Home /Research /Deep learning-assisted real-time defect detection and closed-loop adjustment for additive manufacturing of continuous fiber-reinforced polymer composites
LEARNING

Deep learning-assisted real-time defect detection and closed-loop adjustment for additive manufacturing of continuous fiber-reinforced polymer composites

Lu Lu, Jie Hou, Shangqin Yuan, Xiling Yao, Yamin Li, Jihong Zhu

Year
2022
Citations
150

Keywords

Materials scienceAbrasion (mechanical)Process (computing)Composite numberFiberComputer scienceCarbon fiber reinforced polymerFabricationArtificial intelligenceClosed loop

Related papers

Browse all LEARNING papers