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Tytuł artykułu

Methods of comparison of surface texture based on fractal dimension and Hotelling’s T2 test

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Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
Comparative analysis of the surface texture of machine parts can be successfully carried out using statistical tests. The paper presents a methodology of method used to compare the surface texture by applying Hotelling’s T2 test as well as a method used to evaluate surface topography by applying fractal dimension. The tests were carried out on samples produced with the use of face milling process for four types of materials. The following types of steel were used: 40HM, C45, NC6 and WCL. For each type of material, four areas were machined with the same machining parameters. Based on these results a decision was made whether the surfaces, despite the same machining conditions, were significantly different from each other. Furthermore, the analysis indicated that the fractal dimension enabled to characterise signal irregularities in quantitative and qualitative way.
Słowa kluczowe
Rocznik
Strony
82--90
Opis fizyczny
Bibliogr. 15 poz., rys., tab.
Twórcy
  • Kielce University of Technology, Department of Mechanical Engineering and Metrology, Kielce, Poland
Bibliografia
  • [1] ŻAK K., 2014, Influence of grinding conditions on the topographic characteristic of machined surfaces, Journal of Machine Engineering, 14/2, 47–56.
  • [2] KOZIOR T., DÖPKE C., GRIMMELSMANN N., JUNGER I.J., EHRMANN A., 2018, Influence of fabric pre-treatment on adhesion of three-dimensional printed material on textile substrates, Advances in Mechanical Engineering, 10/8, 1–8.
  • [3] ZMARZŁY P., ADAMCZAK S., KOZIOR T., GOGOLEWSKI D., 2018, Surface texture quality of models manufactured by additive technology fused deposition modeling, Proceedings of the 29th DAAAM International Symposium, B. Katalinic (Ed.), Published by DAAAM International, 853–859.
  • [4] GRZESIK W., ŻAK K., 2013, Comparison of surface textures produced by finish cutting, abrasive and burnishing operations in terms of their functional properties, Journal of Machine Engineering, 13/2, 46–58.
  • [5] BLATEYRON F., 2014, Good practices for the use of areal filters, Proceedings of 3rd Seminar on surface metrology of the Americas, Albuquerque, New Mexico.
  • [6] BROWN C.A., HANSEN H.N., et al., 2018, Multiscale analyses and characterizations of surface topographies, CIRP Annals – Manufacturing Technology, 67, 839–862.
  • [7] BRUZZONE A.A.G., MONTANARO J.S., FERRANDO A., LONARDO P.M., 2004, Wavelet analysis for surface characterisation: an experimental assessment, CIRP Annals – Manufacturing Technology, 53/1, 479–482.
  • [8] GOGOLEWSKI D., MAKIEŁA W., 2019, Application of wavelet transform to determine surface texture constituents, In: Durakbasa N., Gencyilmaz M. (eds) Proceedings of the International Symposium for Production Research, Springer, Cham.
  • [9] MAKIEŁA W., GOGOLEWSKI D., NOWAKOWSKI Ł., 2019, Identification of the minimum chip thickness based on the two-dimensional wavelet analysis, Journal of Physics, Conference Series, 1183, 012008.
  • [10] STĘPIEŃ K., 2014, Research on a surface texture analysis by digital signal processing method, Tehnički Vjesnik, 21/3, 485–493.
  • [11] JOHNSON R.A., WICHERN D.W., 2007, Applied multivariate statistical analysis, 6th ed. Prentice Hall, New York.
  • [12] PORWIK P., DROZD R., ORCZYK T., 2015, The k-NN classifier and self-adaptive Hotelling data reduction technique in handwritten signatures recognition, Pattern Analysis and Applications, 18/4, 983–1001.
  • [13] KWAŚNY W., 2009, Predicting properties of PVD and CVD coatings based on fractal quantities describing their surface, Journal of Achievements in Materials and Manufacturing Engineering, 37/2, 125–192.
  • [14] MAKIEŁA W., GOGOLEWSKI D., 2017, Variability evaluation of signal in two-dimensional wavelet decomposition using fractal dimension, Procedia Engineering, 192, 243–248.
  • [15] ŻAK K., 2016, Areal field and fractal based characterization of hard surfaces produced by different machining operations, Journal of Machine Engineering, 16/1, 23–32.
Uwagi
Opracowanie rekordu ze środków MNiSW, umowa Nr 461252 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2020).
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-505321b9-55f9-495e-b274-327e33a68395
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