AI is helping computers drive cars, recognize faces, and hold lifelike conversations. GE engineers now say they've used the technology to develop tools that will radically speed up the industrial giant's design process for jet engines and power turbines in its next generation of products.
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“This is, we think, a huge breakthrough,” says Robert Zacharias, technology director of thermosciences at GE Research. It typically takes GE six months to a year to design a part or a new product. Zacharias says surrogate modeling could cut the design cycle time in half or more, and allow the company to do much more design work in a given period of time.
One catch: Ultra-smart computer processes can’t replicate the human element in product design yet. “Ideas emerge when groups of people with different expertise get together and talk about it,” Duraisamy says. “There is something about human intuition and input that is hard to formalize digitally.” Jim Tallman, an engineer who’s spearheaded the modeling effort, says that time pressures and the limits of computing power often lead designers to settle for solutions that are “good enough.” “The exciting possibility here is because we can do so many variations we might be able to find the best design.”
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