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Tytuł artykułu

Evaluation of Classification Ability of the Parameters Characterizing Stereometric Properties of Technical Surfaces

Treść / Zawartość
Identyfikatory
Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
The analysis of classification ability of the parameters used for the description of surfaces formed during the processes of technological processing constitutes important issue in the surface layer metrology. To investigate the classification ability, variance and geometric mean of the ordered differences of the parameter value. The study compares behaviour of both indices for different distributions of ordered differences of the parameter value. Moreover, the relationship between bot indices and influence of the number of minor differences of the parameter value on the value of variance and geometric mean.
Rocznik
Strony
86--94
Opis fizyczny
Bibliogr. 17 poz., rys.
Twórcy
autor
  • Koszalin University of Technology, Faculty of Mechanical Engineering, Koszalin, Poland
  • The Jacob of Paradyż University of Applied Sciences in Gorzów Wielkopolski, Technical Department, Gorzów Wielkopolski, Poland
autor
  • Koszalin University of Technology, Faculty of Mechanical Engineering, Koszalin, Poland
Bibliografia
  • [1] WHITEHOUSE D.J., 1994, Handbook of Surface and Nanometrology. Institute of Physics Publishing Bristol in Philadelphia.
  • [2] GÓRECKA R., POLAŃSKI Z., 1983, Surface layer metrology, Wydawnictwa Naukowo-Techniczne, Warszawa, (in Polish).
  • [3] TOMKOWSKI R., KACALAK W., LIPIŃSKI D., 2012, Evaluation of the surface topography after precision machining, Journal of Machine Engineering, 12(4), 71-79.
  • [4] KACALAK W., RYPINA Ł., TANDECKA K., 2015, Modelling and analysis of displacement of materials characterized by different properties in the zone of microcutting, Journal of Machine Engineering, 15(4), 59-68.
  • [5] KACALAK W., LIPIŃSKI D., TOMKOWSKI R., 2008, The basis for a qualitative assessment of the shaped surface condition using the theory of fuzzy logic, Wydawnictwo PAK, 54, 4, (in Polish).
  • [6] POLJACEK S.M., RISOVIC D., FURIC K., GOJO M., 2008, Comparison of fractal and profilometric methods for surface topography characterization. Applied Surface Science, 254, 3449-3458.
  • [7] RUSS J.C., 1994, Fractal Surfaces, Springer, New York.
  • [8] KACALAK W., SZAFRANIEC F., TOMKOWSKI R., LIPIŃSKI D., ŁUKIANOWICZ C., 2011, The methodology for assessing the classification ability of parameters featuring the stereometric surface roughness, Wydawnictwo PAK, 57, 5, (in Polish).
  • [9] RAO C.R., 1982, Linear models of mathematical statistics, PWN, Warszawa (in Polish).
  • [10] GREŃ J., 1976, Mathematical statistics. Models and tasks, PWN, Warszawa (in Polish).
  • [11] ZELIAŚ A., PAWEŁEK B., WANAT S., 2004, Economic forecasting, Wydawnictwo Naukowe PWN, Warszawa (in Polish).
  • [12] BIELIŃSKA E., 1997, Processes identification, Wydawnictwo Politechniki Śląskiej, Gliwice, (in Polish).
  • [13] GAWRIŁOW A., 1978, Machines and equipment manufacturing accuracy, Wydawnictwa Naukowo-Techniczne, Warszawa, (in Polish).
  • [14] PAWLUS P., 2005, Surface topography. Measurement, analysis, impact, Oficyna wydawnicza Politechniki Rzeszowskiej, Rzeszów, (in Polish).
  • [15] WIECZOROWSKI M., 2013, Metrology of roughness of surface, ZAPOL, Szczecin, (in Polish).
  • [16] TOMKOWSKI R., 2013, Analysis of features stereometric surface finish grinding using the new evaluation parameters, PhD thesis, Politechnika Koszalińska, (in Polish).
  • [17] MARSHALL A.W., OLKIN I., 1979, Inequalities: Theory of Majorization and Its Application, Academic Press., New York.
Uwagi
PL
Opracowanie ze środków MNiSW w ramach umowy 812/P-DUN/2016 na działalność upowszechniającą naukę.
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-4d18a0c8-e11c-4387-a058-7fb45da1de3f
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