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...
Saved in:
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: | |
Online Access: | https://www.mdpi.com/2571-8800/8/2/15 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Determination of the cause of local decarburization in 20G2R steel wire rod after annealing
by: Yu. S. Kulakovskaya, et al.
Published: (2025-01-01) -
WIRE BREAKAGE DURING WIRE DRAWING DUE TO THE PRESENCE OF SURFACE DEFECTS, INHERITED FROM WIRE ROD
by: A. S. Siarohina
Published: (2018-01-01) -
Technology of calibrated wire production for bearing rolling elements manufacturing
by: V. V. Belash, et al.
Published: (2023-09-01) -
STUDY OF THE STRAIN STATE AND MOVEMENTS OF A FLEXIBLE ROD WITH INITIAL CURVATURE
by: A. S. Lichkovakha, et al.
Published: (2020-04-01) -
DESIGN OF PART MACHINING WITH BALL-AND-ROD REINFORCER
by: Regina Zamirovna Yagudina, et al.
Published: (2013-03-01)