- GE researchers developing an artificial intelligence (AI) and machine learning (ML)- enabled inverse design framework that allows performance metrics to create more optimized designs for industrial gas turbine (IGT) aerodynamic components
- Project aims to achieve a 30-50% reduction in design cycle times, or from 1 year to a few months
- Partnered with University of Notre Dame and GE Gas Power on the project
- Emerging digital toolset will help push combined cycle
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The science behind a successful set piece involves three important forces on the soccer ball. Theoretical physicist Ken Bray shows visually how it all works.
Football has seen many innovations during its 150-year history. But few have affected the game as profoundly as technological changes to the aerodynamic properties of the ball. For nearly 40 years the ball’s panel pattern followed the classic hexagon-pentagon format with 32 panels, but in 2006 the design changed radically.