Predictive modelling of creep age forming parameters using artificial neural networks
Abstract Creep age forming (CAF) is an advanced shaping technique for high-strength aluminum alloys used in the aerospace and automotive industries. This process combines creep deformation and age hardening to shape complex parts while enhancing their strength. Optimizing CAF parameters, however, re...
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| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Springer
2025-07-01
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| Series: | Discover Applied Sciences |
| Online Access: | https://doi.org/10.1007/s42452-025-07518-9 |
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