Metal powder feedstock to Additive Manufacturing should be spherical in shape with a wide distribution to ensure minimal voids in the packed powder bed. This webinar presents the characterization of the quality of metal powder feedstock to Additive Manufacturing relative to the powder shape using automated static or dynamic image analysis by optical photography. It describes the methods to measure powder shape parameters that can identify potentially detrimental powder characteristics and specifically describes how to identify and quantify the proportion of agglomerates/satellites and other irregularly shaped non-spherical powder particles in a powder batch.
The proportion of these detrimental non-spherical particles will affect the Flowability and Spreadability of the feedstock as well as the mechanical properties of the finished metal powder parts. This procedure follows ASTM Standard Guide F3571-22. See https://www.astm.org/f3571-22.html
Topics
- Available methods for size and shape determination of metal powders
- Satellites, agglomerates, and other non-spherical particles
- How to use image analysis to measure shape of metal powder particles (ASTM F3571-22)
- Static or dynamic image analysis: which one is better?
- How to combine Laser Diffraction with image analysis in one instrument
Presented by:
Kai Düffels has a Master's degree in Geoscience from the University of Stuttgart with a focus on geochemistry. He has more than 15 years of experience in particle analysis at Microtrac and predecessor organizations in Europe. Kai’s main expertise is dynamic image analysis and laser diffraction. At our site in Haan near Düsseldorf, Kai is responsible for the application laboratory, where we analyze more than 250 customer samples of different materials per year.
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语言 : 英语