Red neuronal artificial para predecir la dependencia a la composición química de la energía de falla de apilamiento en aceros inoxidables austeníticos
Stacking fault energy (SFE) is an important parameter to be considered in the design of austenitic stainless steels (SS) due to its influence on magnetic susceptibility, atomic order changes and intergranular corrosion resistance. An extensive review of specialized literature was examined in order...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Universidad Autónoma del Estado de Morelos
2020-06-01
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| Series: | Programación Matemática y Software |
| Subjects: | |
| Online Access: | https://progmat.uaem.mx/progmat/index.php/progmat/article/view/140 |