Machine Learning Estimation of Plateau Stress of Aluminum Foam Using X-ray Computed Tomography Images

Machine Learning Estimation of Plateau Stress of Aluminum Foam Using X-ray Computed Tomography Images

Owing to its lightweight and excellent shock-absorbing properties, aluminum foam is used in automotive parts and construction materials. If a nondestructive quality assurance method can be established, the application of aluminum foam will be further expanded. In this study, we attempted to estimate...

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Bibliographic Details
Main Authors: Yoshihiko Hangai, So Ozawa, Kenji Okada, Yuuki Tanaka, Kenji Amagai, Ryosuke Suzuki
Format: Article
Language:English
Published: MDPI AG 2023-02-01
Series:Materials
Subjects:
cellular materials
machine learning
deep learning
neural network
foam
X-ray computed tomography (CT)
Online Access:https://www.mdpi.com/1996-1944/16/5/1894

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