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Predicting Engineering Stress-Strain Curve of AZ91/Graphene Composites with Linear Regression Machine Learning

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Abstract:

In this study, we used a linear regression machine learning model to predict the stress-strain curve of AZ91/graphene composites. The proposed model successfully made predictions with an accuracy of approximately 0.99 (99%) and a small error. The mechanical properties obtained from the curves, such as the yield and ultimate tensile strength, were in excellent agreement with the actual and predicted values. This linear regression model is also well-suited for predicting the stress-strain curve of composites.

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Periodical:

Key Engineering Materials (Volume 1029)

Pages:

49-54

DOI:

https://doi.org/10.4028/p-1RZj0A

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Online since:

November 2025

Authors:

Yudhistira Adityawardhana*, Song Jeng Huang

Keywords:

Composite, Linear Regression, Mechanical Properties

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© 2025 Trans Tech Publications Ltd. All Rights Reserved

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