Resumen
While the physics of chip formation have been widely studied, there remains a need for greater qualitative and quantitative understanding of the way thermal and mechanical loads, and particularly their dynamic variability across length and time scales affect both the magnitude and variability of machining-induced residual stress (MIRS). This paper leverages an advanced in-situ characterization technique along with a physics-based process model to accurately and quickly predict key MIRS variables for aerospace alloys Inconel 718 and Ti-6Al4V. Our analysis clearly shows opportunities for digitally enabled predictability of engineered surface integrity to evaluate the fatigue performance of aerospace alloys more effectively.
| Idioma original | English |
|---|---|
| Páginas (desde-hasta) | 109-112 |
| Número de páginas | 4 |
| Publicación | CIRP Annals |
| Volumen | 74 |
| N.º | 1 |
| DOI | |
| Estado | Published - ene 2025 |
Nota bibliográfica
Publisher Copyright:© 2025 The Author(s)
Financiación
J. Schoop gratefully acknowledges support by the U.S. National Science Foundation , grant number 2143806 (CAREER award).
| Financiadores | Número del financiador |
|---|---|
| National Science Foundation Arctic Social Science Program | 2143806 |
ASJC Scopus subject areas
- Mechanical Engineering
- Industrial and Manufacturing Engineering
Huella
Profundice en los temas de investigación de 'Physics-based modelling and validation of dynamically varying thermal and mechanical residual stress fields in finish machining of aerospace alloys'. En conjunto forman una huella única.Citar esto
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