Tetsu-to-Hagane
Online ISSN : 1883-2954
Print ISSN : 0021-1575
ISSN-L : 0021-1575

This article has now been updated. Please use the final version.

Development of Auto-Searching Method of Brittle Fracture Initiation Point Based on River-Pattern and Tear Ridge
Tetsuya NamegawaManabu HoshinoMasaaki FujiokaHiroyuki Shirahata
Author information
JOURNAL OPEN ACCESS Advance online publication

Article ID: TETSU-2021-025

Details
Abstract

A method to automatically search brittle fracture initiation point is proposed. The method calculates flow paths from each edge of an image to opposite side along flow potential. The potential is derived from the direction of river-pattern and tear ridge. The most concentrated position of flow paths is determined as a fracture initiation point. The method achieves 99% precision and high speed analysis for low magnification images of 206 thick plate samples. Furthermore, discriminating ductile fracture by machine learning and excluding noise potential obtained from it, and considering local feature of river-pattern that spread radially near a fracture initiation point, the method precision is improved for high magnification images. Using fractal feature of brittle fracture and repeatedly applying the method, a fracture initiation point is determined within the size of a single grain level.

Content from these authors
© 2021 The Iron and Steel Institute of Japan

This article is licensed under a Creative Commons [Attribution-NonCommercial-NoDerivatives 4.0 International] license.
https://creativecommons.org/licenses/by-nc-nd/4.0/
feedback
Top