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Estimation of the Effect of Production Parameters on Mechanical Properties of Sintered Steels Using ANOVA

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Języki publikacji
EN
Abstrakty
EN
The object of the study was to assess the influence of selected production parameters of sintered Fe-Mn-Cr-Mo-C steels i.e. chemical composition, sintering temperature, sintering atmosphere and heat treatment on the following mechanical properties: impact toughness, hardness of the surface, tensile strength, bend strength after static tensile tests. In the investigations, the general linear model (GLM) of the multivariate analysis of variance ANOVA was used. All assumptions of ANOVA, i.e. randomization of the experiment, the normality of the residuals, equality of variance at different levels have been fulfilled and verified. The predictive strength of the constructed models expressed by the adjusted determination coefficient (R2adj) is at medium or large level – R2adj is in the range from 41.46% to 76.97%. This work is focused mainly on the ANOVA methodology. A wide physical interpretation of the results will be possible after the optimization of the ANOVA models used.
Twórcy
autor
  • AGH University of Science and Technology, Faculty of Metals Engineering and Industrial Computer Science, Al. Mickiewicza 30, 30-059 Krakow, Poland
autor
  • AGH University of Science and Technology, Faculty of Metals Engineering and Industrial Computer Science, Al. Mickiewicza 30, 30-059 Krakow, Poland
autor
  • AGH University of Science and Technology, Faculty of Metals Engineering and Industrial Computer Science, Al. Mickiewicza 30, 30-059 Krakow, Poland
  • AGH University of Science and Technology, Faculty of Metals Engineering and Industrial Computer Science, Al. Mickiewicza 30, 30-059 Krakow, Poland
Bibliografia
  • [1] Höganäs handbook for sintered components, Höganäs AB, Sweden, (1997).
  • [2] A. Ciaś, H. Frydrych, T. Pieczonka, Zarys metalurgii proszków, WSziP, Warszawa, (1992).
  • [3] J. Lis, R. Pampuch, Spiekanie, Wyd. AGH, Kraków, (2000).
  • [4] D. C. Montgomery, G.C. Runger, N.F. Hubele, Engineering Statistics, Wiley, 4 ed., (2006).
  • [5] D. C. Montgomery, Design and Analysis of Experiments, Wiley, 6th ed., (2004).
  • [6] M. Sułowski, M. Kabatova, E. Dudrova, Powder Metallurgy Progress 12, 71-83 (2012).
  • [7] M. Sułowski, A. Ciaś, H. Frydrych, J. Frydrych, I. Olszewska, R. Golen, M. Sowa, Proc. of PowderMet2006 Conference, organized by MPIF, San Diego 10, 114-124 (2006).
  • [8] A. Jordan, Design of experiments in process improvement, Master Thesis, AGH University of Science and Technology, Cracow, (2015).
  • [9] M. Sułowski, P. Matusiewicz, Solid State Phenomena 197, 33-40 (2013).
  • [10] A. Aczel, Complete Business Statistics, Wohl Publishing, 8th ed., (2012).
Uwagi
PL
Opracowanie ze środków MNiSW w ramach umowy 812/P-DUN/2016 na działalność upowszechniającą naukę (zadania 2017).
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-a2e93d6e-342c-42ae-bd66-e2882fd8c04e
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