Article: Banco, D; Miller, E; Miller, MP; Beaudoin, A; “Sparse Modeling of Space- and Time-Varying Diffraction Response of a Progressively Loaded Aluminum Alloy”, Materials Characterization, 145: 713-723
High energy X-ray diffraction data collected in situ during loading experiments permits probing of the crystal structure of a plastically deforming material sample. An elastoplastic deformation is associated with heterogeneity in both crystal orientation and lattice spacing each manifesting as azimuthal broadening and radial broadening of diffraction peaks respectively. Quantifying the spreading effect is challenging, especially in cases where the sample has a granularity between that of a single crystal and fine grain or powder material. The approach developed in this paper begins by modeling the intensity signal in the vicinity of a Debye-Scherrer ring as a sparse, nonnegative superposition of Gaussian basis functions drawn from an over-complete dictionary. Processing automatically selects from the dictionary basis functions whose widths and amplitudes are representative of the data. The chosen basis functions are used to compute scalar measures of radial and azimuthal broadening for the set of diffraction peaks composing a Debye-Scherrer ring. To demonstrate the utility of the approach, we show that analysis of diffraction peak shape information from an aluminum alloy 7075 T651
(AA7075 T651) sample provides insight into the origin of material state that would have otherwise have been difficult if not impossible to extract using conventional methods. Furthermore, the extracted information revealed a deformation response linked to the processing history of the sample.
Funding Acknowledgement: National Science Foundation under NSF [DMR-1332208, 1462387]
Funding Text: This work was supported by the National Science Foundation under NSF Grant 1462387 and based upon research conducted at the Cornell High Energy Synchrotron Source (CHESS), which is supported by the National Science Foundation under NSF award DMR-1332208. Special acknowledgement to Kenny Swartz for the experimental data (master’s thesis available at http://hdl.handle.net/2142/95405).