Encoding stability into laser powder bed fusion monitoring using temporal features and pore density modelling

HIGHLIGHTS

• who: Brian G. Booth and colleagues from the (UNIVERSITY) have published the paper: Encoding Stability into Laser Powder Bed Fusion Monitoring Using Temporal Features and Pore Density Modelling, in the Journal: Sensors 2022, 22, 3740. of /2022/
• what: The authors propose that melt pool stability can be improved by explicitly stability into LPBF monitoring systems through the use of temporal features and pore density modelling. To test this hypothesis, the authors propose two novel contributions:. With this model, the authors aim to reduce the number of printer 3 of 17 control actions down to only . . .
  

   

  

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