In-process monitoring of laser powder bed fusion using structure-borne acoustic process emissions to predict porosity .

Cite this as

Eschner, Niclas (2021). Dataset: In-process monitoring of laser powder bed fusion using structure-borne acoustic process emissions to predict porosity .. https://doi.org/10.35097/416

DOI retrieved: 2021

Additional Info

Field Value
Imported on January 12, 2023
Last update August 4, 2023
License CC BY 4.0 Attribution
Source https://doi.org/10.35097/416
Author Eschner, Niclas
Source Creation 2021
Publishers
Karlsruhe Institute of Technology (KIT)
Production Year 2020
Publication Year 2021
Resource Type Sound - Acoustic Emissions for Laser Powder Bed Fusion for 54 specimen including reference measurment for porosity
Subject Areas
Name: Engineering