Casting Microstructure Inspection Using Computer Vision: Dendrite Spacing in Aluminum Alloys

This paper investigates the determination of secondary dendrite arm spacing (SDAS) using convolutional neural networks (CNNs). The aim was to build a Deep Learning (DL) model for SDAS prediction that has industrially acceptable prediction accuracy. The model was trained on images of polished samples...

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Bibliographic Details
Main Authors: Filip Nikolić, Ivan Štajduhar, Marko Čanađija
Format: Article
Language:English
Published: MDPI AG 2021-05-01
Series:Metals
Subjects:
Online Access:https://www.mdpi.com/2075-4701/11/5/756