Non-destructive determination of microstructural/mechanical properties and thickness variations in API X65 steel using magnetic hysteresis loop and artificial neural networks
Autor: | Ali Mirzaee, Iman Ahadi Akhlaghi, Saeed Kahrobaee |
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Rok vydání: | 2019 |
Předmět: |
Loop (topology)
Materials science Artificial neural network Mechanics of Materials Mechanical Engineering Non destructive Computer Science::Neural and Evolutionary Computation Treatment process General Physics and Astronomy General Materials Science Magnetic hysteresis Microstructure Biological system |
Zdroj: | Nondestructive Testing and Evaluation. 35:190-206 |
ISSN: | 1477-2671 1058-9759 |
DOI: | 10.1080/10589759.2019.1662901 |
Popis: | In this paper, a combination of non-destructive magnetic technique and artificial neural networks is introduced, firstly, to ensure that the heat treatment process applied to a given API X65 steel ... |
Databáze: | OpenAIRE |
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