Using computer vision to analyse fracture strains of oxide scale layers on a macro level

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Using computer vision to analyse fracture strains of oxide scale layers on a macro level

WESTER Hendrik, HUNZE-TRETOW Jan Niklas, BRUNOTTE Kai, BEHRENS Bernd-Arno

Abstract. Hot forging has established itself as an efficient process for the manufacture of highly stressed components. The high semi-finished product temperatures significantly increase the deformation capacity and enable the production of complex geometries. However, high semi-finished product temperatures of up to 1250 °C also lead to increased oxide scale formation. Therefore, oxide scale plays an important role in the context of hot forming processes. Due to the contrasting properties between steel substrates and oxide scale, the appearance of oxide scale affects numerous influencing factors, such as changed friction conditions or thermophysical properties. With increasing interest in numerical process prediction arises the demand to take into account the behaviour of oxide scale in finite-element simulations. In addition to the numerical mapping of the crack behaviour, the challenge in mapping the oxide scale is to determine suitable parameters for describing the failure behaviour. Therefore, this work focuses on a novel procedure to characterise the failure of oxide scale under process relevant conditions of hot forging.

Keywords
Computer Vision, Fracture Types, Oxide Scale, Tensile Test

Published online 4/24/2024, 10 pages
Copyright © 2024 by the author(s)
Published under license by Materials Research Forum LLC., Millersville PA, USA

Citation: WESTER Hendrik, HUNZE-TRETOW Jan Niklas, BRUNOTTE Kai, BEHRENS Bernd-Arno, Using computer vision to analyse fracture strains of oxide scale layers on a macro level, Materials Research Proceedings, Vol. 41, pp 802-811, 2024

DOI: https://doi.org/10.21741/9781644903131-88

The article was published as article 88 of the book Material Forming

Content from this work may be used under the terms of the Creative Commons Attribution 3.0 license. Any further distribution of this work must maintain attribution to the author(s) and the title of the work, journal citation and DOI.

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