Special Insight in Metallic Powder Characterisation workshop

February 9, 2021

Special Insight in Metallic Powder Characterisation will take place on February 23, 2021 (Courtesy INVIRTA)

The International Virtual Academy, INVIRTA, is hosting a new online workshop that will focus on metal powders for Additive Manufacturing. Part of a series dedicated to powder materials, ‘Special Insight in Metallic Powder Characterisation’ will take place on February 23, 2021.

The shape, composition, morphology, porosity, particle size distribution, moisture, flowability of powder materials – key features for many processes, including AM, Metal Injection Moulding (MIM), and thermal spraying – will be addressed and reviewed by academic and industrial leaders. They will deliver a comprehensive approach to metal powder characterisation.

Presentations include:

  • Surface chemistry of metal powder and its changes during powder bed fusion processing
    Prof Eduard Hryha, Chalmers University of Technology, Göteberg, Sweden
  • Metal AM powders and moisture in the room
    Dr Peter Moir, Relequa
  • Power purity and influence of foreign particles on the component quality
    Max Horn, Fraunhofer IGCV
  • Measuring and understanding powder flow and powder behaviour
    Jamie Clayton, Freeman Technology
  • How to link powder rheology to actual spreadability in a powder bed based AM process
    Dr Aurelien Neveu
  • Analytics of Metallics Powders for AM – an Overview
    Claus Aumund-Kopp, Fraunhofer IFAM

During the workshop there will be time allotted for discussion, helping to foster engagement between the attendees and speakers. Early-bird registration is available until February 12, 2021.

More information and registration for the workshop.

www.invirta.com

In the latest issue of Metal AM magazine

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Extensive AM industry news coverage, as well as the following exclusive deep-dive articles:

  • Metal powders in Additive Manufacturing: An exploration of sustainable production, usage and recycling
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  • An end-to-end production case study: Leveraging data-driven machine learning and autonomous process control in AM
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  • Scandium’s impact on the Additive Manufacturing of aluminium alloys
  • AM for medical implants: An analysis of the impact of powder reuse in Powder Bed Fusion

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