Stephen D. Sintay, Ph.D.
Institution:
Carnegie Mellon University, Pittsburgh, PAArea:
Structure-property relationships, computer simulation, grain boundariesGoogle:
"Stephen Sintay"Mean distance: 3981.3
Parents
Sign in to add mentor| Anthony D. Rollett | grad student | 2010 | Carnegie Mellon | |
| (Statistical microstructure generation and 3D microstructure geometry extraction.) | ||||
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Publications
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| Kar D, Sintay SD, Rohrer GS, et al. (2012) Role of inclination dependent anisotropy on boundary populations during two-dimensional grain growth Materials Science Forum. 715: 697-702 |
| Arita Y, Chan L, Sintay SD, et al. (2012) Texture change during grain growth in non-oriented electrical steel Materials Science Forum. 715: 33-40 |
| Sintay SD, Rollett AD. (2012) Testing the accuracy of microstructure reconstruction in three dimensions using phantoms Modelling and Simulation in Materials Science and Engineering. 20 |
| Uyar F, Wilson SR, Gruber J, et al. (2009) Testing a curvature driven moving finite element grain growth model with the generalized three dimensional von Neumann relation International Journal of Materials Research. 100: 543-549 |
| Wang L, Daniewicz SR, Horstemeyer MF, et al. (2009) Three-dimensional finite element analysis using crystal plasticity for a parameter study of microstructurally small fatigue crack growth in a AA7075 aluminum alloy International Journal of Fatigue. 31: 651-658 |
| Wang L, Daniewicz SR, Horstemeyer MF, et al. (2009) Three-dimensional finite element analysis using crystal plasticity for a parameter study of fatigue crack incubation in a 7075 aluminum alloy International Journal of Fatigue. 31: 659-667 |
| Sintay SD, Groeber MA, Rollett AD. (2009) 3D reconstruction of digital microstructures Electron Backscatter Diffraction in Materials Science. 139-153 |
| Bozek JE, Hochhalter JD, Veilleux MG, et al. (2008) A geometric approach to modeling microstructurally small fatigue crack formation: I. Probabilistic simulation of constituent particle cracking in AA 7075-T651 Modelling and Simulation in Materials Science and Engineering. 16 |