Estimating single-crystal elastic constants of polycrystalline β metastable titanium alloy: A Bayesian inference analysis based on high energy X-ray diffraction and micromechanical modeling

Purohit, Ravi Raj Purohit Purushottam Raj; Richeton, Thiebaud; Berbenni, Stéphane; Germain, Lionel; Gey, Nathalie; Connolley, Thomas; Castelnau, Olivier

doi:10.1016/j.actamat.2021.116762

Cited by 8 publications

(1 citation statement)

References 74 publications

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“…The position of the diffraction peak is then estimated from the 2 0 parameter. The displacement of the {110} peak is converted to the macroscopic normal stress along the specimen axis, noted , using a scale transition model (elastic self-consistent scheme) to compute the X-ray elastic constant (Noyan & Cohen, 1987;Vermeulen, 2001;Faurie et al, 2009;Purushottam Raj Purohit et al, 2021),…”

Section: Estimation Of the Mechanical Work Supplied To The Materials ...mentioning

confidence: 99%

Investigation of the mechanical work during ultrasonic fatigue loading using pulsed time-resolved X-ray diffraction

Jacquemain,

Cheuleu,

Ranc

et al. 2024

J Synchrotron Radiat

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In the energy production and transportation industries, numerous metallic structures may be subjected to at least several billions of cycles, i.e. loaded in the very high cycle fatigue domain (VHCF). Therefore, to design structures in the VHCF domain, a reliable methodology is necessary. One useful quantity to characterize plastic activity at the microscopic scale and fatigue damage evolution is the mechanical work supplied to a material. However, the estimation of this mechanical work in a metal during ultrasonic fatigue tests remains challenging. This paper aims to present an innovative methodology to quantify this. An experimental procedure was developed to estimate the mechanical work from stress and total strain evolution measurements during one loading cycle with a time accuracy of about 50 ns. This was achieved by conducting time-resolved X-ray diffraction coupled to strain gauge measurements at a synchrotron facility working in pulsed mode (single-bunch mode).

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Section: Estimation Of the Mechanical Work Supplied To The Materials ...mentioning

confidence: 99%

Investigation of the mechanical work during ultrasonic fatigue loading using pulsed time-resolved X-ray diffraction

Jacquemain,

Cheuleu,

Ranc

et al. 2024

J Synchrotron Radiat

Self Cite

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Phase Prediction in High Entropy Alloys by Various Machine Learning Modules Using Thermodynamic and Configurational Parameters

et al. 2022

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A Methodology for the Rapid Qualification of Additively Manufactured Materials Based on Pore Defect Structures

Stopka,

Desrosiers,

Andreaco

et al. 2024

Integr Mater Manuf Innov

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Additive manufacturing (AM) can create net or near-net-shaped components while simultaneously building the material microstructure, therefore closely coupling forming the material and shaping the part in contrast to traditional manufacturing with distinction between the two processes. While there are well-heralded benefits to AM, the widespread adoption of AM in fatigue-limited applications is hindered by defects such as porosity resulting from off-nominal process conditions. The vast number of AM process parameters and conditions make it challenging to capture variability in porosity that drives fatigue design allowables during qualification. Furthermore, geometric features such as overhangs and thin walls influence local heat conductivity and thereby impact local defects and microstructure. Consequently, qualifying AM material within parts in terms of material properties is not always a straightforward task. This article presents an approach for rapid qualification of AM fatigue-limited parts and includes three main aspects: (1) seeding pore defects of specific size, distribution, and morphology into AM specimens, (2) combining non-destructive and destructive techniques for material characterization and mechanical fatigue testing, and (3) conducting microstructure-based simulations of fatigue behavior resulting from specific pore defect and microstructure combinations. The proposed approach enables simulated data to be generated to validate and/or augment experimental fatigue data sets with the intent to reduce the number of tests needed and promote a more rapid route to AM material qualification. Additionally, this work suggests a closer coupling between material qualification and part certification for determining material properties at distinct regions within an AM part.

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Estimating single-crystal elastic constants of polycrystalline β metastable titanium alloy: A Bayesian inference analysis based on high energy X-ray diffraction and micromechanical modeling

Cited by 8 publications

References 74 publications

Investigation of the mechanical work during ultrasonic fatigue loading using pulsed time-resolved X-ray diffraction

Investigation of the mechanical work during ultrasonic fatigue loading using pulsed time-resolved X-ray diffraction

Phase Prediction in High Entropy Alloys by Various Machine Learning Modules Using Thermodynamic and Configurational Parameters

A Methodology for the Rapid Qualification of Additively Manufactured Materials Based on Pore Defect Structures

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