Classification of Sand-Binder Mixtures from the Foundry Industry Using Electrical Impedance Spectroscopy and Support Vector Machines

Classification of Sand-Binder Mixtures from the Foundry Industry Using Electrical Impedance Spectroscopy and Support Vector Machines

Molding sand mixtures used in the foundry industry consist of various sands (quartz sands, chromite sands, etc.) and additives such as bentonite. The optimum control of the processes involved in using the mixtures and in their regeneration after the casting requires an efficient in-line monitoring m...

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Bibliographic Details
Main Authors: Luca Bifano, Xiaohu Ma, Gerhard Fischerauer
Format: Article
Language:English
Published: MDPI AG 2024-03-01
Series:Sensors
Subjects:
electrical impedance spectroscopy (EIS)
machine learning
support vector machines (SVM)
feature analysis
classification
foundry
Online Access:https://www.mdpi.com/1424-8220/24/6/2013

Internet

https://www.mdpi.com/1424-8220/24/6/2013

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