Development of a technique for simplified simulation of the thermomechanical processing of large ingots

A technique for simplified simulation of the forging of large ingots using modern machine-learning methods for constructing models that describe stages of thermomechanical processing is described.

Saved in:

Bibliographic Details
Published in:	Metallurgist (New York) Vol. 67; no. 11-12; pp. 1778 - 1790
Main Authors:	Ronkov, L. V., Malginov, A. N., Barbolin, A. N., Ivanov, I. A., Doub, V. S., Tokhtamyshev, A. N., Strizhov, M. A.
Format:	Journal Article
Language:	English
Published:	New York Springer US 2024 Springer Nature B.V
Subjects:	Characterization and Evaluation of Materials Chemistry and Materials Science Ingots Machine learning Materials Science Metallic Materials Thermomechanical treatment Forging Modeling and simulation 669.05 Thermomechanical processing Machine learning
Online Access:	Get full text
Tags:	Add Tag No Tags, Be the first to tag this record!

Description
Summary:	A technique for simplified simulation of the forging of large ingots using modern machine-learning methods for constructing models that describe stages of thermomechanical processing is described.
ISSN:	0026-0894 1573-8892
DOI:	10.1007/s11015-024-01675-9