The use of profilometry techniques and eigenstrain theory for the analysis of creep behavior in nickel superalloy welds

Fatih Uzun, Alexander M. Korsunsky

Research output: Contribution to journalConference articlepeer-review

Abstract

This paper presents a summary of recently developed experimental and computational tools to reconstruct residual stress fields and analyze creep in nickel superalloy welds used in aerospace engineering components. This approach combines experimental data with eigenstrain theory to reconstruct stress fields at the macroscopic scale and provided reliable means for numerical prediction of creep behavior of welded components under complex loading conditions. Experimental data in the form of profilometry scans was interpreted using a range of iterative eigenstrain methods that included the adaptation of the contour method and artificial intelligence models for eigenstrain-creep analysis. The integration of principles of artificial intelligence with eigenstrain models allowed highly accurate results to be obtained which were validated by comparison with experimental data obtained using independent techniques such as neutron diffraction. The use of artificial intelligence models is discussed for residual stress reconstruction and creep behavior prediction in annular aeroengine parts manufactured using inertia friction welding. To extend the range of experimental data taken into consideration, the height Digital Image Correlation (hDIC) technique was introduced that utilizes information regarding triaxial displacements obtained from profilometry, allowing deeper and more reliable analysis to be conducted. The hDIC technique was validated using operando tensile testing data.

Original languageEnglish
Pages (from-to)2041-2058
Number of pages18
JournalMaterials Today: Proceedings
Volume33
DOIs
Publication statusPublished - 2020
Externally publishedYes
Event10th International Conference on Key Engineering Materials, ICKEM 2020 - Madrid, Spain
Duration: 26 Mar 202029 Mar 2020

Keywords

  • Artificial intelligence
  • Eigenstrain-contour method
  • Eigenstrain-creep method
  • Height Digital Image Correlation (DIC)
  • Welding residual stress

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