AM in the automotive industry to be focus of free SAM webinar

March 3, 2022

The free webinar, centred on AM in automotive, is now open for registration (Courtesy SAM)
The free webinar, centred on AM in automotive, is now open for registration (Courtesy SAM)

The coordinator of the Sector Skills Strategy in Additive Manufacturing (SAM) project has announced an upcoming free webinar which will focus on current developments and applications of AM in the automotive industry, as well as potential cases for the wider adoption of the technology.

The ninety-minute webinar, scheduled to take place April 26, 10:00-11:30 (CET), will be moderated by David Wimpenny (Chief Technologist, MTC) and includes the following talks:

  • Additive Manufacturing of Metal Parts – Actual Situation and Use Cases by Martin Bock (Project Leader, Audi AG)
  • AM in automotive – Successes and future requirements by Simon Hoeges (Technology Director, GKN Additive)
  • The Convergence of Design & Make in Automotive Additive Manufacturing by Dean Frank (Head of Sales EMEA, Autodesk)

SAM was established to tackle the current need for developing an effective system to identify and anticipate the right workforce skills for the AM sector in Europe. The project, which began in January 2019 and is scheduled to continue until December 2022, includes seventeen partners from nine countries.

Registration is open here.

www.skills4am.com

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Metal AM magazine, published quarterly in digital and print formats, is read by a rapidly expanding international audience.

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  • BMW Group: Laying the foundations for the application of metal Additive Manufacturing in the automotive industry
  • Predicting the metal Additive Manufacturing market – and breaking the hype cycle
  • China’s thriving metal Additive Manufacturing industry: An outsider’s perspective
  • Enhancing the productivity of Additive Manufacturing facilities through PBF-LB automation
  • Award-winning metal AM parts from the MPIF’s 2024 Design Excellence Awards
  • Performance of eddy currents for the in-situ detection of defects during PBF-LB metal AM

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