Making 3-D printing smarter with machine learning

5 years ago
Anonymous $-riAjkQg_1

https://www.sciencedaily.com/releases/2020/02/200211193052.htm

What happens to the unusable print jobs? They must be discarded, presenting a significant environmental and financial cost to industry.

A team of researchers from USC Viterbi School of Engineering is tackling this problem, with a new set of machine learning algorithms and a software tool called PrintFixer, to improve 3-D printing accuracy by 50 percent or more, making the process vastly more economical and sustainable.