Application of supervised machine learning for defect detection during metallic powder bed fusion additive manufacturing using high resolution imaging.
...The feature vector is then fed to SVM image claissification algorithm to learn the defects such as under-melting, keyholing, and balling (Scime and Beuth 2019)....
...For instance, a hybrid ML algorithm was devised which uses hierarchical clustering to classify AM design features and support vector machine (SVM) to enhance the hierarchical clustering result in pursuit of finding the recommended AM design features (Yao et al....
...2019), and support vector machine (SVM) (Gobert et al....
...%) and the combination of SVM and principle component analysis (PCA) (90.1%)(Zhang et al....
...%) was found to have higher classification accuracy as compared to SVM (89.6...