SABIC is introducing unique new fused deposition modeling filament that delivers improved high impact resistance compared to currently available filaments. The high impact strength filament, suitable for potential aerospace, consumer and automotive applications, meets growing global demand for higher performing additive manufacturing consumables and is the first in a series of differentiated materials SABIC plans to launch in the coming year. With the addition of this new high-impact filament, SABIC is demonstrating its ability to deliver on the promise of bringing differentiated materials to the market to help position additive manufacturing as a viable full-scale production process.
The new filament will further expand SABIC’s robust portfolio of additive manufacturing materials, which includes six filaments designed for use with Stratasys Fortus printers, and a family of reinforced compounds for large format additive manufacturing, both of which were introduced earlier this year. These technologies are based on the company’s high-performance polycarbonate (PC), polyetherimide (PEI), acrylonitrile-butadiene-styrene (ABS) and polyphenylene ether (PPE) engineering resins, several of which have been used for additive manufacturing for many years.
SABIC will exhibit parts at formnext 2017 that were printed at its Additive Manufacturing Centers of Excellence in Pittsfield, Massachusetts and Bergen op Zoom, the Netherlands using the new high-impact strength filament and the company’s other additive manufacturing products.
These include fully amorphous PC parts printed by SLS, and a cross-section of a prototype yacht hull designed by Livrea Yacht and Autodesk and printed on SABIC’s Big Area Additive Manufacturing (BAAM®) printer. In addition, SABIC will showcase its expertise and resources for design, application development, and testing for additive manufacturing. SABIC representatives will be available for the duration of Formnext 2017 to discuss the company’s products, services and capabilities for additive manufacturing.