[HTML][HTML] A tutorial on the segmentation of metallographic images: Taxonomy, new MetalDAM dataset, deep learning-based ensemble model, experimental analysis …

J Luengo, R Moreno, I Sevillano, D Charte… - Information …, 2022 - Elsevier
Image segmentation is an important issue in many industrial processes, with high potential
to enhance the manufacturing process derived from raw material imaging. For example …

Method for grain size determination in carbon steels based on the ultimate opening

CA Paredes-Orta, JD Mendiola-Santibañez… - Measurement, 2019 - Elsevier
To understand mechanical properties in materials, grain size determination plays a
fundamental role. Although, several automatic techniques for the determination of grain size …

Classification of graphite particles in metallographic images of cast irons–Quantitative image analysis versus deep learning

L Germain, J Sertucha, A Hazotte, J Lacaze - Materials Characterization, 2024 - Elsevier
Characterizing graphite shape in cast irons is of importance for control of cast components.
This is still done based on standard charts and has been more and more supported by …

A new measure of circularity based on distribution of the radius

AM Herrera-Navarro, H Jiménez Hernández… - Computación y …, 2013 - scielo.org.mx
The measures most commonly used in current literature to compute the roundness of digital
objects are derivations of the form factor based on area and perimeter computations …

3D quantitative analysis of graphite morphology in ductile cast iron by X-ray microtomography

Y Yin, Z Tu, J Zhou, D Zhang, M Wang, Z Guo… - … Materials Transactions A, 2017 - Springer
In this article, X-ray microtomography and color metallographic techniques have been used
to perform three-dimensional quantitative characterization of graphite nodule morphology in …

Framework for characterizing circularity based on a probability distribution

AM Herrera-Navarro, H Jiménez-Hernández… - Measurement, 2013 - Elsevier
Traditionally, the well-known geometrical structures are used as useful geometrical
descriptors, but, an adequate characterization and recognition are deeply affected by …

A new approach to modeling the ductile cast iron microstructure for a finite element analysis

JA Basurto-Hurtado, GI Perez-Soto… - Arabian Journal for …, 2019 - Springer
In this article, a methodology for the generation of geometric models representing the
microstructure of a ductile cast iron (DCI) is presented. This methodology is based on a …

Effect of regular thicknesses on the microstructural and quantitative analysis for a hypo-eutectic ductile iron alloyed with Ni and V

E Colin-García, RG Sánchez-Alvarado… - Journal of Mining and …, 2024 - doiserbia.nb.rs
Ductile iron contains free graphite nodules inside the metallic matrix, which generally
consists of ferrite and pearlite in the as-cast condition. The casting thicknesses greatly …

Image analysis of pellet size for a control system in industrial feed production

MG Ljungqvist, ME Nielsen, BK Ersbøll, S Frosch - PLoS One, 2011 - journals.plos.org
When producing aquaculture fish feed pellets, the size of the output product is of immense
importance. As the production method cannot produce pellets of constant and uniform size …

An approach based on the exploratory data analysis to relate the wear behavior with the microstructure of ductile cast irons

JA Basurto-Hurtado… - … in Materials Science …, 2016 - Wiley Online Library
The aim of this work is to propose a new methodology to relate Ductile Cast Irons (DCIs)
wear behavior with the separation distances and sizes of the graphite nodules through an …