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Article

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Title

A novel approach for pattern recognition by using graph theory and its application in mechanical engineering

Authors

[ 1 ] Instytut Technologii Mechanicznej, Wydział Inżynierii Mechanicznej, Politechnika Poznańska | [ P ] employee

Scientific discipline (Law 2.0)

[2.9] Mechanical engineering

Year of publication

2021

Published in

Academic Journal of Manufacturing Engineering

Journal year: 2021 | Journal volume: vol. 19 | Journal number: iss. 3

Article type

scientific article

Publication language

english

Keywords
EN
  • intelligent systems
  • graph theory
  • fractal dimension
  • pattern recognition
Abstract

EN n this article, we present a novel approach for pattern recognition by using graph theory and its application in mechanical engineering. One of the most important characteristics of the microstructure of a material is the grain size. The analysis of structure is based on statistical methods and on the principle: from the general image of the structure to the particular (individual grains) by averaging. With computer methods, material structure is characterized by analyzing each grain. When using computer software tools it is also possible to analyze the area occupied by a certain structure directly, without the need for approximate calculations, as well as automatically create a report file. The aim of this paper is to present a new methodology; a novel approach for pattern recognition by using graph theory and its application in the analysis of grain size distribution values. These values were obtained from SEM images of robot laser-hardened specimens using estimating methods to calculate the fractal dimension of 3D objects and calculating the density of 3D visibility graphs.

Pages (from - to)

5 - 10

URL

https://www.ajme.ro/PDF_AJME_2021_3/L1.pdf

Open Access Mode

open journal

Open Access Text Version

final published version

Date of Open Access to the publication

at the time of publication

Ministry points / journal

40

Ministry points / journal in years 2017-2021

40

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