• A research team proposes spectral extrapolation to recover determine surface roughness metrics on laser powder bed fusion parts from limited measurements, promising faster quality assurance for AM shops. • Surface condition remains a stubborn variable in Laser Powder Bed Fusion (LPBF). • Unmelted particles, balling, and scan track texture influence fatigue, sealing, and heat transfer in aerospace, energy, and medical applications. • Yet full-field optical scans of complex parts are slow, struggle on steep slopes, and are often impossible inside narrow channels or lattice cavities. • Shops typically fall back to small fields of view and extrapolate meaning by averaging areal parameters like Sa or Sq under ISO 25178. • That approach can be biased when the window is small, the sampling frequency is limited, or the surface texture is anisotropic.

Article Summaries:

  • A research team proposes spectral extrapolation to recover determine surface roughness metrics on laser powder bed fusion parts from limited measurements, promising faster quality assurance for AM shops. Surface condition remains a stubborn variable in Laser Powder Bed Fusion (LPBF). Unmelted particles, balling, and scan track texture influence fatigue, sealing, and heat transfer in aerospace, energy, and medical applications. Yet full-field optical scans of complex parts are slow, struggle on steep slopes, and are often impossible inside narrow channels or lattice cavities. Shops typically fa

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