Development of a digital image processing software to evaluate the solidification structure in steel

Publikationen: Thesis / Studienabschlussarbeiten und HabilitationsschriftenMasterarbeit

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Development of a digital image processing software to evaluate the solidification structure in steel. / Griesser, Stefan.
2009.

Publikationen: Thesis / Studienabschlussarbeiten und HabilitationsschriftenMasterarbeit

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@mastersthesis{e989d16be4864ae5b058aec7cb7d183d,
title = "Development of a digital image processing software to evaluate the solidification structure in steel",
abstract = "The primary grain size is an important parameter with respect to the internal quality of steel. The examination of the primary grain size by hand is very time consuming and also a subjective process. Therefore, a digital image processing software has been developed using MATLAB R2007b. Existing machine vision based methods are just able to evaluate secondary or tertiary grain boundaries because of their visible shape (i.e. pro-eutectoid ferrite). However, these methods are not able to detect primary grain boundaries. The software developed during this Master Thesis is, to the best of my knowledge, the first automatic procedure for the determination of primary grain boundaries from the orientation of the dendrites.",
keywords = "Stahl Prim{\"a}rk{\"o}rner Prim{\"a}rkorngrenzen Dendriten Mikrostruktur, steel primary grains primary grain boundaries dendrite microstructure competitive grain growth",
author = "Stefan Griesser",
note = "embargoed until null",
year = "2009",
language = "English",

}

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TY - THES

T1 - Development of a digital image processing software to evaluate the solidification structure in steel

AU - Griesser, Stefan

N1 - embargoed until null

PY - 2009

Y1 - 2009

N2 - The primary grain size is an important parameter with respect to the internal quality of steel. The examination of the primary grain size by hand is very time consuming and also a subjective process. Therefore, a digital image processing software has been developed using MATLAB R2007b. Existing machine vision based methods are just able to evaluate secondary or tertiary grain boundaries because of their visible shape (i.e. pro-eutectoid ferrite). However, these methods are not able to detect primary grain boundaries. The software developed during this Master Thesis is, to the best of my knowledge, the first automatic procedure for the determination of primary grain boundaries from the orientation of the dendrites.

AB - The primary grain size is an important parameter with respect to the internal quality of steel. The examination of the primary grain size by hand is very time consuming and also a subjective process. Therefore, a digital image processing software has been developed using MATLAB R2007b. Existing machine vision based methods are just able to evaluate secondary or tertiary grain boundaries because of their visible shape (i.e. pro-eutectoid ferrite). However, these methods are not able to detect primary grain boundaries. The software developed during this Master Thesis is, to the best of my knowledge, the first automatic procedure for the determination of primary grain boundaries from the orientation of the dendrites.

KW - Stahl Primärkörner Primärkorngrenzen Dendriten Mikrostruktur

KW - steel primary grains primary grain boundaries dendrite microstructure competitive grain growth

M3 - Master's Thesis

ER -