GE-led Team Fine-tuning Software to Speed-Up Additive Manufacturing with $1.3 Million Grant

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Above: From left to right: Naresh Iyer, GE Research principal scientist for machine learning; Sathyanarayanan Raghavan, lead engineer for structural mechanics/dynamics; Dean Robinson, principal engineer for additive research; and Carlos Velez, lead engineer in the Thermosciences group, discussing 3D design tools in GE Research’s Information Works Lab/Image credit: GE Research

GE Research has always been at the forefront of conducting research in the emerging technologies. Currently, the darling of the industry is additive manufacturing and the focus is on how to take it to the next level even faster.

It has created a multidisciplinary team to work towards reducing the timeline for designing and validating 3D printed turbomachinery components from 2-5 years to a quicker 1-2 years.

In the same regard, Advanced Research Projects Agency (ARPA-E), a division of the U.S. Energy Department that seeds early-stage tech research, is funding a new push by a GE-led team to develop software computing tools and standards to accelerate 3D-printing design and prototype development. The agency has granted $1.3 million to a consortium of GE, the PARC subsidiary of Xerox and the Oak Ridge National Laboratory (ORNL) to pursue these advancements. The teams believe they can cut the timeline for designing and validating 3D printed components by two-thirds.


Additive manufacturing is here to disrupt most of the sectors as regards to how they manufacture products. As the world embraces the technology to print everything from artificial skin for cosmetics testing to footwear. While a lot of additive manufacturing is still in the novelty stage, the airline industry has jumped early on the ability to construct lighter and stronger parts. Today it’s commonplace for the aerospace industries to rely on 3D printed parts for their spacecraft.

Yet while additive manufacturing, empowers designers to improve parts, there’s still a lot of work to be done to integrate these new capabilities into the design and manufacturing process. After all, until very recently, manufacturing has been rooted in casting or milling parts for literally all of recorded human history.

According to Brent Brunell, the technology director for additive technology at GE Research, “Additive manufacturing is just a completely different way of manufacturing parts. We’re finding that while we have capabilities to build features we never had before, we don’t yet have the design tools to take advantage.”

Above: Simulation of the design evolution of a thermal optimum heat exchanger, using an enhanced multi-physics topology optimization tool/Image credit: GE Research

Additive manufacturing allows engineers and designers to print complex metal parts straight from a CAD software. Traditionally, this kind of manufacturing has meant casting parts from molten alloys or pounding them out on massive forging machines. Additive manufacturing, by contrast, takes place in large, humming machines that layer tiny metal particles and fuse them with lasers. This allows for the creation of stronger, lighter and far more intricate pieces than what has been possible with traditional methods.

With the support of the APRA-E grant, GE and partners aim to streamline the painstaking process of prototype development that precedes mass production. Typically, prototype teams will jump into building brand new parts and continue to iterate the material and design throughout the process.

Brunell explains, “You start out by estimating what you think will work and refine as you go along, over and over and over again.”

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It’s not unusual for new-parts development to take three to five years, and a string of 10 to 30 prototype variations, before engineers nail down the manufacturing process and transfer it to a factory for mass production.

Under the ARPA-E program, GE and partners plan to compile a database of materials that could be used in 3D printing based on their various physical characteristics. Researchers will also look at other factors in the production process — like laser speed, airflow inside the machines, and levels of energy applied in layering — to better understand how to prevent circumstances that can warp prototypes. When it comes to shaping the actual designs, ORNL’s supercomputers will help speed up prototype design by precisely modelling the variables a part may experience during the build process. These physical factors, such as thermal profile, stresses and strains, have been difficult to estimate precisely.

The trial project will involve redesigning a natural gas turbine component called the shroud, which directs the airflow into the hottest part of the machine. The goal: a revamped shroud with fewer parts, lighter weight and better airflow. This approach has the potential to significantly boost GE turbine efficiency, which would lead to real customer savings in fuel and other costs.

Brunell added, “Additive manufacturing isn’t only going to disrupt design; it’s going to disrupt manufacturing too. We’ll be able to produce parts we never could have produced before. And with the push of a button, change the design and get a new part in weeks or months instead of years.”

Overall, the consortium expects to shorten development time to just one to two years for new prototypes, while refining existing designs would move even faster.

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Manufactur3D is an Indian Online 3D Printing Media Platform that reports on the latest news, insights and analysis from the Indian and the Global 3D Printing Industry.
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