Characterizing and Optimizing the Particle Size and Shape of Metal Powders for Additive Manufacturing

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00:00:00 Welcome
00:00:13 Introduction
00:00:58 Characterising and Optimising the Particle Size and Shape of Metal Powders for Additive Manufacturing
00:01:18 Why is metal powder particle size measured?
00:01:23 Particle size analysis can be used to predict powder cohesivity
00:02:03 Particle size analysis can be used to predict powder packing density
00:02:42 Particle size analysis can be used to predict powder packing density
00:03:33 How can particle size be measured?
00:03:55 A typical laser diffraction particle sizing system
00:04:18 Laser diffraction calculates particle size by measuring particle light scattering intensity
00:04:59 Laser diffraction calculates particle size by measuring particle light scattering intensity
00:05:34 Laser diffraction calculates particle size by measuring particle light scattering intensity
00:06:39 Laser diffraction calculates particle size by measuring particle light scattering intensity
00:07:27 For all analytical techniques we assume that the analysed sample is representative of the bulk
00:07:49 Once we have a sample, the next consideration is to select the most appropriate dispersion state
00:08:19 The output of laser diffraction is a volume-based particle size distribution
00:10:13 Laser diffraction can measure changes in powder blends which may impact particle packaging
00:11:41 Laser diffraction can measure changes in powder blends which may impact particle packaging
00:12:32 Laser diffraction can measure changes in powder blends which may impact particle packaging
00:14:28 Particle size analysis aids understanding of powder handling and processability
00:17:16 Particle size analysis aids understanding of powder handling and processability
00:18:41 Particle size analysis aids understanding of powder handling and processability
00:20:00 Laser diffraction offers many advantages for particle size measurements
00:20:27 Untitled
00:20:39 Particle shape analysis can be used to predict powder packing density
00:20:59 Particle shape analysis can be used to predict powder packing density
00:21:19 A typical automated morphological imaging system
00:21:59 How does automated morphological imaging work?
00:22:37 Morphological imaging reports size and shape parameters calculated from 2D particle images
00:24:10 Morphological imaging enables particle classification on the basis of the size and shape of particles
00:24:53 Morphological imaging provides detailed data relating to particle size and particle shape
00:26:09 Image analysis can help with understanding how processing conditions impact particle shape
00:27:00 Image analysis can help with understanding how processing conditions impact particle shape
00:27:05 Particle size and shape data can be used together to predict processability
00:27:41 Particle size and shape data can be used together to predict processability
00:28:14 Particle size and shape data can be used together to predict processability
00:29:41 Particle size and shape data can be used together to predict processability
00:30:58 Image analysis can also detect fine material which may affect powder processability
00:31:42 Image analysis can also detect fine material which may affect powder processability
00:32:34 Conclusion: comparing laser diffraction and imaging for metal powder characterisation
00:33:47 Characterising and Optimising the Particle Size and Shape of Metal Powders for Additive Manufacturing
00:33:52 Thank you for your attention
00:36:10 Laser diffraction can measure changes in powder blends which may impact particle packaging
00:36:15 Thank you for your attention
00:37:20 Contact Information
The efficiency of powder bed additive manufacturing processes and the quality of finished components is largely dependent on the flow behavior and packing density of the metal powders used. Particle size and shape directly influence these properties and hence are important quality parameters for assessing and grading powders for use in the process.

In this webinar we discuss the importance of particle size and shape in terms of packing behavior and processing and how these parameters can be measured using Laser Diffraction and Morphological Imaging respectively.