Optimization of Hydromechanical Pressing of (Nb–Ti) + Cu Metal Matrix Composite Workpieces Using Neural Network Modeling
The hydromechanical pressing of bimetallic composite material workpieces is optimized. Neural network modeling is used to determine the optimum values of key technological parameters (reduction ratio, die cone angle, contact friction conditions) to achieve a complex minimum (quality criterion) of deformation heterogeneity, fiber (filament) damage, and pressing stress.
Authors
- А. Г. Залазинский
- Д. А. Двойников
- В. Г. Титов
- В. П. Швейкин (ORCID: https://orcid.org/0000-0002-9316-1369)
Institutions
- Russian Academy of Sciences (RU)
- Institute of Engineering Science (RU)
Publication Details
- Journal
- Russian Metallurgy (Metally)
- Published
- 2025-05-01
- DOI
- https://doi.org/10.1134/s003602952570199x
- Primary Topic
- Polymer Science and Applications
- Type
- article
- Field-Weighted Citation Impact
- 0.00