• Periodic grain structures are revealed across the full height of a large wire-arc additively manufactured low-carbon steel component. • A nondestructive ultrasonic approach enables build-scale detection of microstructural variation previously accessible only by destructive methods. • Thermal cycling during layer-by-layer deposition is shown to govern repeating grain morphology and structural heterogeneity. • The study establishes a scalable pathway for linking manufacturing conditions with microstructure using nondestructive ultrasound. Understanding build-scale microstructural variation in wire arc additive manufacturing (WAAM) of low-carbon steels is essential for ensuring consistent structure–property relationships throughout large components. Conventional destructive characterization techniques, such as scanning electron microscopy (SEM) and electron backscatter diffraction (EBSD), are time-intensive and limited to localized regions, making comprehensive evaluation of large WAAM structures challenging. In this study, a nondestructive ultrasonic approach was employed to characterize a 252 mm tall ER70S-6 S-curved WAAM wall produced using a triple-bead deposition strategy. Optical and SEM analysis revealed a repeating dual-region microstructure consisting of uniform polygonal ferrite at melt pool centers and heterogeneous ferrite with coarse and fine grains near melt pool boundaries, attributed to cyclic thermal conditions. Longitudinal ultrasonic backscatter imaging was used to evaluate the continuity of this periodicity along the full build height. The ultrasonic response exhibited a consistent repeating pattern that correlated with the observed layer-wise microstructural variation. X-ray computed tomography confirmed the absence of detectable porosity, indicating that ultrasonic contrast is primarily governed by grain morphology. Overall, the results indicate that longitudinal backscatter ultrasound is a promising nondestructive characterization technique for validating microstructural variations along the s-curved WAAM wall, with significant potential for microstructure optimization and process control.
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Sahar Beigzadeh
Nathanial Matz
A. S. Vishnu
Materials & Design
Iowa State University
Virginia Tech
University of Nebraska–Lincoln
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Beigzadeh et al. (Sun,) studied this question.
www.synapsesocial.com/papers/69a528ecf1e85e5c73bf0643 — DOI: https://doi.org/10.1016/j.matdes.2026.115748