The above data characterizes the physical properties of our various printing materials, but it doesn't reveal anything about how it actually prints. The above data confirms that our granulator produces particles on average between 3 and 3.5 mm in length, and an average circularity around 0.5. This explains why area values actually increase from the unsifted to the sifted material. These dust particles are removed during the sifting and drying process.
One thing to note is that the values for some of the unsifted regrind are skewed from small dust particles, especially for PETG and the HID Global polycarbonate. This removes both particles too large for the 5mm sift, and too small for the window screen. Then the material was sifted through the same window screen we use in our dehydrator. Sifting was accomplished first with a 3D printed sifter with 5 mm diameter holes, 2 mm deep. I also analyzed some InnoCircle PET pellets to compare with the regrind. So what kind of results did I get from the data? I did particle analysis on a variety of regrind materials.Įxcluding the John Marsh materials, all regrind materials were ground up with our in-house SHINI granulator. I checked "Shape descriptors," which tells ImageJ to return circularity values when the particles are analyzed.
I went to Analyze > Set Measurements, which pops open a window. Telling ImageJ to calculate this value is actually really easy. As the value approaches 0.0, it indicates an increasingly elongated shape.
#IMAGEJ CIRCULARITY HOW TO#
This time I figured out how to collect data on circularity, which ImageJ defines as:Ī value of 1.0 indicates a perfect circle. I didn't have a GBX up and running for a good chunk of last week, so I did some more ImageJ analysis.
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