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Diagnostics of surface of narrow crystallizer’s desks

Wybrane pełne teksty z tego czasopisma
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Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
Purpose: of this paper: This paper described the analysis of the issue of monitoring and diagnostics of surface of narrow crystallizer’s desks. There is described the development and the achieved laboratory results based on laser object surface scanning. The diagnostic system which is currently creating will be part of management systems to support service life of crystallizer as a part of continuous steel casting device. The emergence of weariness is caused by many factors, influences and processes that act and run directly on the device, its individual parts, through its operation. These effects result in changes in the device surface’s properties and its components and are the primary cause of technical failures that affect both, the efficiency of the process, and also the life of the individual parts. Design/methodology/approach: The focus of the used solution is increasing of advantages of the continuous steel casting device, which can be achieved only by management system’s that will minimize undesirable influences on the technological process. Among the significant side effects affecting the efficiency of the process of the continuous steel casting device belong wear of the crystallizer which is causing disturbance and operation disruption. Findings: There was created a methodology for evaluation of crystallizer’s desks and suggested a laboratory device for that purpose. Research limitations/implications: Another solution will be focused on developing of diagnostics device into the operational conditions. Practical implications: These problems are solved with cooperation with regional metallurgical companies. Gained results will be applied into the operational conditions. Originality/value: In the frame of solution was created a catalogue of defects of crystallizer’s desks and methodology of evaluation of crystallizer’s desks states.
Rocznik
Strony
454--460
Opis fizyczny
Bibliogr. 10 poz., rys.
Twórcy
autor
  • Department of Automation and computing in Metallurgy, Vysoká škola báňská - Technical Univerzity of Ostrava, 17. listopadu 15, Ostrava- Poruba, 708 00, Czech Republic
autor
  • Department of Automation and computing in Metallurgy, Vysoká škola báňská - Technical Univerzity of Ostrava, 17. listopadu 15, Ostrava- Poruba, 708 00, Czech Republic
autor
  • Department of Automation and computing in Metallurgy, Vysoká škola báňská - Technical Univerzity of Ostrava, 17. listopadu 15, Ostrava- Poruba, 708 00, Czech Republic
Bibliografia
  • [1] J. David, M. Heger, M. Vrožina, L. Válek, Visualisation of data fields, Archives of Metalurgy and Materials 55/3 (2010) 795-801.
  • [2] J. David, R. Frischer, Development of new progresive tools and systems for quality impoving of dependable flat products on slab device of continuous casting, Acta Metallurgica Slovaca 1 (2010) 162-166.
  • [3] M. Vrožina, Usage of knowledge systems in maintenance control of metallurgical devices with help of continuous diagnostics into the solution, VSB-TU Ostrava, 2004, Final report of grant project 106/05/2596 for period 2005-2007, VSB-TU Ostrava, 2008.
  • [4] J. David, Stage 2 - Identification of diagnostics quantities and development of diagnostics system, Report about stage solving in TIP program, VSB-TU Ostrava, 2010/12.
  • [5] Y.Y. He, X.M. Zhang, M.I. Friswell, Defect diagnostics in devices via acoustic emission, Journal of Vibration and Acoustics, Transactions of the Asme 11 (2009).
  • [6] A. Carpinteri, Critical defect size distributions in concrete structures detected by the acoustic emission technique, Meccanica 43 (2008) 349-363.
  • [7] V. Volkovas, J. Dulevicius, Acoustic emission used for detection of crack generation in propellers of turbine-pump units, Russian Journal of Nondestructive Testing 42 (2006) 248-254.
  • [8] R. Lenort, A. Samolejová, Analysis and identification of floating capacity bottlenecks in metallurgical production, Metalurgija 46/1 (2007) 61-66.
  • [9] R. Lenort, D. Staš, A. Samolejová, Capacity planning in operations producing heavy plate cut shapes, Metalurgija 48/3 (2009) 209-211.
  • [10] I. Spicka, M. Heger, J. Franz, The mathematical-physical models and the neural network exploitation for time prediction of cooling down low range specimen, Archives of Metallurgy and Materials 55/3 (2010) 921-926.
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-cc5b1d35-bbee-46a6-a038-a59e244424ec
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