X-ray diffraction-based estimation of remaining fatigue life in AA6061-T6 for “additive remanufacturing®”

Authors

  • Sepehr Ghazimorady Fatigue & Stress Analysis Laboratory, Department of Mechanical & Mechatronics Engineering, University of Waterloo, 200 University Ave W, Waterloo, ON, N2L 3G1, Canada
  • Sina Negarandeh Modern Management of Data and Analytics Lab, School of Electrical Engineering and Computer Science, Faculty of Engineering, University of Ottawa
  • Yi Chen Modern Management of Data and Analytics Lab, School of Electrical Engineering and Computer Science, Faculty of Engineering, University of Ottawa
  • Melika Morafegh Modern Management of Data and Analytics Lab, School of Electrical Engineering and Computer Science, Faculty of Engineering, University of Ottawa
  • Verena Kantere Modern Management of Data and Analytics Lab, School of Electrical Engineering and Computer Science, Faculty of Engineering, University of Ottawa
  • Hamid Jahed Fatigue & Stress Analysis Laboratory, Department of Mechanical & Mechatronics Engineering, University of Waterloo, 200 University Ave W, Waterloo, ON, N2L 3G1, Canada

DOI:

https://doi.org/10.15353/hi-am.v1i1.6802

Keywords:

Additive remanufacturing, Cold spray, Fatigue damage assessment, Sustainability, XRD

Abstract

Cold spray is an advanced additive manufacturing technology that is capable of restoration of damaged metallic components without exposing them to high temperatures. To expand the use of cold spray from restoring the geometry and structure of defective parts to full remanufacturing, extending their lifespan beyond the original life cycle by replacing internally damaged areas (typically only 10–15% of the part’s volume), the first step is to accurately assess the damage at the part’s hot spot. This study explores the capabilities of X-ray diffraction (XRD) as a non-destructive testing method for assessing damage in AA6061-T6. A set of dog-bone samples was prepared to introduce controlled damage at different levels. X-ray diffraction measurements were conducted on these samples to generate test data, to assess dislocation densities. These values offer a quantified measure of internal damage and provide insight into the microstructural evolution under fatigue loading. By using this method, this study aims to develop a reliable method for pre-additive remanufacturing® damage assessment. In corroboration with earlier studies, we show that XRD can effectively detect internal material damage using dislocation densities through XRD-measured parameters such as full width at half maxima (FWHM), a measure of XRD peak broadening used for analyzing dislocation and strain. Integrating XRD-based damage assessment with cold spray additive manufacturing can enable precise and localized repairs. By implementing cold spray remanufacturing, this method can significantly reduce material waste, a major contributor to the greenhouse gas emissions, and extend components' lifespans across various industries, promoting sustainability and circular economy.

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Published

2025-10-31