journal article·2020-02Open access

Assessment of surface and bulk-dominated methodologies to measure critical resolved shear stresses in hexagonal materials

Aritra Chakraborty, Chen Zhang, Shanoob Balachandran, Thomas R. Bieler, Philip Eisenlohr

Acta Materialia· Volume 184

Abstract

Abstract Crystallographic slip in hexagonal metals involves a number of geometrically distinct slip families characterized by their slip direction and slip plane (basal, prismatic, and pyramidal). Owing to the low symmetry of hexagonal lattices, each of these slip families only have a few symmetrically equivalent slip systems (family members). Furthermore, different slip families become active at different resolved shear stress, i.e., they have different critical resolved shear stress values (CRSS). The plastic anisotropy of hexagonal materials makes the numerical prediction of their plastic behavior challenging and depends critically on the knowledge of CRSS values. The present contribution assesses the reliability of three proposed methods (with additional variations) to quantify CRSS values of the different hexagonal slip families. Those methods (a to c) rely on: (a) the statistics of observed surface slip traces in a (slightly) deformed polycrystal; (b) an iterative adjustment of CRSS values until a simulated single crystal indentation matches the corresponding experiment in terms of load–displacement response and residual surface topography of the indent; (c) in-situ high-energy X-ray diffraction to measure the evolution of resolved stress (from lattice strains) in grains for which single-family slip is probable based upon specific lattice reorientation conditions. Virtual experiments are performed on synthetic microstructures such that the (extracted) CRSS values resulting from simulating the different methodologies can be rigorously compared against the (target) CRSS values that are installed in the phenomenological constitutive material description used in the simulations. The resulting CRSS values of methods (a) exhibit a strong dependence on, and deterioration with, decreasing level of slip trace observability, which is an uncertain quantity in experimental measurements. For the inverse indentation method (b), the predicted CRSS values are within 8 % of their reference CRSS values for the two investigated cases. The high-energy X-ray diffraction method (c) most reliably determines CRSS values for basal and prism slip, but lacks a strict grain selection criterion to assess pyramidal slip.
Source: openaire · Quality: candidate unverified · Source record ↗

Research context

OpenAlex topics: Microstructure and mechanical properties · Metal and Thin Film Mechanics · Advanced ceramic materials synthesis

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

References (41)

Show source-provided references
1. Creep and plasticity of hexagonal polycrystals as related to single crystal slip10.1007/BF02642860 ↗
2. A three-dimensional crystal plasticity model for duplex Ti–6Al–4V10.1016/j.ijplas.2006.11.006 ↗
3. The role of heterogeneous deformation on damage nucleation at grain boundaries in single phase metals10.1016/j.ijplas.2008.09.002 ↗
4. Simulation of slip band evolution in duplex Ti–6Al–4V10.1016/j.actamat.2009.10.025 ↗
5. Quantitative atomic force microscopy characterization and crystal plasticity finite element modeling of heterogeneous deformation in commercial purity titanium10.1007/s11661-010-0475-0 ↗
6. Experimental characterization and crystal plasticity modeling of heterogeneous deformation in polycrystalline α-Ti10.1007/s11661-010-0249-8 ↗
7. A crystal plasticity FE model for deformation with twin nucleation in magnesium alloys10.1016/j.ijplas.2014.10.005 ↗
8. A crystal-plasticity FEM study on effects of simplified grain representation and mesh types on mesoscopic plasticity heterogeneities10.1016/j.msea.2012.05.089 ↗
9. Combination of in-situ SEM tensile test and FFT-based crystal elasticity simulations of Ti-6Al-4V for an improved description of the onset of plastic slip10.1016/j.mechmat.2017.03.013 ↗
10. Effect of realistic 3D microstructure in crystal plasticity finite element analysis of polycrystalline Ti-5Al-2.5Sn10.1016/j.ijplas.2015.01.003 ↗
11. Crystal plasticity analysis of the deformation of a grade 2 CP-Ti oligocrystal10.1088/1742-6596/1063/1/012048 ↗
12. Methodology for estimating the critical resolved shear stress ratios of α-phase Ti using EBSD-based trace analysis10.1016/j.actamat.2013.08.042 ↗
13. Plastic anisotropy of γ-TiAl revealed by axisymmetric indentation10.1016/j.actamat.2010.02.025 ↗
14. Orientation informed nanoindentation of α-titanium: indentation pileup in hexagonal metals deforming by prismatic slip10.1557/jmr.2011.334 ↗
15. An inverse optimization strategy to determine single crystal mechanical behavior from polycrystal tests: application to AZ31 Mg alloy10.1016/j.ijplas.2014.02.001 ↗
16. Modeling slip system strength evolution in Ti-7Al informed by in-situ grain stress measurements10.1016/j.actamat.2017.02.042 ↗
17. Measuring Ti-7Al slip system strengths at elevated temperature using high-energy X-ray diffraction10.1016/j.scriptamat.2017.08.029 ↗
18. Direct measurement of critical resolved shear stress of prismatic and basal slip in polycrystalline Ti using high energy X-ray diffraction microscopy10.1016/j.actamat.2017.05.015 ↗
19. Modeling bending of α-titanium with embedded polycrystal plasticity in implicit finite elements10.1016/j.msea.2012.11.037 ↗
20. Strain hardening due to deformation twinning in α-titanium: constitutive relations and crystal-plasticity modeling10.1016/j.actamat.2005.04.014 ↗
21. Prediction of crystallographic texture evolution and anisotropic stress–strain curves during large plastic strains in high purity α-titanium using a Taylor-type crystal plasticity model10.1016/j.actamat.2006.08.034 ↗
22. Lattice strain evolution during tensile and compressive loading of CP Ti10.1016/j.actamat.2012.08.042 ↗
23. A microcantilever investigation of size effect, solid-solution strengthening and second-phase strengthening for < a > prism slip in α-Ti10.1016/j.actamat.2011.06.005 ↗
24. Micro-cantilever testing of < a > prismatic slip in commercially pure Ti10.1080/14786435.2010.495359 ↗
25. A study of active deformation systems in titanium alloys: dependence on alloy composition and correlation with deformation texture10.1016/S0921-5093(02)00421-5 ↗
26. Micromechanical modeling of hardening mechanisms in commercially pure α-titanium in tensile condition10.1016/j.ijplas.2015.09.008 ↗
27. Experimental and theoretical studies of intergranular strain in an alpha titanium alloy during plastic deformation10.1016/j.actamat.2013.06.022 ↗
28. In situ monitoring of the deformation mechanisms in titanium with different oxygen contents10.1016/j.msea.2015.03.044 ↗
29. Classification of the critical resolved shear stress in the hexagonal-close-packed materials by atomic simulation: application to α-zirconium and α-titanium10.1063/1.3599870 ↗
30. Effective values of critical resolved shear stress for slip in polycrystalline magnesium and other HCP metals10.1016/j.scriptamat.2010.05.047 ↗
31. DAMASK – The Düsseldorf Advanced Material Simulation Kit for modelling multi-physics crystal plasticity, damage, and thermal phenomena from the single crystal up to the component scale10.1016/j.commatsci.2018.04.030 ↗
32. Elastic-plastic deformation at finite strains10.1115/1.3564580 ↗
33. An analysis of nonuniform and localized deformation in ductile single crystals10.1016/0001-6160(82)90005-0 ↗
34. Bounds and self-consistent estimates for creep of polycrystalline materials
35. Numerically robust spectral methods for crystal plasticity simulations of heterogeneous materials10.1016/j.ijplas.2014.02.006 ↗
36. A spectral method solution to crystal elasto-viscoplasticity at finite strains10.1016/j.ijplas.2012.09.012 ↗
37. Particle swarm optimization
38. A simplex method for function minimization10.1093/comjnl/7.4.308 ↗
39. Evaluation of an inverse methodology for estimating constitutive parameters in face-centered cubic materials from single crystal indentations10.1016/j.euromechsol.2017.06.012 ↗
40. Particle swarm optimization: developments, applications and resources
41. Factorial sampling plans for preliminary computational experiments10.1080/00401706.1991.10484804 ↗