Mean Linear Dendrite Spacing for Cast Alloys (MLDS)
Accurate and repeatable DAS measurement techniques for alloy microstructures using image analysis. MLDS (Mean Linear Dendrite Spacing) is an approach based on an image analysis routine which automatically detects dendrites, superimposes a set of concentric circles and exports measurements of overlapped features.
Clemex prebuilt methods are the ideal way to start your analysis without prior experience with image analysis software - Watch the video to learn more!
Accurate, Reproductable and Consistent
The new automated method for measuring micro structural fineness using image analysis allows increased data collection, better measurement representation, and less measurement process time.
Increased Data Collection
MLDS is an approach based on an image analysis routine which automatically detects dendrites, superimposes a set of concentric circles and exports measurements of overlapped features.
Better Measurement Representation
Circles are segmented and measured in a way that is universal for all microscope magnifications and camera combinations. The use of a single routine for different situations minimizes operator errors.
Less Measurement Process Time
The automated method has been proved to be 16 times faster than the traditional manual method. Furthermore, increased data collection produces a statistically significant result.
Traditional SDAS Method
Fineness in hypoeutectic metallic alloys, like hypoeutectic Al-Si based casting alloys, has traditionally been quantified by measuring the spacing between secondary dendrite arms (SDAS). The manual SDAS method involves capturing images from a sample and annotating a number of secondary dendrite arms with direct measurement tools. The length distribution of these manual measurements is updated instantaneously in the results panel of the software and can be exported for further processing using a Linear Intercept Method macro to obtain DAS.
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