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Enhancing Surface Fault Detection Using Machine Learning for 3D Printed Products
2021
Applied System Innovation
In the era of Industry 4.0, the idea of 3D printed products has gained momentum and is also proving to be beneficial in terms of financial and time efforts. These products are physically built layer-by-layer based on the digital Computer Aided Design (CAD) inputs. Nonetheless, 3D printed products are still subjected to defects due to variation in properties and structure, which leads to deterioration in the quality of printed products. Detection of these errors at each layer level of the
doi:10.3390/asi4020034
fatcat:jdzw76eyq5g57gryroado7573q