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Updated: Mar 16, 2026

Three-Dimensional Particle Shape Analysis Using X-ray Computed Tomography: Experimental Procedure and Analysis Algorithms for Metal Powders
Published on: December 4, 2020
Loose powder detection and surface characterization in selective laser sintering via optical coherence tomography
Guangying Guan1, Matthias Hirsch1, Wahyudin P Syam1
1Advanced Manufacturing Technology Research Group, Faculty of Engineering , University of Nottingham, University Park , Nottingham NG7 2RD, UK.
Optical coherence tomography (OCT) can detect internal defects in selective laser sintering (SLS) parts layer-by-layer. This method identifies un-melted powder and porosity, ensuring defect-free components for critical applications.
Area of Science:
- Additive Manufacturing
- Non-Destructive Testing
- Optical Metrology
Background:
- Selective Laser Sintering (SLS) parts often contain defects like un-melted powder, compromising integrity.
- Post-build defect detection in SLS typically requires X-ray methods, limiting real-time assessment.
- Layer-by-layer integrity assessment is crucial for reliable SLS applications.
Purpose of the Study:
- To investigate Optical Coherence Tomography (OCT) for non-destructive, in-situ defect detection in SLS parts.
- To correlate OCT measurements with SLS process parameters for variable density regions.
- To evaluate OCT's capability for surface texture profiling.
Main Methods:
- Utilized OCT to scan SLS samples with embedded graduated porosities simulating defects.
- Performed simulated in-situ measurements and correlated them with SLS process parameters.
- Compared OCT surface texture data with focus variation microscopy after spatial bandwidth matching.
Main Results:
- OCT successfully detected sub-surface un-melted powder and differentiated densities within ±5% at depths up to 300 μm.
- Simulated in-situ OCT measurements correlated effectively with SLS process parameters.
- OCT surface profiling yielded comparable results to focus variation microscopy.
Conclusions:
- OCT is a viable non-destructive method for in-situ layer-by-layer defect detection in SLS.
- OCT enables the identification of critical defects like porosity and un-melted powder.
- This technique enhances quality assurance for SLS additive manufacturing.
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