PL EN


Preferencje help
Widoczny [Schowaj] Abstrakt
Liczba wyników
Tytuł artykułu

Matrix replica method and artificial neural networks as a component of condition assessment of materials for the power industry

Wybrane pełne teksty z tego czasopisma
Identyfikatory
Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
Purpose: use of matrix replica method and artificial neural networks in condition assessment of materials working under creep conditions. Demonstration of scanning electron microscopy usefulness for correct assessment of the occurrence of internal damages. Design/methodology/approach: For material after long-term service the microstructural investigations were carried out on metallographic specimens and matrix replicas using light and scanning electron microscope. A computer program was used for material condition assessment. Findings: The way of material condition assessment by matrix replica method using a computer program as an example of the application of computer materials science methods was presented. The correct development of methodology for assessment of the degree of internal damages in steel working under creep conditions was found a result of verification. Critical comments on condition assessment of structure observed using light microscopy were presented. Practical implications: The presented method can be used for evaluation and qualification of structural changes in power station boiler components operating in creep conditions. Originality/value: The presented results of changes in the mechanical properties, structure and in the precipitation processes are applied to evaluation the condition of the elements in further industrial service.
Rocznik
Strony
130--136
Opis fizyczny
Bibliogr. 25 poz.
Twórcy
autor
  • Division of Materials Processing Technology, Management and Computer Techniques in Materials Science, Institute of Engineering Materials and Biomaterials, Silesian University of Technology, ul. Konarskiego 18a, 44-100 Gliwice, Poland
  • Institute for Ferrous Metallurgy, ul. K. Miarki 12, 44-100 Gliwice, Poland
Bibliografia
  • [1] J Dobrzański, M Sroka, Computer aided classification of internal damages the chromium-molybdenum steels after creep service, Journal of Achievements in Materials and Manufacturing Engineering 24/2 (2007) 143-146.
  • [2] J Dobrzański, A Zieliński, M Sroka, The influence of simultaneous impact of temperature and time on the properties and structure of X10CrWMoVNb9-2 steel, Journal of Materials Processing Technology 34/1 (2009) 7-14.
  • [3] J. Dobrzański, The classification method and the technical condition evaluation of the critical elements’ material of power boilers in creep service made from the 12Cr-1Mo-V, Journal of Materials Processing Technology 164-165 (2005) 785-794.
  • [4] J. Dobrzański, Material diagnostics in evaluation of the state and extended service time forecast in addition to the computational life of pipelines in creep service, Power Engineering 12 (2002) 937- 943 (in Polish).
  • [5] L.A. Dobrzański, Fundamentals of materials science and physical metallurgy engineering materials with fundamentals of materials design, WNT, Warsaw, 2002 (in Polish).
  • [6] P. Korczak, H. Dyja, E. Łabuda, Using neural network models for predicting mechanical properties after hot plate rolling processes, Journal of Materials Processing Technology 80-81 (1998) 481-486.
  • [7] J. Trzaska, L.A. Dobrzański, Application of neural networks for designing the chemical composition of steel with the assumed hardness after cooling from the austenitising temperature, Journal of Materials Processing Technology 164-165 (2005) 1637-1643.
  • [8] W. You, Y.X. Liu, B.Z. Bai, H.S. Fang, RBF-type artificial neural network model applied in alloy design of steels. International Journal of Iron And Steel Research 15/2 (2008) 87-90.
  • [9] B. Tyler, App. Surf. Sci., Interpretation of TOF-SIMS images: multivariate and univariate approaches to image denoising, Image Segmentation and Compound Identification, 203-204 (2003) 825-831.
  • [10] L.A. Dobrzański, M Sroka, A Polok, A Śliwa, Employment of the artificial neural networks for prediction of the mechanical properties of constructional steels, Proceedings
  • of the 13th Scientific International Conference on „Achievements in Mechanical and Materials Engineering” AMME’2005, Gliwice-Wisła, 2005, 191-194.
  • [11] D. Rutkowska, M. Pilinski, L. Rutkowski, Neural networks, genetic algorithms and fuzzy systems, PWN, Warsaw, 1996, (in Polish).
  • [12] L. Miaoquan, Ch. Dunjun, X. Aiming, Li. Long, An adaptive prediction model of grain size for the forging of Ti-6Al-4V alloy based on fuzzy neural networks, Journal of Materials Processing Technology 123 (2002) 377-381.
  • [13]R. Tadeusiewicz, P. Korohoda, Computer assisted image analysis and processing, Development in Telecommunication Press, Cracow, 1997 (in Polish).
  • [14]A. Hernas, J. Dobrzański, Life-time and damage of boilers and steam turbines elements, Silesian University of Technology, Gliwice, 2003 (in Polish).
  • [15]A. Zieliński, J. Dobrzański, H. Krztoń, Structural changes in low alloy cast steel Cr-Mo-V after long time creep service, Journal of Achievements in Materials and Manufacturing Engineering 25/1 (2007) 33-36.
  • [16]L.A. Dobrzański, M. Sroka, J. Dobrzański, Application of neural networks to classification of internal damages in steels working in creep service, Journal of Achievements in Materials and Manufacturing Engineering 20 (2006) 303-306.
  • [17]J. Dobrzański, Internal damage processes in low alloy chromium-molybdenum steels during high-temperature creep service, Journal of Materials Processing Technology 157-158 (2004) 197-303.
  • [18]J. Dobrzański, A. Zieliński, M. Sroka, Structure, properties and method of the state evaluation of low-alloyed steel T23 (HCM2S) worked in creep conditions, Proceedings of the 11th International Conference on “Contemporary achievements in mechanics, manufacturing and materials science” CAM3S’2005, Gliwice-Zakopane, 2005, 171-180.
  • [19]J. Dobrzański, M. Sroka, A. Zieliński, Methodology of classification of internal damage the steels during creep service, Journal of Achievements in Materials and Manufacturing Engineering 18 (2006) 263-266.
  • [20]M. Sroka, Methodology of computer forecasting of residual life of elements in creep service, PhD Thesis, Gliwice, 2006 (unpublished, in Polish).
  • [21]J. Dobrzański, M. Sroka, Computer aided classification of internal damages the chromium-molybdenum steels after creep service, Journal of Achievements in Materials and Manufacturing Engineering 24 (2007) 143-146.
  • [22]A. Zieliński, J. Dobrzański, D. Renowicz, A. Hernas, The estimation of residual life of low-alloy cast steel Cr-Mo-V type after long-term creep service, Proceedings of the 15th International Conference on “Advances in Material Technology for Fossil Power Plants”, Marco Island, 2007, 616-626.
  • [23]G. Golański, P. Wieczorek, Electron microscopy investigation of the Cr-Mo-V cast steel, Archives of Materials Science and Engineering 30/2 (2008) 73-76.
  • [24]A. Zieliński, J. Dobrzański, T. Jóźwik, Assessment of loss in life time of the primary steam pipeline material after long-term service under creep conditions, Journal of Achievements in Materials and Manufacturing Engineering 54 (2012) 67-74.
  • [25]J Dobrzański, A Zieliński, M Sroka, Microstructure, properties investigations and methodology of the state evaluation of T23 (2,25Cr-0,3Mo-1,6W-V-Nb) steel in boilers application, Journal of Achievements in Materials and Manufacturing Engineering 32/2 (2009) 142-153.
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-a9c37f3e-c7bc-4e6e-bd95-1ee551889432
JavaScript jest wyłączony w Twojej przeglądarce internetowej. Włącz go, a następnie odśwież stronę, aby móc w pełni z niej korzystać.