Creep anisotropy modeling and uncertainty quantification of an additively manufactured Ni-based superalloy

Fernandez-Zelaia, Patxi; Lee, Yousub; Dryepondt, Sebastien; Kirka, Michael

doi:10.1016/j.ijplas.2021.103177

Title: Creep anisotropy modeling and uncertainty quantification of an additively manufactured Ni-based superalloy

Journal Article · 01 January 2022 · International Journal of Plasticity

DOI: https://doi.org/10.1016/j.ijplas.2021.103177 · OSTI ID:1841501

Fernandez-Zelaia, Patxi ^[1];

^[2];

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Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States). Manufacturing Science Division
Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States). Computational Sciences and Engineering Division
Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States). Materials Science and Technology Division

The advantages offered by additive manufacturing over traditional processes has driven a great deal of industrial and academic interest in recent years. However, the process is relatively new and requires additional investigation to become sufficiently mature for wide scale industrial adoption. Electron beam melting powder bed fusion is one technology that has shown promise for fabricating high temperature resistant materials such as nickel based superalloys. The resulting microstructures typically exhibit a strong fiber texture in the build direction giving rise to anisotropic time-dependent deformation behavior. In order to accelerate the qualification of these materials for industrial adoption accurate numerical models are needed for simulating their behavior. In this work a crystal plasticity model including non-Schmid effects is presented for capturing creep anisotropy observed in additively manufactured IN738LC. The model is calibrated via a probabilistic framework where model parameters are treated as random variables. An iterative sequential design strategy is utilized to efficiently identify the probability density of the unknown model parameters. As a case study the model is utilized to investigate the behavior of randomly oriented equiaxed grain clusters sometimes observed embedded in the additively manufactured columnar structure. A synthetic realization is simulated and uncertainty is propagated through to the full-field response. Results indicate that these features are the source of significant creep relaxation and strain accumulation which partially explains observed grain boundary decohesion at these locations.

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Research Organization:: Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (United States)

Sponsoring Organization:: USDOE Office of Energy Efficiency and Renewable Energy (EERE)

Grant/Contract Number:: AC05-00OR22725

OSTI ID:: 1841501

Journal Information:: International Journal of Plasticity, Journal Name: International Journal of Plasticity Vol. 151; ISSN 0749-6419

Publisher:: ElsevierCopyright Statement

Country of Publication:: United States

Language:: English

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additive manufacturing
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uncertainty quanti cation

Title: Creep anisotropy modeling and uncertainty quantification of an additively manufactured Ni-based superalloy

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