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Webinar - Classifications to interpret, evaluate and predict the performance of metal powders in the laser powder bed fusion (LPBF) process

Webinar - Classifications to interpret, evaluate and predict the performance of metal powders in the laser powder bed fusion (LPBF) process


WEBINAR - Application of morphological group classifications to interpret, evaluate and predict the performance of metal powders in the laser powder bed fusion (LPBF) process

October 26, 2023

10:30 (EDT) | 15:30 (BST) | 16:30 (CET)

Duration: 1 hour | Virtual event

BOOK YOUR PLACE - https://www.tctmagazine.com/3d-printing-resource-center/3d-printing-webinars/malvern-panalytical-webinar/

Powder flowability is a critical and complicated physical characteristic in the powder bed fusion process, which is influenced by particle size distribution, morphology, density, surface properties, electrostatic charge, and moisture. Evaluating the impact of each parameter on flowability to optimize powder production for the laser powder bed fusion process is of high importance.

Recent work performed by the Materials Processing Institute and Liberty Powder Metals has shown that particle morphology is a critical factor governing metal powder flow and spreading. And that it is possible to rank and predict their flowability and manufacturing performance using a weighted index. This index uses parameters derived from Malvern Panalytical’s Morphologi 4 Automated Imaging system such as the percentage of undersized particles, satellited particles, and highly spherical particles.

In the first part of this webinar, Malvern Panalytical’s Imaging expert Jenny Burt will introduce the Morphologi 4 system including how it disperses, images and analyses particles to give particle specific size and shape information. Jenny will also cover the various morphological parameters derived and their statistical presentation. In the second part of the webinar, Ehsan Rahimi from the Materials Processing Institute will show how these parameters can be used to predict powder flowability, and how powder producers and additive manufacturers can use this method to rank their products and evaluate their performance in the laser powder bed fusion process.

Who should attend?

Organisations using additive manufacturing to produce parts themselves or through third parties

Organisations supplying powder materials for use in the additive manufacturing process

Organisations responsible for testing and analysing materials used in the additive manufacturing process

What will you learn?

How static imaging can be used classify and group metal powders based on their size and morphological properties, such as circularity, elongation, amount of satelliting etc.

How these parameters can be used to predict powder flowability and processability in the laser powder bed fusion (LPBF) process

How this approach be utilised for other materials such as cement, ceramic, and polymer powder


BOOK YOUR PLACE - https://www.tctmagazine.com/3d-printing-resource-center/3d-printing-webinars/malvern-panalytical-webinar/


16 October 2023