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Description
  • The article describes the application of an integral method in the surface assessment to examine changes in a specimen surface at a fatigue test, using the acquired data to predict functional performance of components, namely the functional performance of the barrel bore top end. The article's aim is to evaluate the relation between the surface quality and its functional performance by unconventional and non-standard characteristics. Application of the unconventional parameters used in the assessment of the functional performance tends towards the processing of textured surfaces, i.e. the surfaces based on their own physical substance, and with features corresponding to the required functional performance. Exactly these textured surfaces are normally characterized by the wavelength of profile roughness, statistic and spectral characteristics.
  • The article describes the application of an integral method in the surface assessment to examine changes in a specimen surface at a fatigue test, using the acquired data to predict functional performance of components, namely the functional performance of the barrel bore top end. The article's aim is to evaluate the relation between the surface quality and its functional performance by unconventional and non-standard characteristics. Application of the unconventional parameters used in the assessment of the functional performance tends towards the processing of textured surfaces, i.e. the surfaces based on their own physical substance, and with features corresponding to the required functional performance. Exactly these textured surfaces are normally characterized by the wavelength of profile roughness, statistic and spectral characteristics. (en)
Title
  • Application of the Surface Roughness Spectrum Analysis at Diagnosing Functional Performance of Armament Components
  • Application of the Surface Roughness Spectrum Analysis at Diagnosing Functional Performance of Armament Components (en)
skos:prefLabel
  • Application of the Surface Roughness Spectrum Analysis at Diagnosing Functional Performance of Armament Components
  • Application of the Surface Roughness Spectrum Analysis at Diagnosing Functional Performance of Armament Components (en)
skos:notation
  • RIV/60162694:G43__/10:00428255!RIV11-MO0-G43_____
http://linked.open...avai/riv/aktivita
http://linked.open...avai/riv/aktivity
  • Z(MO0FVT0000404)
http://linked.open...iv/cisloPeriodika
  • 15
http://linked.open...vai/riv/dodaniDat
http://linked.open...aciTvurceVysledku
http://linked.open.../riv/druhVysledku
http://linked.open...iv/duvernostUdaju
http://linked.open...titaPredkladatele
http://linked.open...dnocenehoVysledku
  • 247519
http://linked.open...ai/riv/idVysledku
  • RIV/60162694:G43__/10:00428255
http://linked.open...riv/jazykVysledku
http://linked.open.../riv/klicovaSlova
  • Surface roughness; surface spectrum analysis (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...odStatuVydavatele
  • CZ - Česká republika
http://linked.open...ontrolniKodProRIV
  • [55DFDE01A816]
http://linked.open...i/riv/nazevZdroje
  • Chemicke listy
http://linked.open...in/vavai/riv/obor
http://linked.open...ichTvurcuVysledku
http://linked.open...cetTvurcuVysledku
http://linked.open...UplatneniVysledku
http://linked.open...v/svazekPeriodika
  • 104
http://linked.open...iv/tvurceVysledku
  • Maňas, Karel
  • Svoboda, Emil
  • Dvořáková, Renata
http://linked.open...ain/vavai/riv/wos
  • 000286413700010
http://linked.open...n/vavai/riv/zamer
issn
  • 0009-2770
number of pages
http://localhost/t...ganizacniJednotka
  • G43
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