GE Additive unveiled the first BETA machine developed as part of its Project A.T.L.A.S program. The meter-class, laser powder-bed fusion machine has been developed to provide manufacturers of large parts and components with a scalable solution that can be configured and customized to their own specific industry applications.
Project A.T.L.A.S (Additive Technology Large Area System) is GE Additive’s company-wide program to develop the next generation large additive machines. This first BETA machine was developed in nine months and complements the company’s existing portfolio of products.
Suited to industries that require large complex metal parts, such as aviation, automotive, space and oil and gas industries, the new BETA machine builds on technology previously developed by GE, combined with Concept Laser’s expertise in laser additive machines. The first few BETA machines are currently being evaluated by a small group of customers and more are available for delivery in 2018.
“Irrespective of industry, every customer has its own specific needs and its own unique levels of complexity. We regularly hear that next-generation machines need to be customizable and configurable. The new meter-class machine we’re debuting at formnext is our response to that feedback – a solution that is scalable and customizable and meets the needs of our industry, as it matures,” said Mohammad Ehteshami Vice President and General Manager of GE Additive.
GE claims the machine’s feature resolution and build rate speeds are better than machines available today and has a scalable architecture that can increase the ‘Z’ axis to 1.0 M and beyond.
The machine incorporates the latest laser technology and the ability to be reconfigured to incorporate additional lasers.
Key features include:
Build volume: 1.1 x 1.1 x 0.3 M (x,y,z)
The latest 1 kW laser
3D scanner translates with laser
Optimal air flow over the print area
Best-in-class feature resolution
Process and machine health monitoring (enabled by Predix software – GE’s cloud-based operating system)