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.
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.