Aug 4, 2022

Machine-learning model monitors and adjusts 3D printing process to correct errors in real-time

Posted by in categories: 3D printing, robotics/AI

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, costly conundrum.

Often, an expert operator must use manual trial-and-error—possibly making thousands of prints—to determine ideal parameters that consistently print a new material effectively. These parameters include speed and how much material the printer deposits.

MIT researchers have now used artificial intelligence to streamline this procedure. They developed a machine-learning system that uses to watch the and then correct errors in how it handles the material in real-time.

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