform and Requirement: Industry Prospective

Abstract:
This presentation shares the recent advancements on the industrial approaches to Design for Reliability (DfR). Despite the availability of tools and techniques of DfR, it is not well established in the companies with lower mission-critical products or services. In this presentation, the available tools and techniques of DfR are overviewed and the required resources (human, process and hardware) are discussed. Practical challenges are discussed along with the potential solutions including the reliability target setting, the steps for DfR according to the main design phases, reliability modeling/simulation and reliability testing. New simulation techniques for life determination are also discussed. The presenter’s personal experience with several world-class companies and their approach to reliability qualification (with special focus on the reliability testing and validation) will also be reviewed.

Biography:
Bilal M. Ayyub is an A. James Clark School of Engineering Professor and the director of the University of Maryland Center for Technology and Systems Management. He has expertise in the areas of risk, uncertainty and decision analysis and risk management including finance. He has completed research projects and studies for NSF, DOD, DOT, DHS, and several engineering companies. As a distinguished member of the ASCE, an honorary member of ASME, and a fellow of SNAME, SEI and SRA, he has served the engineering community in various leadership capacities. Among the 650 publications co-authored are more than 20 books, including several textbooks adopted for courses at universities internationally. He is the recipient of several research awards and prizes, and consulted to national and international organizations on infrastructure and defense systems on risk, microeconomic and financial modeling. He has served on the board of several research and development companies.

Email: ba@umd.edu
Website: http://ctsm.umd.edu

Biography:
Dr. Diego Galar is Full Professor of Condition Monitoring in the Division of Operation and Maintenance Engineering at LTU, Luleå University of Technology where he is coordinating several H2020 projects related to different aspects of cyber physical systems, Industry 4.0, IoT or Industrial AI and Big Data. He was also involved in the SKF UTC centre located in Lulea focused on SMART bearings and also actively involved in national projects with the Swedish industry or funded by Swedish national agencies like Vinnova.
He is also principal researcher in Tecnalia (Spain), heading the Maintenance and Reliability research group within the Division of Industry and Transport.
He has authored more than five hundred journal and conference papers, books and technical reports in the field of maintenance, working also as member of editorial boards, scientific committees and chairing international journals and conferences and actively participating in national and international committees for standardization and R&D in the topics of reliability and maintenance.
In the international arena, he has been visiting Professor in the Polytechnic of Braganza (Portugal), University of Valencia and NIU (USA) and the Universidad Pontificia Católica de Chile. Currently, he is visiting professor in University of Sunderland (UK), University of Maryland (USA), and Chongqing University in China.

Digital twins for O&M: Categories and applications
Abstract:
The technology and operation of assets are complex, but the adoption of IoT in and its use with OT platforms enables the use of ‘digital twins’ to manage, monitor and maintain assets. The digital twin connects complex assets and their OT systems to an IT environment by capturing data to monitor performance, deterioration and failure, location and safety compliance and remote monitoring systems for scheduling and asset utilisation.
Through data fusion, digital twins become virtual and digital representations of physical entities or systems. However, the clone created with IT and OT convergence to forecast failures, demand, customer behaviour, or degradation of assets is not complete since it lacks engineering knowledge. This happens because the digital engineering models developed during the engineering phase of projects do not typically play a role in the operational phase.
Therefore, digital transformation demands that engineering technology (ET) be included in the IT/OT convergence process as the importance of integrating product design increases. For that purpose, digital twins must be complemented by other information to assess the overall condition of the whole fleet/system, including information from design and manufacturing, as this obviously contains the physical knowledge of assets.

Biography:
Prof. Dr.-Ing. Sümer Şahin is now an adjoint Professor at Bahçeşehir University in İstanbul, Türkiye after he has been the Dean of Faculty of Engineering at the Near East University in the Turkish Republic of Northern Cyprus. He received his Diplom-Ingenieur (MS) degree in Mechanical Engineering at the University of Stuttgart (Stuttgart, Germany) in 1967 and Doktor-Ingenieur (Ph.D.) degree in Mechanical Engineering at the same university in 1970. In the past, he worked as a Professor at ATILIM University (Ankara, Türkiye); Gazi University (Ankara, Türkiye); Erciyes University (Kayseri, Türkiye); King Saud University (Riyad, Saudi Arabia); as an Associate Professor at Ege University (İzmir, Türkiye) and Karadeniz Technical University (Trabzon, Türkiye); as an Advanced Research Scientist at the Ecole Polytechnique Fédérale de Lausanne (Lausanne, Switzerland); and as a NATO Post-Doctoral Fellow at the Oak Ridge National Laboratory, USA. In 1997, he worked at the Universität Innsbruck, (Innsbruck, Austria) as a Visiting Professor. In1987, he served as the President of the Turkish Scientific and Technical Research Council of Türkiye (TÜBİTAK) and Vice-Chairman of the Intergovernmental Committee on Science and Technology for Development of the United Nations General Assembly (New York, USA).
He has published close to 170 scholarly papers in reputable journals and about 150 international conference papers on a wide array of topics in nuclear and solar energy; and also given Invited Talks and Seminars in 16 different countries around the globe. His research interests and activities cover Neutron Transport Theory, Nuclear Radiation Shielding, Thermionic Space Craft Reactors, and Space Craft Nuclear Propulsion, Fusion Technology, Fusion-Fission (Hybrid) Reactors, Nuclear Waste Transmutation, Alternative Fuels for CANDU Reactors, Accelerator Driven Systems, Non-proliferation and Concentrated Solar Power. He has, at different universities, given lectures on Nuclear Engineering, Reactor Physics, Modern Physics, Heat Transfer, Thermodynamics, Radiation Safety, Physical Aspects of the Energy Production, Nuclear Reactor Design, Fusion Technology and Heat Pipes in Turkish, English, French and German languages.

Abstract:
The power supply system for spacecrafts must be small, compact and light in order to reduce transportation costs. For mission periods exceeding few months and higher power requirements (> 20 kWel ), nuclear reactors will be far more superior than other power sources, such as, chemical fuel cells, solar cells, radioisotope generators, etc. Furthermore, a high reliability of the device is essential throughout the entire mission period. Hence, a static system is to be preferred to eliminate all possible sources of maintenance connected problems, such as, lubrication, sealing, kinematical disturbances on the space craft, etc.
A very attractive way for nuclear electricity production at high levels in a space craft is the thermionic conversion. Thermionic reactors operate at high temperatures (~2000 oK) and high heat waste temperatures (~ 1000 oK), hence they can achieve higher conversion efficiencies than thermoelectricity. A thermionic system will have a compact nuclear reactor, and also a compact waste heat radiator, because high waste heat temperatures allow a drastic reduction of the radiator mass.
One can distinguish in the development of thermionic reactors two main designs, namely thermal and fast reactors. ZrH1.7 is the most recommended moderator for thermal spacecraft reactors for the sake of compactness due to high hydrogen atomic density. Beryllium moderator offers higher stability than metal hydrates at high temperatures at the cost of greater reactor dimensions. Presently, highly enriched 235U (93%) is considered as fuel. In the present work, neutronic analysis for 235U and 233U fueled reactors of both types will be presented.
An integrated nuclear electric power, nuclear thermal propulsion and nuclear electric propulsion system allows not only substantial cost and mass savings but also has the potential to accomplish several space missions which require high power, high orbit, high mass and propulsion capabilities in orbit. It is a strong candidate for applications for high power satellites, such as radar air traffic control and surveillance. In addition, it can contribute substantially to lunar base and Mars exploration for civilian missions, and for more far reaching outer planetary missions. A neutronic and thermo-hydrodynamic analysis for dual-purpose, fast, uranium carbide (UC) fueled in-core thermionic space craft nuclear reactor is conducted.
Being a very compact critical assembly, the reactor has an extremely high neutron leakage. Thus, the reactor control can be performed, elegantly, through the manipulation of the radial neutron leakage with the help of the rotating reflector drums containing natural B4C neutron absorbers, either in form of segments or strips. The effect of boronated drums in the radial reflector on core power profile and boron heating in the drums are also addressed.