Quality Assurance using X-ray computed tomography is made easy and transparent by Dragonfly. Industrial users benefit from non-destructive insights into their parts that can highlight manufacturing errors or unwanted defects such as voids, porosity, cracks, local wall thickness deviations, out-of-range deviations from design and much more.
Image source: Inspection of wall thickness. Data courtesy of Dandong Huari Science Electric Co. Ltd.
Porosity/ Void analysis
Porosity analysis is widely used in industry and this can be performed quickly and easily in Dragonfly. Segmentations can be done using fast and easy automated thresholding tools, and calculations for each pore can be done for pore size analysis with color coding for visualization.
Wall thickness analysis
Local wall thickness analysis is a popular quality assurance method, useful for highlighting thin parts or checking wall thickness against specifications. Color coding and statistical analysis are also possible.
A deviation analysis using Dragonfly’s mesh deviation analysis tool highlights deviations from design.
Deviation from design
Often it is useful to compare a manufactured part to its design file. Dragonfly allows import of the design mesh file (STL) and comparison of this file with the actual part. Color coding can highlight the largest deviations or warping.
Other
Combinations of quality assurance tools are often useful. In addition to the above approaches and combinations of them, other tools often used in industrial quality assurance and R&D laboratories include: particle size distribution analysis, inclusion analysis, mesh export, dimensional measurements, part or feature count, defect distance from surface of object, and much more.
One of the important aspects of quality assurance with Dragonfly, is that inspection tasks can be automated. An example is the segmentation and measurement of battery overhang distances performed by deep learning and the automated analysis and reporting tools in the Battery Insights product.
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