How does CT performance differ for plastics, titanium alloys, nickel alloys?

A formal CT report can include defect statistics, porosity measurements, region-of-interest analysis, dimensional results, and color maps when the scan quality and acceptance plan support those outputs. A report format cannot compensate for unresolved resolution or segmentation limits.

Specify the defect threshold, volume or zone, measurement basis, uncertainty, coordinate system, drawing revision, and disposition owner. Preserve raw or reconstructed evidence as agreed, identify excluded areas, and release the part only against the defined criterion.

Fundamental Material Properties Impacting CT Performance

The performance of industrial computed tomography varies significantly across different material families due to fundamental differences in X-ray attenuation characteristics. The primary factors influencing CT inspection capability include material density, atomic number, and uniformity, which collectively determine the optimal scanning parameters and achievable detection sensitivity for each material class.

CT Performance for Plastic Components

Scanning Advantages and Considerations

Plastic materials, including those from our Plastic 3D Printing services, such as PEEK and Nylon, exhibit excellent CT scanability due to their low density and homogeneous composition. These materials typically require lower energy settings (80-150kV) to achieve optimal contrast, resulting in higher signal-to-noise ratios and superior defect detectability. The low attenuation enables scanning of thicker sections while maintaining sensitivity to fine internal features, making CT particularly valuable for inspecting complex geometries produced through Material Extrusion processes.

Application-Specific Advantages

For Consumer Electronics housings and Medical and Healthcare devices manufactured using medical-grade Resins, CT provides exceptional capability for identifying internal voids, verifying wall thickness uniformity, and detecting subtle dimensional deviations. The technique readily identifies encapsulation defects in overmolded components and validates the integrity of intricate internal channels that would be inaccessible to other inspection methods.

CT Inspection of Titanium Alloys

Balancing Penetration and Resolution

Titanium alloys, particularly the Titanium Alloy materials commonly used in our Aerospace and Aviation applications, present intermediate scanning challenges. Requiring medium energy levels (200-300kV), these materials demand careful parameter optimization to balance sufficient penetration with maintained contrast sensitivity. Components that have undergone Heat Treatment often develop microstructural variations that can create subtle attenuation differences, potentially masking fine defects without proper scanning parameter selection.

Critical Defect Detection Capability

For titanium components manufactured using Powder Bed Fusion, CT excels at detecting lack-of-fusion defects, entrapped gas porosity, and powder remnants in internal channels. The technology is particularly valuable for verifying the effectiveness of Hot Isostatic Pressing (HIP) in the closure of critical internal voids. In Automotive applications, CT provides essential validation of thin-walled titanium structures where traditional inspection methods prove inadequate.

CT Evaluation of Nickel-Based Superalloys

High-Energy Scanning Requirements

Nickel-based superalloys from our Superalloy portfolio are the most challenging material category for CT inspection due to their high density and complex composition. These materials typically require high-energy systems (350-450kV) to achieve sufficient penetration, potentially compromising some aspects of detection sensitivity. The exceptionally high-temperature capability of these materials, often enhanced with Thermal Barrier Coatings (TBC), necessitates specialized scanning approaches to differentiate between material defects and intentional compositional variations.

Advanced Defect Characterization

For nickel alloy components destined for Energy and Power applications, CT provides critical capability for detecting incipient cracking, ceramic inclusions, and segregation defects that could compromise high-temperature performance. The technology enables quantitative analysis of porosity distribution in complex cooling channel architectures, directly informing component life predictions. For parts manufactured using Directed Energy Deposition repair processes, CT validates the integrity of the repair interface and detects any regions of lack of bond.

Plastics usually have lower X-ray attenuation than titanium or nickel alloys, while thick or dense regions can reduce contrast and increase artifacts. Titanium and nickel parts may require different energy, filtration, exposure, reconstruction, and defect-analysis settings. A parameter that works for one alloy cannot be transferred to another solely because the part has the same dimensions.

State material grade, density or composition, wall thickness, internal channels, expected defect, surface or coating, and required report. Ask the supplier to separate material-dependent limitations from geometry-dependent limitations and to identify whether the scan is qualitative, quantitative, dimensional, or only a screening inspection.

Plastic, titanium, and nickel alloys attenuate X-rays differently, so energy, filtering, exposure, magnification, and voxel sampling must be selected for the material and geometry. A setup that works for a low-density polymer may not resolve defects through a dense nickel section. Verify the method with a reference or representative feature and report excluded zones, segmentation limits, and the uncertainty basis for dimensional or defect measurements.

Material comparison should include thickness and geometry, not only alloy name. Plastics may permit high contrast at lower energy, while titanium and nickel alloys can require higher energy, filtering, longer exposure, or different magnification. Verify the chosen setup with a reference or representative feature and report the reconstruction and segmentation limits with the result.