inspeXio™ 7000 - Applications
Microfocus X-Ray CT System
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Aluminum Die Castings
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MPR Image
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VR Image
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3D Measurement
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Defect Analysis
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Defect Analysis Histogram
Defect analysis identifies voids and displays a color-coded map of the voids based on their volume. It can also display a frequency histogram of scale the void volume and count.
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MPR Image FOV = ø161.5 mm
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Defect Analysis
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By scanning the die cast part before machining and then specifying the surface after machining (CAD data), the software can determine which voids are removed by machining, which remain internally, and which are exposed on the surface after machining.
● Voids that are removed
● Internal voids
● Voids exposed on the surface
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3D CAD
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Void Determination Based on Specifying Defect Cross Section and SurfaceBlue line: CAD data analysis after machining
GFRP(Glass Fiber Reinforced Plastic)
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Cross Sectional Image FOV = ø20 mm
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Cross Sectional Image (enlarged view)
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Cross Sectional Image (enlarged view)
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VR Image
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Defect Analysis
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Defect Analysis Histogram
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Fiber Orientation Analysis
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Fiber orientation analysis can display a color-coded map of filler orientation. Needles can also be displayed based on the orientation.
CFRTP (Continuous Fiber Reinforced Thermoplastic Laminate)
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MPR Image FOV = ø3.9 mm
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Oblique Image
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Defect Analysis
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VR Image
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Fiber Orientation Analysis
Provided by Ehime University
BGA (Ball Grid Array)
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MPR Image FOV = ø5 mm
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VR Image
Concrete
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MPR Image FOV = ø42 mm
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VR Image
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Provided by Emeritus Professor Moriyoshi at Hokkaido University
Lithium-Ion Rechargeable Battery
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Cross Sectional Image FOV = ø18.4 mm
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Oblique Image
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VR Image
Rectangular Lithium Polymer Battery (For Smartphones)

Circuit Board
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MPR Image FOV = ø 4.4 mm
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VR Image
Mouse Fetus
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MPR Image FOV = ø 13.7 mm
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VR Image
Analysis Using PointMaster Reverse Engineering Software
The software can align CT data with 3D-CAD data, calculate the distance between the boundary surface defined in the CT data and the corresponding 3D-CAD data, and display a color-coded map based on such differences.
