X-ray Micro-computed Tomography

X-ray micro-computed tomography uses differences in X-ray attenuation recorded across many viewing positions to reconstruct the specimen’s interior. The reconstruction divides the volume into voxels, or three-dimensional image elements, whose values represent local attenuation. Engineers can then examine the spatial arrangement of pores, cracks, inclusions, and fibers rather than relying only on an exterior inspection.

The ability to distinguish a pore, crack, or fiber depends on how its size and shape are represented relative to the scan’s micrometer-scale resolution and voxel structure. Features that appear in the reconstructed volume can be evaluated spatially, allowing engineers to assess internal architecture. This information supports comparisons among materials or components without cutting them.

Because the component remains intact, engineers can inspect internal features without removing the evidence needed for further evaluation. This is particularly useful for failure analysis, material characterization, and dimensional inspection, where pores, cracks, inclusions, or fibers may influence performance. Preserving the specimen also helps connect observed internal architecture with manufacturing processes and mechanical behavior.

An engineering workflow places the specimen in an X-ray beam, rotates it through different orientations, and records projection data with a detector. Computational reconstruction then converts attenuation differences across those projections into a three-dimensional voxel-based volume. Engineers interpret that volume to identify internal features and assess the component’s structure without physically cutting it apart.

The resulting volume can support material characterization, dimensional inspection, and evaluation of how internal architecture relates to mechanical performance. It can also provide structural information for validating computational models. Thus, the method contributes not only to defect detection but also to understanding component geometry, material organization, and the relationship between manufacturing processes and final performance.

For additive-manufactured components, engineers can use the internal map to support quality control by examining pores, cracks, inclusions, and other structural features. In failure analysis, the same information helps reveal internal conditions associated with a damaged component. Comparing these observations with manufacturing processes or mechanical performance can clarify why a part behaved as it did.