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Using artificial intelligence to control digital manufacturing

Scientists and engineers are constantly developing new materials with unique properties that can be used for 3D printing, but figuring out how to print with these materials can be a complex, costl .

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New, improved spirol.com

Visit spirol.com to access resources specifically focused on fastening, joining, and assembly not available in any engineering textbook or online library.

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IMTS 2022 Conference: The EV Revolution is Charging Up with Additive Manufacturing

Researchers train a machine-learning model to monitor and adjust the 3D printing process to correct errors in real-time - ScienceDaily

Scientists and engineers are constantly developing new materials with unique properties that can be used for 3D printing, but figuring out how to print with

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Ticino
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Using artificial intelligence to control digital manufacturing

A new computer vision system watches the 3D printing process and adjusts velocity and printing path to avoid errors. Training the system in simulation, researchers from MIT and elsewhere avoid the costly trial-and-error associated with setting 3D printing parameters for new materials.

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Ticino
Switzerland
Austria
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Jie-xu
Davidm-siegel
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Michal-piovarci
Szymon-rusinkiewicz
Bernd-bickel

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