By Adam Zewe
- Scientists and engineers often manually use trial-and-error to find the optimum parameters to consistently 3D print new materials effectively.
- But researchers have now streamlined the process by training a machine-learning model to monitor and adjust the 3D printing process to correct errors in real-time.
- The system could help engineers easily incorporate novel materials into their prints and allow technicians to adjust the printing process if material or environmental conditions change unexpectedly.
Scientists and engineers are constantly developing new materials with unique properties that can be used for 3D printing, but figuring out howto 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 printing 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 computer vision to watch the manufacturing process and then correct errors in how it handles the material in real-time.
Continue reading… “How AI is being used to improve 3D printing”
