3D electron backscatter diffraction study of α lath morphology in additively manufactured Ti-6Al-4V

DeMott, Ryan; Collins, Peter C.; Kong, Charlie; Liao, Xiaozhou; Ringer, Simon P.; Primig, Sophie

doi:10.1016/j.ultramic.2020.113073

Cited by 29 publications

(16 citation statements)

References 34 publications

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“…The 3D-EBSD from the linear scan (Fig. 2a) is the same dataset as published previously in our feasibility study [60], with new analyses results and comparison to other microstructures presented here. 3D-EBSD was carried out using block face serial sectioning in a Thermo Fisher Helios Xe ?…”

Section: D-ebsdmentioning

confidence: 88%

“…Dashed lines represent prior b grain boundaries. The linear dataset (a, b) is the same data presented in [60] with new analyses and comparison to the other scan strategies presented here.…”

Section: D-ebsdmentioning

confidence: 99%

“…Thus, sectioning effects may not be eliminated by sampling multiple prior b grains [2,3]. While there has been 3D characterization of titanium alloy microstructures using a variety of techniques [25,[46][47][48][49][50][51][52][53][54][55][56][57][58], recent advancements in serial sectioning using plasma focused ion beam (FIB) have allowed for 3D electron backscatter diffraction (EBSD) to be collected over larger volumes with higher resolution than previously attained [59,60]. This represents an improvement over previous 3D investigations, which often did not include orientation data and only sampled a few a laths [47,51,56], or only characterized coarse features [25,57].…”

Section: Introductionmentioning

confidence: 99%

“…A preliminary report on the capability of 3D-EBSD to unveil the structure of a laths has been recently published by the authors [60]. A comprehensive 3D-EBSD study is presented here from three different samples produced by different scanning strategies in E-PBF.…”

Section: Introductionmentioning

confidence: 99%

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3D characterization of microstructural evolution and variant selection in additively manufactured Ti-6Al-4 V

et al. 2021

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Ti-6Al-4 V is a popular alloy in additive manufacturing (AM) due to its applications in the biomedical implants and aerospace industries where the complex part geometries allowed by AM provide cost and performance benefits. Ti-6Al-4 V goes through a b ? a' transformation after solidification which is known to experience variant selection, e.g., through the formation of clusters of variants which, when situated together, partially accommodate the strain of the phase transformation. During electron beam powder bed fusion AM, an in situ decomposition of a' martensite occurs during the cyclic reheating caused by melting successive layers, resulting in a ? b microstructures. How variant selection influences the evolution beyond the initial rapid cooling remains an open question. Using 3D electron backscatter diffraction, we provide a clearer understanding without ambiguity from sectioning effects of how a' decomposes into microstructures with distinct morphologies and variant/intervariant distributions. We extract quantitative 3D information on the various intervariant boundaries networks formed in samples printed using three different electron beam scanning strategies. This shows that differing mechanisms during the decomposition result in a shift from self-accommodating clusters in an acicular microstructure, to either the preferred growth of six variants in a basketweave microstructure, or to a colony microstructure where variant selection is determined by prior-b grain boundaries. We propose a new representation of the misorientations arising from the Burgers orientation relationship, which we refer to as intervariant network diagram, to reveal how variant selection during the martensitic transformation and subsequent decomposition leads to the intervariant boundary networks observed. This holistic understanding of the microstructural evolution has the potential to allow tailoring of microstructures and properties for specific applications.

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Section: D-ebsdmentioning

confidence: 88%

“…Dashed lines represent prior b grain boundaries. The linear dataset (a, b) is the same data presented in [60] with new analyses and comparison to the other scan strategies presented here.…”

Section: D-ebsdmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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3D characterization of microstructural evolution and variant selection in additively manufactured Ti-6Al-4 V

et al. 2021

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“…The relative fractions of these variants, which are determined by materials processing conditions, affect the overall texture of Ti alloys and therefore their mechanical properties [12,13]. A special type of HCP variant cluster arrangements can easily form to accommodate transformation strain [12,[14][15][16]. The boundaries between adjacent variants within each cluster are variant selection II (V2) boundaries [14] or 60°/ 1210 boundaries, i.e.…”

Section: Introductionmentioning

confidence: 99%

Introducing transformation twins in titanium alloys: an evolution of α-variants during additive manufacturing

Wang

Chao

Yang

et al. 2020

Materials Research Letters

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A Process-Structure-Property Simulation Framework for Quantifying Uncertainty in Additive Manufacturing: Application to Fatigue in Ti-6Al-4V

Pribe,

Richter,

Leser

et al. 2023

Integr Mater Manuf Innov

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3D electron backscatter diffraction study of α lath morphology in additively manufactured Ti-6Al-4V

Cited by 29 publications

References 34 publications

3D characterization of microstructural evolution and variant selection in additively manufactured Ti-6Al-4 V

3D characterization of microstructural evolution and variant selection in additively manufactured Ti-6Al-4 V

Introducing transformation twins in titanium alloys: an evolution of α-variants during additive manufacturing

A Process-Structure-Property Simulation Framework for Quantifying Uncertainty in Additive Manufacturing: Application to Fatigue in Ti-6Al-4V

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