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

Cite this as

Eschner, Niclas (2020). Dataset: In-process monitoring of laser powder bed fusion using structure-borne acoustic process emissions to predict porosity. https://doi.org/10.35097/379

DOI retrieved: 2020

Additional Info

Field Value
Imported on January 12, 2023
Last update August 4, 2023
License CC0 1.0 Universal Public Domain Dedication
Source https://doi.org/10.35097/379
Author Eschner, Niclas
Source Creation 2020
Publishers
Karlsruhe Institute of Technology
Production Year 2020
Publication Year 2020
Resource Type Sound - Acoustic Emissions for Laser Powder Bed Fusion for 54 specimen including reference measurment for porosity
Subject Areas
Name: Engineering