Recurrent Neural Network (RNN)-Based Approach to Predict Mean Flow Stress in Industrial Rolling

Recurrent Neural Network (RNN)-Based Approach to Predict Mean Flow Stress in Industrial Rolling

This study addresses the usage of data from industrial plate mills to calculate the mean flow stress of different steel grades. Accurate flow stress values may optimize rolling technology, but the existing literature often provides coefficients like those in the Hensel–Spittel equation for a limited...

Full description

Saved in:
Bibliographic Details
Main Authors: Alexey G. Zinyagin, Alexander V. Muntin, Vadim S. Tynchenko, Pavel I. Zhikharev, Nikita R. Borisenko, Ivan Malashin
Format: Article
Language:English
Published: MDPI AG 2024-11-01
Series:Metals
Subjects:
flow stress
machine learning
rolling mill
GRU
LSTM
material rheology
Online Access:https://www.mdpi.com/2075-4701/14/12/1329
Tags: Add Tag
No Tags, Be the first to tag this record!

Similar Items

Similar Items