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Hendriks, J.*; O'Dell, N.*; Wills, A.*; Tremsin, A.*; Wensrich, C.*; 篠原 武尚
Journal of Strain Analysis for Engineering Design, 56(6), p.371 - 385, 2021/08
被引用回数：4 パーセンタイル：32.01(Engineering, Mechanical)Energy resolved neutron transmission techniques can provide high-resolution images of strain within polycrystalline samples allowing the study of residual strain and stress in engineered components. Strain is estimated from such data by analysing features known as Bragg-edges for which several methods exist. It is important for these methods to provide both accurate estimates of strain and an accurate quantification the associated uncertainty. Our contribution is twofold. First, we present a numerical simulation analysis of these existing methods, which shows that the most accurate estimates of strain are provided by a method that provides inaccurate estimates of certainty. Second, a novel Bayesian non-parametric method for estimating strain from Bragg-edges is presented. The numerical simulation analysis indicates that this method provides both competitive estimates of strain and accurate quantification of certainty, two demonstrations on experimental data are then presented.
Hendriks, J. N.*; Gregg, A. W. T.*; Jackson, R. R.*; Wensrich, C. M.*; Wills, A.*; Tremsin, A. S.*; 篠原 武尚; Luzin, V.*; Kirstein, O.*
Physical Review Materials (Internet), 3(11), p.113803_1 - 113803_11, 2019/11
被引用回数：11 パーセンタイル：44.84(Materials Science, Multidisciplinary)This paper presents a proof-of-concept demonstration of triaxial strain tomography from Bragg-edge neutron imaging within a three-dimensional sample. Bragg-edge neutron transmission can provide high-resolution images of the average through thickness strain within a polycrystalline material. This poses an associated rich tomography problem which seeks to reconstruct the full triaxial strain field from these images. The presented demonstration is an important step toward solving this problem, and toward a technique capable of studying the residual strain and stress within engineering components. A Gaussian process based approach is used that ensures the reconstruction satisfies equilibrium and known boundary conditions.
