Desktop CT (μ CT)

Desktop CT (μ CT)

This system is based on computer tomography technology and can generate three-dimensional volume data for 2D and 3D detection. It has functions such as automatic defect detection, non-destructive measurement, material analysis, and reverse engineering. This system is ideal for detecting metals, ceramics, rock cores, complex castings, plastic parts, automotive accessories, jewelry, new materials, and semiconductors.

major function

Multiple detection methods, including cone beam CT scanning and DR real-time imaging, are used to obtain tomographic images ranging from tens to thousands of layers in one scan based on the size of the detected workpiece.

X-ray source, suitable for detecting small objects.

Can be placed on the desktop, occupying a small space.

Imaging methods include 2D and 3D.

● It has the functions of defect and pore analysis, as well as defining the area of the tested workpiece.

Use different colors to identify and detect defect volume, location, and size.

Analyze defect size and statistics, calculate the total percentage of pores, and generate a histogram of pore volume.

Analyze wall thickness: Mark the analysis results with different colors.

Measurement tools: measure parameters such as workpiece position, distance, radius, angle, etc.

Reverse engineering: CAD design and physical comparison.

Segmentation tool: In the dataset, segmentation is performed based on materials and geometric structures.

Accurate measurement of the internal dimensions of the tested workpiece can be achieved.

● Fiber composite material analysis function

● Design and physical comparison function

Parameters

● Tube voltage: 20kV~90kV

● Focus size: 5 μ m

Density resolution: 0.3%~0.5%

● Scanning method: Cone beam scanning

application area

● 3D printing technology ● Geological research

● Teaching Experiment ● Mechanical

● Biological experiments ● Military industry

● Electronic devices ● Catalysts

● Automotive components ● Resin

● Aerospace ● Molecular Sieve

● Casting ● New Materials

● Model processing ● Gem identification

● Medical Engineering ● Archaeology

Detecting instances