Please use this identifier to cite or link to this item: http://dx.doi.org/10.14279/depositonce-9939
For citation please use:
Main Title: In-Situ Defect Detection in Laser Powder Bed Fusion by Using Thermography and Optical Tomography—Comparison to Computed Tomography
Author(s): Mohr, Gunther
Altenburg, Simon J.
Ulbricht, Alexander
Heinrich, Philipp
Baum, Daniel
Maierhofer, Christiane
Hilgenberg, Kai
Type: Article
Language Code: en
Abstract: Among additive manufacturing (AM) technologies, the laser powder bed fusion (L-PBF) is one of the most important technologies to produce metallic components. The layer-wise build-up of components and the complex process conditions increase the probability of the occurrence of defects. However, due to the iterative nature of its manufacturing process and in contrast to conventional manufacturing technologies such as casting, L-PBF offers unique opportunities for in-situ monitoring. In this study, two cameras were successfully tested simultaneously as a machine manufacturer independent process monitoring setup: a high-frequency infrared camera and a camera for long time exposure, working in the visible and infrared spectrum and equipped with a near infrared filter. An AISI 316L stainless steel specimen with integrated artificial defects has been monitored during the build. The acquired camera data was compared to data obtained by computed tomography. A promising and easy to use examination method for data analysis was developed and correlations between measured signals and defects were identified. Moreover, sources of possible data misinterpretation were specified. Lastly, attempts for automatic data analysis by data integration are presented.
URI: https://depositonce.tu-berlin.de/handle/11303/11051
http://dx.doi.org/10.14279/depositonce-9939
Issue Date: 9-Jan-2020
Date Available: 29-Apr-2020
DDC Class: 620 Ingenieurwissenschaften und zugeordnete Tätigkeiten
Subject(s): laser powder bed fusion
selective laser melting
additive manufacturing
process monitoring
infrared thermography
optical tomography
computed tomography
data fusion
lack-of-fusion
L-PBF
SLM
AM
CT
License: https://creativecommons.org/licenses/by/4.0/
Journal Title: Metals
Publisher: MDPI
Publisher Place: Basel
Volume: 10
Issue: 1
Article Number: 103
Publisher DOI: 10.3390/met10010103
EISSN: 2075-4701
Appears in Collections:FG Verfahren und Technologien für hochbeanspruchte Schweißverbindungen » Publications

Files in This Item:
metals-10-00103.pdf
Format: Adobe PDF | Size: 5.92 MB
DownloadShow Preview
Thumbnail

Item Export Bar

This item is licensed under a Creative Commons License Creative Commons