Jove
Visualize
Contact Us

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

Tissue tracking under long-horizon occlusions with contrastive learning.

International journal of computer assisted radiology and surgery·2026
Same author

Mechanistic insights into the non-equilibrium thermodynamics of nitrogen fixation via acoustic cavitation.

Nature communications·2026
Same author

Adaptive average arterial pressure control by multi-agent on-policy reinforcement learning.

Scientific reports·2025
Same author

Experimental and Numerical Investigation of the Use of Ultrasonic Waves to Assist Laser Welding.

Materials (Basel, Switzerland)·2024
Same author

An Interactive Web-Based Platform for Support Generation and Optimisation for Metal Laser Powder Bed Fusion.

Materials (Basel, Switzerland)·2024
Same author

Analytical Simulation of the Microbubble Collapsing in a Welding Fusion Pool.

Materials (Basel, Switzerland)·2023
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 Experiment Video

Updated: Jul 10, 2025

Indirect Fabrication of Lattice Metals with Thin Sections Using Centrifugal Casting
08:32

Indirect Fabrication of Lattice Metals with Thin Sections Using Centrifugal Casting

Published on: May 14, 2016

12.5K

Support Structures Optimisation for High-Quality Metal Additive Manufacturing with Laser Powder Bed Fusion: A

Antonios Dimopoulos1, Mohamad Salimi2, Tat-Hean Gan1,2,3

  • 1Department of Mechanical and Aerospace Engineering, Brunel University London, Uxbridge UB8 3PH, UK.

Materials (Basel, Switzerland)
|November 25, 2023
PubMed
Summary

Optimizing support structures in metal additive manufacturing (AM) using Laser Powder Bed Fusion (LPBF) reduces residual stress and improves part quality. Block supports offer superior thermal performance, minimizing warping and enhancing component integrity.

Keywords:
additive manufacturinglaser powder bed fusionmetal support structuresmulti-objective optimisationnumerical modellingthermo-mechanical analysistitanium alloy

More Related Videos

Knowledge Based Cloud FE Simulation of Sheet Metal Forming Processes
11:05

Knowledge Based Cloud FE Simulation of Sheet Metal Forming Processes

Published on: December 13, 2016

12.2K
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: Jul 10, 2025

Indirect Fabrication of Lattice Metals with Thin Sections Using Centrifugal Casting
08:32

Indirect Fabrication of Lattice Metals with Thin Sections Using Centrifugal Casting

Published on: May 14, 2016

12.5K
Knowledge Based Cloud FE Simulation of Sheet Metal Forming Processes
11:05

Knowledge Based Cloud FE Simulation of Sheet Metal Forming Processes

Published on: December 13, 2016

12.2K
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
  • Mechanical Engineering
  • Manufacturing Technology

Background:

  • Metal Additive Manufacturing (AM) enables complex, lightweight components.
  • Laser Powder Bed Fusion (LPBF) is a key AM technique but suffers from high residual stress, leading to part defects and failures.

Purpose of the Study:

  • To evaluate the thermal behavior of various support structures in LPBF.
  • To optimize support designs for reduced support volume and residual stress.
  • To ensure high-quality prints in metal AM processes.

Main Methods:

  • Experimental printing of L-shaped specimens using block-type supports on an LPBF machine.
  • Numerical simulations to validate experimental findings and analyze line, contour, and cone supports.
  • Design of Experiments (DOE) and multi-objective optimization for support structure assessment.

Main Results:

  • Block supports demonstrated excellent thermal behavior during the LPBF process.
  • High-density supports showed better temperature distribution compared to low-density supports.
  • Cone-type supports were found to be more prone to warping issues.

Conclusions:

  • Support structure design significantly impacts thermal behavior and residual stress in LPBF.
  • Block and high-density supports are effective in mitigating defects and improving print quality.
  • Findings offer guidance for advancing metal AM applications in aerospace, medical, and automotive sectors.