A concise review of Ti64 nanoindentation and CPFEM modelling approaches

Abstract Ti–6Al–4V’s dual-phase ( $$\upalpha +\upbeta $$ <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"> <mml:mrow> <mml:mi>α</mml:mi> <mml:mo>+</mml:mo> <mml:mi>β</mml:mi> </mml:mrow> </mml:math> ) microstructure yields local mechanical behaviors that conventional tests cannot fully resolve. Instrumented nanoindentation delivers spatially resolved hardness, modulus, and creep at micron scales, while crystal plasticity finite-element modeling (CPFEM) translates these data into slip-system insights and component-scale predictions. This review unifies three decades of work on Ti64 nanoindentation and CPFEM, covering fundamental alloy chemistry and microstructures (equiaxed, bimodal, lamellar), advanced indentation protocols (continuous stiffness, spherical tips, high-throughput mapping), and CPFEM developments from phenomenological yield laws to gradient-enhanced, multi-phase simulations reproducing orientation-dependent responses. We spotlight four persisting challenges: defining representative volume elements, capturing size effects via length-scale physics, modeling $$\upalpha /\upbeta $$ <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"> <mml:mrow> <mml:mi>α</mml:mi> <mml:mo>/</mml:mo> <mml:mi>β</mml:mi> </mml:mrow> </mml:math> interfacial constraints and Burgers orientation relationships, and managing experimental scatter for robust parameter inversion. We also survey emerging solutions—dense indent grids, in situ lattice-strain validation, and machine-learning-driven calibration—as pathways toward predictive, microstructure-sensitive design of Ti64 components. Graphical abstract

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Publication Details

Journal
Journal of materials research/Pratt's guide to venture capital sources
Published
2025-12-08
DOI
https://doi.org/10.1557/s43578-025-01740-2
Citations
2
Primary Topic
Metal and Thin Film Mechanics
Type
article
Field-Weighted Citation Impact
1.73

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article

A concise review of Ti64 nanoindentation and CPFEM modelling approaches

Dalong Zhang, Garritt J. Tucker, Abdullah Akib
2 citations
Journal of materials research/Pratt's guide to venture capital sources
Metal and Thin Film Mechanics
1.73
article

A concise review of Ti64 nanoindentation and CPFEM modelling approaches

Dalong Zhang, Garritt J. Tucker, Abdullah Akib
article en
2 citations

Abstract

Abstract Ti–6Al–4V’s dual-phase ( $$\upalpha +\upbeta $$ <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"> <mml:mrow> <mml:mi>α</mml:mi> <mml:mo>+</mml:mo> <mml:mi>β</mml:mi> </mml:mrow> </mml:math> ) microstructure yields local mechanical behaviors that conventional tests cannot fully resolve. Instrumented nanoindentation delivers spatially resolved hardness, modulus, and creep at micron scales, while crystal plasticity finite-element modeling (CPFEM) translates these data into slip-system insights and component-scale predictions. This review unifies three decades of work on Ti64 nanoindentation and CPFEM, covering fundamental alloy chemistry and microstructures (equiaxed, bimodal, lamellar), advanced indentation protocols (continuous stiffness, spherical tips, high-throughput mapping), and CPFEM developments from phenomenological yield laws to gradient-enhanced, multi-phase simulations reproducing orientation-dependent responses. We spotlight four persisting challenges: defining representative volume elements, capturing size effects via length-scale physics, modeling $$\upalpha /\upbeta $$ <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"> <mml:mrow> <mml:mi>α</mml:mi> <mml:mo>/</mml:mo> <mml:mi>β</mml:mi> </mml:mrow> </mml:math> interfacial constraints and Burgers orientation relationships, and managing experimental scatter for robust parameter inversion. We also survey emerging solutions—dense indent grids, in situ lattice-strain validation, and machine-learning-driven calibration—as pathways toward predictive, microstructure-sensitive design of Ti64 components. Graphical abstract

Journal of materials research/Pratt's guide to venture capital sourcesVol. 41(1)
Baylor University (US)
U.S. Department of Energy, Baylor University, Advanced Research Projects Agency - Energy, Advanced Research Projects Agency, Fusion Energy Sciences, Oak Ridge National Laboratory, Pacific Northwest National Laboratory
Openalex Percentile: Top 14%
Metal and Thin Film Mechanics
1.73
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