A Comparison of Statistically Equivalent and Realistic Microstructural Representative Volume Elements for Crystal Plasticity Models
Source abstract
Abstract
Abstract Two methods used to construct a microstructural representative volume element (RVE) were evaluated for their accuracy when used in a crystal plasticity-based finite element (CP-FE) model. The RVE-based CP-FE model has been shown to accurately predict the complete tensile stress–strain response of a Ti–6Al–4V alloy manufactured by laser powder bed fusion. Each method utilized a different image-based technique to create a three-dimensional (3D) RVE from electron backscatter diffraction (EBSD) images. The first method, referred to as the realistic RVE (R-RVE), reconstructed a physical 3D microstructure of the alloy from a series of parallel EBSD images obtained using serial-sectioning (or slicing). The second method captures key information from three orthogonal EBSD images to create a statistically equivalent microstructural RVE (SERVE). Based on the R-RVEs and SERVEs, the CP-FE model was then used to predict the complete tensile stress–strain response of the alloy, including the post-necking damage progression. The accuracy of the predicted stress–strain responses using the R-RVEs and SERVEs was assessed, including the effects of each microstructure descriptor. The results show that the R-RVE and the SERVE offer comparable accuracy for the CP-FE purposes of this study.
Source: crossref · Quality: baseline
Research context
OpenAlex topics: Titanium Alloys Microstructure and Properties · Microstructure and mechanical properties · Metallurgy and Material Forming
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
References (45)
Show source-provided references
1. Azhari F et al (2022) Predicting the complete tensile properties of additively manufactured Ti-6Al-4V by integrating three-dimensional microstructure statistics with a crystal plasticity model. Int J Plast 148:10312710.1016/j.ijplas.2021.103127 ↗
2. Dawson PR, Boyce DE (2015) FEpX—finite element polycrystals: theory, finite element formulation, numerical implementation and illustrative examples. arXiv:1504.03296
3. Shahba A, Ghosh S (2016) Crystal plasticity FE modeling of Ti alloys for a range of strain-rates: Part I: A unified constitutive model and flow rule. Int J Plast 87:48–6810.1016/j.ijplas.2016.09.002 ↗
4. Ghosh S et al (2016) Crystal plasticity FE modeling of Ti alloys for a range of strain-rates: part II: Image-based model with experimental validation. Int J Plast 87:69–8510.1016/j.ijplas.2016.09.003 ↗
5. Goh C-H, Neu RW, McDowell DL (2003) Crystallographic plasticity in fretting of Ti–6AL–4V. Int J Plast 19(10):1627–165010.1016/S0749-6419(02)00039-6 ↗
6. Mayeur JR, McDowell DL (2007) A three-dimensional crystal plasticity model for duplex Ti–6Al–4V. Int J Plast 23(9):1457–148510.1016/j.ijplas.2006.11.006 ↗
7. Mayeur JR, McDowell DL, Neu RW (2008) Crystal plasticity simulations of fretting of Ti-6Al-4V in partial slip regime considering effects of texture. Comput Mater Sci 41(3):356–36510.1016/j.commatsci.2007.04.020 ↗
8. Zhang M, Zhang J, McDowell DL (2007) Microstructure-based crystal plasticity modeling of cyclic deformation of Ti–6Al–4V. Int J Plast 23(8):1328–134810.1016/j.ijplas.2006.11.009 ↗
9. Moore JA, et al (2017) Crystal plasticity modeling ofβphase deformation in Ti-6Al-4V. Model Simul Mater Sci Eng 25(7):07500710.1088/1361-651X/aa841c ↗
10. Kasemer M, Quey R, Dawson P (2017) The influence of mechanical constraints introduced by β annealed microstructures on the yield strength and ductility of Ti-6Al-4V. J Mech Phys Solids 103:179–19810.1016/j.jmps.2017.03.013 ↗
11. Stopka KS, McDowell DL (2020) Microstructure-sensitive computational multiaxial fatigue of Al 7075-T6 and duplex Ti-6Al-4V. Int J Fatigue 133:10546010.1016/j.ijfatigue.2019.105460 ↗
12. Xiong Y et al (2020) Cold creep of titanium: Analysis of stress relaxation using synchrotron diffraction and crystal plasticity simulations. Acta Mater 199:561–57710.1016/j.actamat.2020.08.010 ↗
13. Zhang J, et al (2020) A multi-scale MCCPFEM framework: modeling of thermal interface grooving and deformation anisotropy of titanium alloy with lamellar colony. Int J Plast 135:10280410.1016/j.ijplas.2020.102804 ↗
14. Kapoor K et al (2018) Incorporating grain-level residual stresses and validating a crystal plasticity model of a two-phase Ti-6Al-4V alloy produced via additive manufacturing. J Mech Phys Solids 121:447–46210.1016/j.jmps.2018.07.025 ↗
15. Hu D, et al (2020) An anisotropic mesoscale model of fatigue failure in a titanium alloy containing duplex microstructure and hard α inclusions. Mater Des 193:10884410.1016/j.matdes.2020.108844 ↗
16. Asim UB, Siddiq MA, Kartal ME (2019) Representative volume element (RVE) based crystal plasticity study of void growth on phase boundary in titanium alloys. Comput Mater Sci 161:346–35010.1016/j.commatsci.2019.02.005 ↗
17. Asim UB, Siddiq MA, Kartal ME (2019) A CPFEM based study to understand the void growth in high strength dual-phase titanium alloy (Ti-10V-2Fe-3Al). Int J Plast 122:188–21110.1016/j.ijplas.2019.07.002 ↗
18. Liu J et al (2018) A three-dimensional multi-scale polycrystalline plasticity model coupled with damage for pure Ti with harmonic structure design. Int J Plast 100:192–20710.1016/j.ijplas.2017.10.006 ↗
19. Ozturk D et al (2019) Two-way multi-scaling for predicting fatigue crack nucleation in titanium alloys using parametrically homogenized constitutive models. J Mech Phys Solids 128:181–20710.1016/j.jmps.2019.04.009 ↗
20. Kotha S, Ozturk D, Ghosh S (2019) Parametrically homogenized constitutive models (PHCMs) from micromechanical crystal plasticity FE simulations, part I: sensitivity analysis and parameter identification for Titanium alloys. Int J Plast 120:296–31910.1016/j.ijplas.2019.05.008 ↗
21. Kotha S, Ozturk D, Ghosh S (2019) Parametrically homogenized constitutive models (PHCMs) from micromechanical crystal plasticity FE simulations: part II: Thermo-elasto-plastic model with experimental validation for titanium alloys. Int J Plast 120:320–33910.1016/j.ijplas.2019.05.007 ↗
22. Kale C et al (2019) Oxygen effects on crystal plasticity of Titanium: A multiscale calibration and validation framework. Acta Mater 176:19–3210.1016/j.actamat.2019.06.040 ↗
23. Wang X et al (2019) A 3D crystal plasticity model of monotonic and cyclic simple shear deformation for commercial-purity polycrystalline Ti with a harmonic structure. Mech Mater 128:117–12810.1016/j.mechmat.2018.10.006 ↗
24. Chatterjee K et al (2018) Prediction of tensile stiffness and strength of Ti-6Al-4V using instantiated volume elements and crystal plasticity. Acta Mater 157:21–3210.1016/j.actamat.2018.07.011 ↗
25. Kasemer M et al (2017) On slip initiation in equiaxed α/β Ti-6Al-4V. Acta Mater 136:288–30210.1016/j.actamat.2017.06.059 ↗
26. Bažant ZP, Oh BH (1983) Crack band theory for fracture of concrete. Matériaux et Construction 16(3):155–17710.1007/BF02486267 ↗
27. Swaminathan S, Ghosh S, Pagano NJ (2005) Statistically equivalent representative volume elements for unidirectional composite microstructures: part I - without damage. J Compos Mater 40(7):583–60410.1177/0021998305055273 ↗
28. Groeber M et al (2008) A framework for automated analysis and simulation of 3D polycrystalline microstructures. Part 2: Synthetic structure generation. Acta Mater 56(6):1274–128710.1016/j.actamat.2007.11.040 ↗
29. Bagri A et al (2018) Microstructure and property-based statistically equivalent representative volume elements for polycrystalline Ni-based superalloys containing annealing twins. Metall Mater Trans A 49(11):5727–574410.1007/s11661-018-4858-y ↗
30. Tucker JC et al (2012) Comparison of grain size distributions in a Ni-based superalloy in three and two dimensions using the Saltykov method. Scripta Mater 66(8):554–55710.1016/j.scriptamat.2012.01.001 ↗
31. Lognormal distribution In: Statistical Distributions. pp 131–134 (2010)10.1002/9780470627242.ch29 ↗
32. Hutchinson JW (1976) Bounds and self-consistent estimates for creep of polycrystalline materials. Proc R Soc Lond Ser A Math Phys Sci 348(1652):101–12710.1098/rspa.1976.0027 ↗
33. Roters F et al (2010) Overview of constitutive laws, kinematics, homogenization and multiscale methods in crystal plasticity finite-element modeling: Theory, experiments, applications. Acta Mater 58(4):1152–121110.1016/j.actamat.2009.10.058 ↗
34. Peirce D, Asaro RJ, Needleman A (1983) Material rate dependence and localized deformation in crystalline solids. Acta Metall 31(12):1951–197610.1016/0001-6160(83)90014-7 ↗
35. Asaro RJ (1983) Crystal Plasticity. J Appl Mech 50(4b):921–93410.1115/1.3167205 ↗
36. Smith WF, Hashemi J (2005) Foundations of materials science and engineering. McGraw-Hill, Boston
37. Kim J-B, Yoon JW (2015) Necking behavior of AA 6022–T4 based on the crystal plasticity and damage models. Int J Plast 73:3–2310.1016/j.ijplas.2015.06.013 ↗
38. Huang Y (1991) A user-material subroutine incorporating single crystal plasticity in the ABAQUS finite element program. Division of Applied Sciences, Harvard University
39. ABAQUS/Standard (2017) Dassault Systèmes Simulia Corp.
40. Verma RK, Biswas P (2016) Crystal plasticity-based modelling of grain size effects in dual phase steel. Mater Sci Technol 32(15):1553–155810.1080/02670836.2015.1131959 ↗
41. Naderi M et al (2016) Prediction of fatigue crack nucleation life in polycrystalline AA7075-T651 using energy approach. Fatigue Fract Eng Mater Struct 39(2):167–17910.1111/ffe.12346 ↗
42. Kashinga RJ et al (2017) Low cycle fatigue of a directionally solidified nickel-based superalloy: testing, characterisation and modelling. Mater Sci Eng, A 708:503–51310.1016/j.msea.2017.10.024 ↗
43. Nye JF (1972) Physical properties of crystals: their representation by tensors and matrices. Clarendon Press
44. Abbassi F et al (2015) FE simulation and full-field strain measurements to evaluate the necking phenomena. Procedia Manufacturing 2:500–50410.1016/j.promfg.2015.07.086 ↗
45. Dutoit SHC (2012) Graphical exploratory data analysis. Springer