GE Aerospace Uses AI to Accelerate Jet Engine Design
GE Aerospace researchers have built a generative AI tool that produces preliminary hypersonic ramjet engine layouts in seconds-a task that typically takes weeks or months. The company demonstrated the system by generating a dual-mode ramjet design that met multiple engineering and flight-condition requirements simultaneously.
The tool, developed at GE Aerospace's research center in Niskayuna, N.Y., evaluates complex design constraints and generates preliminary layouts for engineers to review and refine. By compressing early-stage design studies from weeks to seconds, the technology reduces the time between initial concept and testing.
"By using generative AI tools we can significantly reduce design cycle times, enabling us to be faster to test and ultimately faster to commercialize the best, most proven end product," said Joe Vinciquerra, general manager and senior executive director of GE Aerospace Research.
GE Aerospace is exploring applications for both military and commercial aerospace. The work connects to CFM International's RISE program, which develops next-generation aircraft engine technologies.
The project is part of a broader push to apply generative AI to complex engineering workflows involving physical systems and advanced manufacturing. Vinciquerra called the hypersonic ramjet demonstration "a tremendous proof point that shows AI's potential to revolutionize the design process."
For product development teams, the approach signals how AI can compress design iteration cycles by handling constraint evaluation and layout generation-work that typically requires multiple rounds of manual refinement.
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