Porosity prediction in am using pbf-lb employing time-series classification

HIGHLIGHTS

• who: Vivek Mahato et al. from the , Form Advanced Manufacturing Research Centre, Dublin City University, Dublin, Ireland have published the Article: Porosity Prediction in AM Using PBF-LB Employing Time-Series Classification, in the Journal: (JOURNAL)
• what: Although the model is reasonably good in classifying natural pores with an accuracy of 65%, the resulting accuracy is relatively poor than the artificial pores model (92%) presented in the study . The authors examine the performance of the k-NN-DTW model over AM dataset of metal blocks having natural pores.
• future: The following are the . . .
  

   

  

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