An Energetic Approach to Predict the Effect of Shot Peening-Based Surface Treatments
Abstract
:1. Introduction
2. Description of the Finite Element Model
3. Single Impact Model
4. Multiple Impact Model
5. Conclusions
Author Contributions
Conflicts of Interest
References
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Steel | Elastic Modulus (GPa) | Yield Modulus (MPa) | Ultimate Tensile Stress (MPa) | Elongation (%) |
---|---|---|---|---|
39NiCrMo3 | 210 | 734 | 908 | 14.8 |
40NiCrMo7 | 203 | 1170 | 1290 | 14.9 |
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Ghelichi, R.; Crispiatico, G.; Guagliano, M.; Bagherifard, S. An Energetic Approach to Predict the Effect of Shot Peening-Based Surface Treatments. Metals 2018, 8, 190. https://doi.org/10.3390/met8030190
Ghelichi R, Crispiatico G, Guagliano M, Bagherifard S. An Energetic Approach to Predict the Effect of Shot Peening-Based Surface Treatments. Metals. 2018; 8(3):190. https://doi.org/10.3390/met8030190
Chicago/Turabian StyleGhelichi, Ramin, Giorgio Crispiatico, Mario Guagliano, and Sara Bagherifard. 2018. "An Energetic Approach to Predict the Effect of Shot Peening-Based Surface Treatments" Metals 8, no. 3: 190. https://doi.org/10.3390/met8030190
APA StyleGhelichi, R., Crispiatico, G., Guagliano, M., & Bagherifard, S. (2018). An Energetic Approach to Predict the Effect of Shot Peening-Based Surface Treatments. Metals, 8(3), 190. https://doi.org/10.3390/met8030190