Identification of the ductile fracture area of X70 steel from DWTT broken specimens

Kód výsledku v IS VaVaI

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RIV/61989100:27240/17:10241889

Výsledek na webu

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DOI - Digital Object Identifier

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Jazyk výsledku

angličtina

Název v původním jazyce

Identification of the ductile fracture area of X70 steel from DWTT broken specimens

Popis výsledku v původním jazyce

Fracture surfaces of X70 steel DWTT broken samples are analysed using new surface evaluation concept. The presented approach is an alternative to an expert determining a ratio between the ductile and brittle fracture area. The analysed data source, i.e. x, y and z coordinates of points of fracture surface, comes from 3D scan using Limess Measurement Technique. Beside formerly used fractal geometry approach, new concept based on normal vector characteristics is used. The fracture surface net is generated by triangulation of points of fracture surface. For every triangle, the normal vector is computed. Thereafter, normal vector characteristics are clustered via k-means++ clustering algorithm. Application of the algorithm improves the correct detection of the brittle and ductile fractures significantly, so that the achieved clusters highly correspond to the real distribution of the ductile and brittle fracture areas on DWTT surface. Furthermore, applied methods are computationally very fast, so that it is possible to apply them for the scans with considerably higher magnitude. The correctness of the final cluster results are evaluated comparing with the real displacement of the brittle and ductile fracture, and by using various theoretical approaches.

Název v anglickém jazyce

Identification of the ductile fracture area of X70 steel from DWTT broken specimens

Popis výsledku anglicky

Fracture surfaces of X70 steel DWTT broken samples are analysed using new surface evaluation concept. The presented approach is an alternative to an expert determining a ratio between the ductile and brittle fracture area. The analysed data source, i.e. x, y and z coordinates of points of fracture surface, comes from 3D scan using Limess Measurement Technique. Beside formerly used fractal geometry approach, new concept based on normal vector characteristics is used. The fracture surface net is generated by triangulation of points of fracture surface. For every triangle, the normal vector is computed. Thereafter, normal vector characteristics are clustered via k-means++ clustering algorithm. Application of the algorithm improves the correct detection of the brittle and ductile fractures significantly, so that the achieved clusters highly correspond to the real distribution of the ductile and brittle fracture areas on DWTT surface. Furthermore, applied methods are computationally very fast, so that it is possible to apply them for the scans with considerably higher magnitude. The correctness of the final cluster results are evaluated comparing with the real displacement of the brittle and ductile fracture, and by using various theoretical approaches.

Druh

D - Stať ve sborníku

CEP obor

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OECD FORD obor

10102 - Applied mathematics

Projekt

Výsledek vznikl pri realizaci vícero projektů. Více informací v záložce Projekty.

Návaznosti

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Rok uplatnění

2017

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název statě ve sborníku

METAL 2017: conference proceedings : 26th International Conference on Metallurgy and Materials : (reviewed version) : May 24th-26th 2017, Hotel Voroněž I, Brno, Czech Republic, EU

ISBN

978-80-87294-79-6

ISSN

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e-ISSN

neuvedeno

Počet stran výsledku

6

Strana od-do

589-594

Název nakladatele

Tanger

Místo vydání

Ostrava

Místo konání akce

Brno

Datum konání akce

24. 5. 2017

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

000434346900090