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Additive manufacturing of Ti–6Al–4V parts through laser metal deposition (LMD): Process, microstructure, and mechanical properties
, Article Journal of Alloys and Compounds ; Volume 804 , 2019 , Pages 163-191 ; 09258388 (ISSN) ; Colera, X. G ; Mirzaali, M. J ; Sovizi, S ; Bartolomeu, F ; St Weglowski, M. K ; Wits, W. W ; Yap, C. Y ; Ahn, J ; Miranda, G ; Silva, F. S ; Madaah Hosseini, H. R ; Ramakrishna, S ; Zadpoor, A. A ; Sharif University of Technology
Elsevier Ltd
2019
Abstract
As one of the most important additive manufacturing (AM) techniques, laser metal deposition (LMD) has been extensively studied specially during the last few years. Similar to other AM techniques, the quality of LMD parts is highly dependent on the processing parameters that need to be optimized so as to obtain geometrically accurate parts as well as favorable microstructures and, thus, mechanical properties. The present review paper therefore aims to present a critical analysis and overview of the relationship between processing parameters, microstructure, and mechanical properties of LMD components made from the Ti–6Al–4V alloy. Moreover, we discuss the applications of LMD parts in the...
Development of an Intelligent Reliability Centered Maintenance System
, Ph.D. Dissertation Sharif University of Technology ; Eshraghniaye Jahromi, Abdolhamid (Supervisor) ; Rafiee, Majid (Co-Supervisor) ; Houshmand, Mahmoud (Co-Supervisor)
Abstract
Reliability-centered maintenance (RCM) is one of the main maintenance methodologies that ensures the continuity of the organization's physical assets in order to meet the expectations of its stakeholders. Despite the widespread use of artificial intelligence in maintenance, the use of these tools to improve the RCM implementation process is a new issue. To this end, in this dissertation, using artificial intelligence and soft computing tools, an upgraded RCM system is introduced so that in addition to increasing the accuracy in the implementation of RCM processes, the time and cost required to implement these processes has reduced, and made it possible to record and store the knowledge of...
Failure mode, effects and criticality analysis (FMECA) in power electronic based power systems
, Article 21st European Conference on Power Electronics and Applications, EPE 2019 ECCE Europe, 3 September 2019 through 5 September 2019 ; 2019 ; 9789075815313 (ISBN) ; Davari, P ; F. Firuzabad, M ; Blaabjerg, F ; Sharif University of Technology
Institute of Electrical and Electronics Engineers Inc
2019
Abstract
Power electronics is becoming an underpinning technology for modern power systems. Power converters are increasingly used in various applications implying different levels of importance in power systems. Hence, optimal decision-making for manufacturing, control, operation and maintenance of them requires understanding of their importance in the power systems. Furthermore, identifying the converters importance may be beneficial for simplifying the system-level reliability modeling in a large Power Electronic based Power Systems (PEPSs). Thereby, a Failure Mode, Effects and Criticality Analysis (FMECA) approach is proposed in this paper in order to figure out the importance of converters in...