Even small improvements in aircraft fuel efficiency can have a large effect on economics and on the environment.Today’s aircraft use roughly 80% less fuel per passenger-mile than the first jets of the 1950s – a testimony to the tremendous impact of aerospace engineering on flight. This increased efficiency has extended global commerce to the point where it is now economically viable to ship everything from flowers to Florida manatees across the globe.
Despite continuous improvements in fuel burning efficiency, global emissions are still expected to increase during the next two decades due to air traffic doubling. To counter these rising emissions, University of Michigan (UM) researchers are using the Stampede supercomputer at the Texas Advanced Computing Center (TACC) to create novel wing designs for jets, led by Joaquim Martins – a UM aerospace engineer who leads the Multidisciplinary Design Optimization Laboratory.
“Transportation is the backbone of our economy. Any difference you can make in fuel burn, even a fraction of a percent, makes a big difference in the world,” Martins says. “Our goals are two-fold: to make air transportation more economically feasible and at the same time to reduce the impact on the environment.”
Using the TACC Stampede supercomputer, as well as computing systems at NASA and UM, Martins has developed improved wing designs capable of burn-ing less fuel, as well as design tools that help the aerospace industry build more efficient aircraft.
“We’re bridging the gap between an academic exercise and a practical method for industry,” he says.
Novel wing designs
Presenting at the American Institute of Aeronautics and Astronautics (AIAA) SciTech Forum in January 2017, Martins and collaborators Timothy Brooks (UM) and Graeme Kennedy (Georgia Tech) described efforts to optimize the design of wings built with new composite materials and emerging construction methods (https://goo.gl/pVRpyT). Designs with wings made of composite materials or wings that morph during flight could increase efficiency up to 10%.
Today’s airplanes feature 50% composites materials, but the composites are placed in a relatively simple way. New automatic fiber placement machines can place composites in complex curves, creating what are known as tow-steered composite wings.
“That opens up the design space, but designers aren’t used to this,” Martins says. “It’s challenging because there isn’t a lot of intuition on how to utilize the full potential of this technology. We developed the algorithms for optimizing these tow-angles.”
Tow-steered composites can reduce aircraft structural weight by 10% when compared to conventional composite designs, while reducing the fuel burn by 0.4%. NASA is in the process of building a prototype of a tow-steered wing box for a scale test at NASA’s Armstrong Flight Research Center.
Another area of study is morphing wings that change shape to optimize performance regardless of flight speed, altitude, or aircraft weight.
At AIAA’s 2016 SciTech Forum, Martins, David Burdette, and Gaetan Kenway (all from UM) presented results for a morphing design (https://goo.gl/ZYZah7) that could burn 2% less fuel than current designs. Martins also published a chapter in the Encyclopedia of Aerospace Engineering on “Fuel Burn Reduction through Wing Morphing,” describing potential designs ideas and optimization methods in this area (https://goo.gl/h3Sq7L).
“Research on new materials and morphing mechanisms will make morphing systems lighter, more energy efficient, and more economical,” he writes. “It is just a question of time before we see aircraft wings that exhibit morphing capabilities that seem impossible today.”
A third area of investigation involves new, high-aspect ratio wings with a much larger span than those in use today.
Martins presented designs for such a wing at the 15th AIAA/ISSMO Multidisciplinary Analysis and Optimization Conference in 2014 (https://goo.gl/TyXbRu). Boeing has adapted that model and will build a prototype to test at NASA Langley Research Center’s Transonic Dynamics Tunnel.
Multidisciplinary design optimization
Designing aircraft using computer models isn’t new, but in the past, studies either used low-fidelity models or confined themselves to a single area of investigation – the aerodynamics of the wing or its structural integrity. These studies were passed between groups of engineers, leading to designs that were more efficient than those they supplanted, but not necessarily optimal.
Martins’ multidisciplinary design optimization approach combines many factors and high-fidelity models into a coupled computational optimization problem. This can lead to greater improvements than the single-study method, he says, but it requires the application of massive parallel supercomputers capable of running complex calculations in tandem that account for hundreds or even thousands of design variables.
“Our problems require hundreds or thousands of processors and we try to get each simulation to be on the order of a few minutes, and the optimization to converge within 8 to 48 hours,” Martins says.
He runs these calculations hundreds of times to arrive at the best possible solution and to test the integrity of the new design in likely flight conditions.
“Computational fluid dynamics and computational structural mechanics are demanding,” Martins says. “To solve our problems, we absolutely need a supercomputer like Stampede.”
Boeing and NASA are testing prototypes based on wing designs suggested by Martins’ optimizations, but the impact of his research goes beyond any one design – his algorithms provide a means to combine the complicated factors that go into a design into a single computational process. He is currently working with Embraer to evaluate the algorithms he has developed for use in production. He has also discussed the practicality of his algorithms with Bombardier, Airbus, and Boeing.
“Wing design is of critical importance to the aircraft manufacturing industry to achieve optimum performance and affordable designs,” says Frode Engelsen, technical fellow at Boeing Research and Technology. “Professor Martins has advanced the state of the art by building a multidisciplinary design optimization framework using high fidelity aerodynamic and structural models simultaneously in wing design.”
Ultimately, applying Martins’ algorithms to an industrial process would require additional elements – for instance, the use of a greater range of flight conditions to assure the safety of the aircraft, and integration with manufacturing costs to confirm the more efficient aircraft can be constructed economically.
The effort is worthwhile, however, because the impact – on commerce and on people’s lives – is substantial.
“If you think about it, it’s incredible that you can fly across the U.S. for a few hundred dollars,” Martins says. “Ticket prices have gone down dramatically over the last several decades and that allows people to go visit their families for Thanksgiving. And it’s been enabled by more efficient aircraft.”
The research is supported by grants from NASA. Stampede was funded by the National Science Foundation (NSF) through award ACI-1134872.
Multidisciplinary Design Optimization Laboratory
Texas Advanced Computing Center
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