IMPACT: Design of Integrated Multi-physics, Producible Additive Components for Turbomachinery

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Niskayuna, New York
Project Term:
05/15/2020 - 05/14/2022

Technology Description:

GE Research will develop design optimization tools for the laser powder bed fusion based additive manufacturing of turbomachinery components. The team will integrate the latest advances in multi-physics topology optimization with fast machine learning-based producibility evaluations extracted from large training datasets comprising high-fidelity physics-based simulations and experimental validation studies. The integrated methodology will be used to demonstrate simultaneous improvements in the producibility and thermodynamic efficiency of a multi-physics turbomachinery component. Improved turbomachinery efficiency is a competitive advantage for U.S. industry and will help ensure the nation's energy security. The proposed manufacturing producibility-aware, multi-physics detailed design optimization tools will advance the use of additive manufacturing within the U.S.

Potential Impact:

DIFFERENTIATE aims to enhance the productivity of energy engineers in helping them to develop next-generation energy technologies. If successful, DIFFERENTIATE will yield the following benefits in ARPA-E mission areas:


Seek U.S. technological competitive advantage by leading the development of machine-learning enhanced engineering design tools.


Use these tools to solve our most challenging energy and environmental problems by facilitating an economically attractive transition to lower carbon-footprint energy sources and systems.


Reap the economic productivity benefits associated with the commercial adoption of the resulting higher-value energy technologies and associated products.


ARPA-E Program Director:
Dr. David Tew
Project Contact:
Dean Robinson
Press and General Inquiries Email:
Project Contact Email:


Palo Alto Research Center
Oak Ridge National Laboratory

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