Inferring Mechanical Properties of Wire Rods via Transfer Learning Using Pre-Trained Neural Networks

Inferring Mechanical Properties of Wire Rods via Transfer Learning Using Pre-Trained Neural Networks

The primary objective of this study is to explore how machine learning techniques can be incorporated into the analysis of material deformation. Neural network algorithms are applied to the study of mechanical properties of wire rods subjected to cold plastic deformations. Specifically, this study e...

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Bibliographic Details
Main Authors: Adriany A. F. Eduardo, Gustavo A. S. Martinez, Ted W. Grant, Lucas B. S. Da Silva, Wei-Liang Qian
Format: Article
Language:English
Published: MDPI AG 2025-04-01
Series:J
Subjects:
wire rod
plastic deformation
machine learning
transfer learning
Online Access:https://www.mdpi.com/2571-8800/8/2/15
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