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A dataset for the development, verification, and validation of microstructure-sensitive process models for near-alpha titanium alloys

  • Adam L. PilchakEmail author
  • Jared Shank
  • Joseph C. Tucker
  • Shesh Srivatsa
  • Patrick N. Fagin
  • S. Lee Semiatin
Data Descriptor

Abstract

Near-alpha titanium alloys are used for moderate-temperature applications in the early stages of the compressor in gas turbine engines. The quasi-static and fatigue properties of these alloys depend heavily on microstructure due to the absence of hard second phases and inclusions which can nucleate voids or cracks. Moreover, these alloys are known to exhibit a significant reduction in fatigue life when subjected to high mean stress or upon the application of dwell-fatigue cycles. Previous analysis has elucidated the microstructural features that drive these properties; the most important features are the volume fraction, size, and shape of clusters of similarly oriented alpha particles or microtextured regions (MTRs). To date, there have been few efforts to elucidate in a quantitative fashion the evolution of MTRs during thermomechanical processing (TMP). To meet this need, we have performed hot-compression tests on Ti-6Al-2Sn-4Zr-2Mo-0.1Si billet material with high-aspect-ratio MTRs at 0°, 45°, and 90° to the direction of primary metal flow during manufacture (i.e., the billet axis), thoroughly characterized the initial and final microstructures, and quantified field variables via finite-element method (FEM) process simulations for each experiment. These data can be used for a variety of purposes including the development, verification, and validation of models for microstructure/texture/microtexture evolution and defect formation.

Keywords

Titanium Microstructure EBSD Texture Microtexture Process simulation Characterization 

Notes

Acknowledgements

This work was performed as part of the in-house research activities of the Air Force Research Laboratory’s Materials and Manufacturing Directorate. The support of laboratory management is greatly appreciated. Several of the authors (JS, JT, SS, PF) were supported through Air Force contract FA8650-10-D-5226 during the time this work was completed.

Authors’ contributions

ALP conceived the study, collected the EBSD data, coordinated the efforts at AFRL, and drafted the manuscript; ALP and JCT devised the microtexture segmentation routine while JCT implemented the algorithms in DREAM.3D; JS collected the BSE images, performed the MTR segmentation, and coordinated uploading the dataset to the NIST server; PNF performed and reduced the data from the isothermal compression tests; SS developed and validated the finite-element models; and SLS helped design the experiments, assisted with data analysis, and also assisted with drafting the manuscript. All authors read and approved the final manuscript.

Competing interests

The authors declare they have no competing interests.

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Copyright information

© The Author(s). 2016

Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (https://doi.org/creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.

Authors and Affiliations

  • Adam L. Pilchak
    • 1
    Email author
  • Jared Shank
    • 2
  • Joseph C. Tucker
    • 2
    • 3
  • Shesh Srivatsa
    • 4
  • Patrick N. Fagin
    • 2
  • S. Lee Semiatin
    • 1
  1. 1.Air Force Research LaboratoryAFRL/RXCMWright-Patterson AFBUSA
  2. 2.UES Inc.BeavercreekUSA
  3. 3.Present address: Exponent, Inc.AtlantaUSA
  4. 4.Srivatsa Consulting, LLCCincinnatiUSA

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