The only thing holding GE back from fully integrating 3D printing was insufficient data to assure uniform results. "A part is made out of thousands of layers, and each layer is a potential failure mode," Prabhjot Singh, head of the GE lab working on such processes, told MIT Technology Review. "We still don't understand why a part comes out slightly differently on one machine than it does on another, or even on the same machine on a different day."Now GE has come up with a big data solution to that problem.
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