journal article·2024-10Open access

Investigating grain-resolved evolution of lattice strains during plasticity and creep using 3DXRD and crystal plasticity modelling

Farhan Ashraf, Ranggi S. Ramadhan, Abdullah Al Mamun, James A.D. Ball, Eralp Demir, Thomas Connolley, David M. Collins, Mahmoud Mostafavi, David Knowles

Acta Materialia· Volume 278

Abstract

Microstructure-informed crystal plasticity finite element models have shown great promise in predicting plastic and creep deformation in polycrystalline materials. These models can provide substantial insight into the design, fabrication and lifetime assessment of critical metallic components during operation, for instance, in thermal power plants. However, to correctly incorporate damage prediction into models, the microstructural strain simulated at the grain level must be accurately predicted with suitable validation. For this reason, a 3D X-ray Diffraction (3DXRD) experiment was carried out on 316H stainless steel, a material commonly used in thermal power plants, to obtain the per-grain strain response during plastic and creep deformation at 550°C. Several hundred grains within a probed X-ray volume were tracked and measured whilst loading in-situ, obtaining per-grain centre-of-mass positions, crystallographic orientations, and average lattice strain over individual grains. These data were used to calibrate a crystal plasticity model to study the plastic and creep deformation using macroscopic stress-strain and stress-relaxation data. Subsequently, the model was used to predict the average elastic strain in different grains during the cyclic creep experiment, which was validated by 3DXRD datasets. The model results reveal that {100} or {311} grain families are strongly sensitive to microstructure, thereby a polycrystal model that describes specific orientation and neighbourhood characteristics is essential to predict the local response of these grain families. Whereas, self-consistent models are suitable for {110} and {111} grain families. This study shows that only with a suitable calibration of subsurface grain behaviour, crystal plasticity models reveal grain characteristic-dependent micromechanical behaviour.
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Research context

OpenAlex topics: Microstructure and Mechanical Properties of Steels · Microstructure and mechanical properties · Hydrogen embrittlement and corrosion behaviors in metals

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

References (61)

Show source-provided references
1. SINDRI Partnership, (2021). https://www.sindri-partnership.ac.uk/.
2. Dunne · 2005
3. A review of the effect of prior inelastic deformation on high temperature mechanical response of engineering alloys10.1016/j.ijpvp.2010.07.010 ↗
4. Quantifying internal stress and internal resistance associated with thermal ageing and creep in a polycrystalline material10.1016/j.actamat.2013.12.027 ↗
5. Microstructure-informed, predictive crystal plasticity finite element model of fatigue-dwells10.1016/j.commatsci.2020.109823 ↗
6. The effects of internal stresses on the creep deformation investigated using in-situ synchrotron diffraction and crystal plasticity modelling10.1016/j.ijsolstr.2021.111127 ↗
7. Study of 3-D stress development in parent and twin pairs of a hexagonal close-packed polycrystal: Part II – crystal plasticity finite element modeling10.1016/j.actamat.2015.04.025 ↗
8. Deformation compatibility in a single crystalline Ni superalloy
9. A comparative assessment of iron and cobalt-based hard-facing alloy deformation using HR-EBSD and HR-DIC10.1016/j.actamat.2018.08.021 ↗
10. High-resolution digital image correlation study of the strain localization during loading of a shot-peened RR1000 nickel-based superalloy10.1016/j.actamat.2021.117306 ↗
11. The three dimensional X-ray diffraction technique10.1016/j.matchar.2012.07.012 ↗
12. Direct determination of elastic strains and dislocation densities in individual subgrains in deformation structures10.1016/j.actamat.2007.01.049 ↗
13. An introduction to three-dimensional X-ray diffraction microscopy10.1107/S0021889812039143 ↗
14. In situ measurement of grain rotation during deformation of polycrystals10.1126/science.1057956 ↗
15. Evolution of stress in individual grains and twins in a magnesium alloy aggregate10.1103/PhysRevB.80.024113 ↗
16. Study of 3-D stress development in parent and twin pairs of a hexagonal close-packed polycrystal: Part I – in-situ three-dimensional synchrotron X-ray diffraction measurement10.1016/j.actamat.2015.04.020 ↗
17. Measured resolved shear stresses and Bishop-Hill stress states in individual grains of austenitic stainless steel10.1016/j.actamat.2017.09.021 ↗
18. Intra-grain orientation distributions in deformed aluminium: Synchrotron X-ray diffraction experiment and crystal-plasticity finite-element simulation10.1016/j.actamat.2023.119419 ↗
19. Determining grain resolved stresses in polycrystalline materials using three-dimensional X-ray diffraction10.1107/S0021889810012963 ↗
20. “ASTM A479 /A479M-17, Standard Specification for Stainless Steel Bars and Shapes for Use in Boilers and Other Pressure Vessels,” West Conshohocken, PA, 2017.
21. M. Drakopoulos, T. Connolley, C. Reinhard, R. Atwood, O. Magdysyuk, N. Vo, M. Hart, L. Connor, B. Humphreys, G. Howell, S. Davies, T. Hill, G. Wilkin, U. Pedersen, A. Foster, N. De Maio, M. Basham, F. Yuan, K. Wanelik, I12: the Joint Engineering, Environment and Processing (JEEP) beamline at Diamond Light Source, Urn:Issn:1600-5775. 22 (2015) 828–838. https://doi.org/10.1107/S1600577515003513.10.1107/S1600577515003513 ↗
22. J. Wright, FABLE-3DXRD/ImageD11, (2020). https://github.com/FABLE-3DXRD/ImageD11.
23. Revealing per-grain and neighbourhood stress interactions of a deforming ferritic steel via three-dimensional X-ray diffraction10.1038/s43246-024-00466-8 ↗
24. “University of BRIstol cryStal plasTicity sOLver” (BRISTOL), (2021). https://github.com/smrg-uob.
25. Overview no. 42 Texture development and strain hardening in rate dependent polycrystals10.1016/0001-6160(85)90188-9 ↗
26. The effect of irradiation on diffusion controlled creep processes10.1016/0022-3115(73)90164-5 ↗
27. Linking phase-field and finite-element modeling for process–structure–property relations of a Ni-base superalloy10.1016/j.actamat.2012.06.058 ↗
28. Creep, plasticity, and fatigue of single crystal superalloy10.1016/j.ijsolstr.2011.03.011 ↗
29. Modelling of thermomechanical fatigue stress relaxation in a single-crystal nickel-base superalloy10.1016/j.commatsci.2014.04.009 ↗
30. Modeling the mechanical response of polycrystals deforming by climb and glide10.1080/14786430903213320 ↗
31. Plastic strain in metals
32. An analysis of nonuniform and localized deformation in ductile single crystals10.1016/0001-6160(82)90005-0 ↗
33. Evans · 1993
34. The effect of cyclic-loading generated intergranular strains on the creep deformation of a polycrystalline material10.1016/j.mtla.2019.100385 ↗
35. Cyclic deformation response of AISI 316L at room temperature: Mechanical behaviour, microstructural evolution, physically-based evolutionary constitutive modelling10.1016/j.ijplas.2013.01.017 ↗
36. On the evaluation of the Bauschinger effect in an austenitic stainless steel—The role of multi-scale residual stresses10.1016/j.ijplas.2016.05.009 ↗
37. A Mathematical Representation of the Multiaxial Bauschinger Effect
38. Cyclic plasticity experiments and polycrystal plasticity modeling of three distinct Ti alloy microstructures10.1016/j.ijplas.2013.10.004 ↗
39. Modeling effects of dislocation substructure in polycrystal elastoviscoplasticity10.1016/S0167-6636(97)00037-9 ↗
40. Multiscale polycrystal plasticity10.1115/1.2812367 ↗
41. History and temperature dependent cyclic crystal plasticity model with material-invariant parameters10.1016/j.ijplas.2022.103494 ↗
42. Analytical modelling of intragranular backstresses due to deformation induced dislocation microstructures10.1016/j.ijplas.2007.07.004 ↗
43. Non-local large-strain FFT-based formulation and its application to interface-dominated plasticity of nano-metallic laminates10.1016/j.jmps.2022.105187 ↗
44. ABAQUS, FEM Software V2018, (2018).
45. DREAM.3D: A Digital Representation Environment for the Analysis of Microstructure in 3D10.1186/2193-9772-3-5 ↗
46. The strain rate sensitivity exponent and the strain hardening exponent of as-cast TC21 titanium alloy in β single-phase region10.1088/2053-1591/ab513f ↗
47. A crystal plasticity model that accounts for grain size effects and slip system interactions on the deformation of austenitic stainless steels10.1016/j.ijplas.2022.103249 ↗
48. Investigation into the Effects of Prior Plasticity on Creep Accumulation in 316H Stainless Steel
49. Taylor · 2022
50. Microstructure-sensitive modeling of polycrystalline IN 10010.1016/j.ijplas.2008.01.001 ↗
51. Thermomechanical Fatigue Behavior of a Directionally Solidified Ni-Base Superalloy10.1115/1.1924560 ↗
52. Influence of Microstructure on Synchrotron X-ray Diffraction Lattice Strain Measurement Uncertainty
53. The inclusion and role of micro mechanical residual stress on deformation of stainless steel type 316L at grain level10.1016/j.msea.2023.145096 ↗
54. Large-scale 3D random polycrystals for the finite element method: Generation, meshing and remeshing10.1016/j.cma.2011.01.002 ↗
55. Random Laguerre Tessellations10.1239/aap/1222868179 ↗
56. Realistic nano-polycrystalline microstructures: beyond the classical Voronoi tessellation10.1080/14786435.2011.637984 ↗
57. Topological and statistical properties of a constrained Voronoi tessellation10.1080/14786430802647065 ↗
58. Grain size and shape dependent crystal plasticity finite element model and its application to electron beam welded SS316L10.1016/j.jmps.2023.105331 ↗
59. Coupling a discrete twin model with cohesive elements to understand twin-induced fracture10.1007/s10704-020-00504-9 ↗
60. A controlled Poisson Voronoi tessellation for grain and cohesive boundary generation applied to crystal plasticity analysis10.1016/j.commatsci.2012.02.022 ↗
61. Strain gradient crystal plasticity modelling of size effects in a hierarchical martensitic steel using the Voronoi tessellation method10.1016/j.ijplas.2019.03.009 ↗