How to Plan a Successful Transition to Serial Additive Production

December 05

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Metal additive manufacturing continues to gain momentum and several organizations are starting to explore the technology for the first time.

The path to serial additive production requires careful planning, patience, awareness of potential pitfalls, and enormous attention to detail — but, if done correctly, it can lead to shorter production lead times, cost savings, consolidated part counts, reduced waste, improved sustainability and an enhanced supply chain.

In this webinar, we share lessons learned during our additive journey, and discuss how we help companies shift to industrialization.

Primary Topics:

  • Typical production challenges
  • Key factors influencing repeatability
  • Organizational challenges
  • How to overcome AM challenges


Presenters:

Christopher Philp
Additive Process Manager, GE Aviation Additive Technology Center
Chris Philp is the Additive Process Manager from GE Aviation’s Additive Technology Center in the US
Originally from the UK, he holds a master’s degree in Mechanical Engineering from the University of Sheffield and has extensive experience in both non-conventional machining & additive manufacturing. Having previously worked in various divisions of both GKN Aerospace & GE Aviation, he currently heads up 2 technical additive engineering teams at the ATC. He has also been the main proponent for introducing Concept Laser machines into GE Aviation’s additive machine portfolio over the past 2.5 years.

Jonathan Ortner
Senior Product Manager, GE Additive
Jon Ortner is the Senior Product Manager for the GE Additive Concept Laser M2 machine. He started at GE Aviation as a mechanical engineer in 2007 & while there he worked as an additive manufacturing engineer & developed manufacturing processes & machine technology for Aviation part production. After the acquisition of Concept Laser, he relocated to Germany to develop machines to meet the demanding needs of GE Additive customers using additive manufacturing at scale.