Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Core Legal Challenges for Medical 3D Printing in the EU.

Healthcare (Basel, Switzerland)·2024
Same author

3D Printing, Intellectual Property Rights and Medical Emergencies: In Search of New Flexibilities.

IIC; international review of industrial property and copyright law·2022
Same author

Microstructure and Properties of Additively Manufactured AlCoCr<sub>0.75</sub>Cu<sub>0.5</sub>FeNi Multicomponent Alloy: Controlling Magnetic Properties by Laser Powder Bed Fusion via Spinodal Decomposition.

Materials (Basel, Switzerland)·2022
Same author

Modeling, Simulation and Data Processing for Additive Manufacturing.

Materials (Basel, Switzerland)·2021
Same author

Additive Manufacturing of Resected Oral and Oropharyngeal Tissue: A Pilot Study.

International journal of environmental research and public health·2021
Same author

Three-Dimensional Presentation of Tumor Histopathology: A Model Using Tongue Squamous Cell Carcinoma.

Diagnostics (Basel, Switzerland)·2021

Related Experiment Video

Updated: Jun 28, 2025

Three-Dimensional Particle Shape Analysis Using X-ray Computed Tomography: Experimental Procedure and Analysis Algorithms for Metal Powders
10:10

Three-Dimensional Particle Shape Analysis Using X-ray Computed Tomography: Experimental Procedure and Analysis Algorithms for Metal Powders

Published on: December 4, 2020

1.8K

Metal Laser-Based Powder Bed Fusion Process Development Using Optical Tomography.

Roy Björkstrand1, Jan Akmal1,2, Mika Salmi1

  • 1Department of Mechanical Engineering, School of Engineering, Aalto University, 02150 Espoo, Finland.

Materials (Basel, Switzerland)
|April 13, 2024
PubMed
Summary

Optical Tomography monitors light emissions during laser powder bed fusion of 316 L stainless steel. This method helps identify critical defects, accelerating additive manufacturing parameter development.

Keywords:
3D printingadditive manufacturingparameter engineeringprocess monitoringstainless steel

More Related Videos

Subsurface Defect Localization by Structured Heating Using Laser Projected Photothermal Thermography
11:34

Subsurface Defect Localization by Structured Heating Using Laser Projected Photothermal Thermography

Published on: May 15, 2017

11.1K
Production of Single Tracks of Ti-6Al-4V by Directed Energy Deposition to Determine the Layer Thickness for Multilayer Deposition
09:12

Production of Single Tracks of Ti-6Al-4V by Directed Energy Deposition to Determine the Layer Thickness for Multilayer Deposition

Published on: March 13, 2018

9.3K

Related Experiment Videos

Last Updated: Jun 28, 2025

Three-Dimensional Particle Shape Analysis Using X-ray Computed Tomography: Experimental Procedure and Analysis Algorithms for Metal Powders
10:10

Three-Dimensional Particle Shape Analysis Using X-ray Computed Tomography: Experimental Procedure and Analysis Algorithms for Metal Powders

Published on: December 4, 2020

1.8K
Subsurface Defect Localization by Structured Heating Using Laser Projected Photothermal Thermography
11:34

Subsurface Defect Localization by Structured Heating Using Laser Projected Photothermal Thermography

Published on: May 15, 2017

11.1K
Production of Single Tracks of Ti-6Al-4V by Directed Energy Deposition to Determine the Layer Thickness for Multilayer Deposition
09:12

Production of Single Tracks of Ti-6Al-4V by Directed Energy Deposition to Determine the Layer Thickness for Multilayer Deposition

Published on: March 13, 2018

9.3K

Area of Science:

  • Materials Science
  • Manufacturing Engineering
  • Additive Manufacturing

Background:

  • 316 L stainless steel is a common material in additive manufacturing.
  • Laser Powder Bed Fusion (LPBF) is a key additive manufacturing process.
  • Optimizing process parameters is crucial for defect-free components.

Purpose of the Study:

  • To investigate the correlation between Optical Tomography (OT) data and micrograph analyses.
  • To assess the potential of OT for in-situ monitoring and defect detection in LPBF.
  • To demonstrate parameter engineering for specialized additive manufacturing applications.

Main Methods:

  • Additively manufactured 316 L stainless steel specimens using LPBF.
  • Varied laser scan speed and laser power as process parameters.
  • Monitored process emissions using Optical Tomography.
  • Analyzed micrographs for defects (lack of fusion, porosity) using optical microscopy.

Main Results:

  • Established a correlation between OT grey values and the presence of critical defects.
  • Identified a threshold in OT grey values above which defect numbers increase.
  • Demonstrated that OT can partially be used independently for process parameter development.

Conclusions:

  • Optical Tomography is a valuable tool for in-situ monitoring of LPBF processes.
  • OT data can aid in the rapid development and optimization of process parameters.
  • This approach supports agile, component-specific parameter development for industrial needs.