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Non-Contact Thickness Estimation of High-Temperature Oxide Scales on AISI 1045 Steel Using Infrared Thermography and Tree-Based Machine Learning.

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Title: Non-Contact Thickness Estimation of High-Temperature Oxide Scales on AISI 1045 Steel Using Infrared Thermography and Tree-Based Machine Learning.
Authors: Morales-Cervantes, Antony1, Chávez-Campos, Gerardo Marx1, Vergara-Hernández, Héctor Javier1, León-Bejarano, Maritza Fabiola2, Guevara, Edgar3, Téllez-Martínez, Jorge Sergio1, jorge.tm@morelia.tecnm.mx
Source: JOM: The Journal of The Minerals, Metals & Materials Society (TMS); May2026, Vol. 78 Issue 5, p4938-4948, 11p
Database: Applied Science & Technology Source
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Header DbId: aci
DbLabel: Applied Science & Technology Source
An: 193367095
AccessLevel: 2
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
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RecordInfo BibRecord:
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      – Type: doi
        Value: 10.1007/s11837-026-08233-5
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      – Code: eng
        Text: English
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        PageCount: 11
        StartPage: 4938
    Titles:
      – TitleFull: Non-Contact Thickness Estimation of High-Temperature Oxide Scales on AISI 1045 Steel Using Infrared Thermography and Tree-Based Machine Learning.
        Type: main
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            NameFull: Morales-Cervantes, Antony
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            NameFull: Chávez-Campos, Gerardo Marx
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            NameFull: Vergara-Hernández, Héctor Javier
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            NameFull: León-Bejarano, Maritza Fabiola
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            NameFull: Guevara, Edgar
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            NameFull: Téllez-Martínez, Jorge Sergio
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          Dates:
            – D: 01
              M: 05
              Text: May2026
              Type: published
              Y: 2026
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              Value: 78
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            – TitleFull: JOM: The Journal of The Minerals, Metals & Materials Society (TMS)
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