The Additive Manufacturing team at GE Research is working on technologies to make metal additive manufacturing faster, more reliable, and more pervasive in manufacturing. From machines that build faster and bigger parts, to design algorithms that enable perfection on the very first part build, to the rapid development and characterization of materials, to security technology that assure a chain of digital trust from design to build. The GE Research team is solving the most critical challenges in additive manufacturing.

Achieving the full potential of additive manufacturing and harvesting the design freedom it makes possible requires a cross-disciplinary approach to technology development. GE Research has PhD level interdisciplinary teams advancing additive from prototyping to industrial manufacturing at scale. This is how GE Research is creating the future of additive manufacturing.
Metal additive is revolutionizing many sectors of industrial manufacturing by reducing component lead time, cost, material waste and energy usage, all with added flexibility in the design of the manufactured parts for highest performance. The industries which are fast-breaking the way in adopting the additive technology are Aerospace, Automotive, Medical and Dental. As the technology further matures in terms of reliability, speed, productivity and cost, we expect it will find its way in a much wider application space.

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Our Expertise
Capabilities utilized for Additive Manufacturing
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Optics & Photonics
Developing novel technologies for applications in sensing, data communication, imaging, directed energy systems, and energy conversion
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Materials & Process Modeling
Combining the power of physics and data driven models to accelerate the discovery, development and servicing of material solutions and processes
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Mechanical Systems
Developing prediction tools and mature components for rotating and reciprocating machines to enable the safe, smooth and efficient transfer of power
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Mechanical Synthesis
Developing tools and methods to reduce design iterations from concept to product and optimize producibility from design intent to as-manufactured parts
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