Jove
Visualize
Contact Us

Related Concept Videos

Metallic Solids02:37

Metallic Solids

16.4K
Metallic solids such as crystals of copper, aluminum, and iron are formed by metal atoms. The structure of metallic crystals is often described as a uniform distribution of atomic nuclei within a “sea” of delocalized electrons. The atoms within such a metallic solid are held together by a unique force known as metallic bonding that gives rise to many useful and varied bulk properties.
All metallic solids exhibit high thermal and electrical conductivity, metallic luster, and...
16.4K
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
  1. Home
  3. Improved Accuracy Of Continuum Surface Flux Models For Metal Additive Manufacturing Melt Pool Simulations.
  1. Home
  3. Improved Accuracy Of Continuum Surface Flux Models For Metal Additive Manufacturing Melt Pool Simulations.

Related Experiment Video

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

Improved accuracy of continuum surface flux models for metal additive manufacturing melt pool simulations.

Nils Much1, Magdalena Schreter-Fleischhacker1, Peter Munch2,3

  • 1Institute for Computational Mechanics, Technical University of Munich, Boltzmannstrasse 15, Garching, 85748 Germany.

Advanced Modeling and Simulation in Engineering Sciences
|August 26, 2024

View abstract on PubMed

Summary
This summary is machine-generated.

Accurate melt pool temperature prediction is crucial for understanding defects in laser-based powder bed fusion metal additive manufacturing (PBF-LB/M). A new parameter-scaled continuum surface flux (CSF) method significantly improves accuracy and reduces computational cost.

Keywords:
Continuum surface flux modelFinite element methodLaser powder bed fusion additive manufacturingMelt pool thermo-hydrodynamicsMulti-phase heat transfer

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

12.1K
Surrogate Model Development for Digital Experiments in Welding
09:17

Surrogate Model Development for Digital Experiments in Welding

Published on: March 28, 2025

728

Related Experiment Videos

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

12.1K
Surrogate Model Development for Digital Experiments in Welding
09:17

Surrogate Model Development for Digital Experiments in Welding

Published on: March 28, 2025

728

Area of Science:

  • Computational physics
  • Materials science
  • Additive manufacturing

Background:

  • Laser-based powder bed fusion metal additive manufacturing (PBF-LB/M) involves complex melt pool dynamics.
  • Evaporation-induced recoil pressure and cooling are key drivers of fluid dynamics and temperature evolution.
  • Accurate prediction of melt pool surface temperature is essential for understanding defect generation.

Purpose of the Study:

  • To investigate the accuracy of classical continuum surface flux (CSF) methods in modeling PBF-LB/M melt pools.
  • To develop a novel, more accurate, and computationally efficient modeling approach for PBF-LB/M.

Main Methods:

  • Utilized a diffuse interface finite element model with a continuum surface flux (CSF) description.
  • Analyzed dimensionally reduced thermal two-phase problems representative of PBF-LB/M.
  • Developed and applied a novel parameter-scaled CSF approach.

    • Main Results:

    • Classical CSF approaches exhibit significant errors in interface temperatures and fluxes due to extreme gradients and material property ratios.
    • The proposed parameter-scaled CSF approach yields smoother temperature fields and significantly increases solution accuracy.
    • The parameter-scaled CSF approach requires an interface thickness at least one order of magnitude smaller than classical CSF, reducing computational costs.

    Conclusions:

    • Classical CSF methods are insufficient for accurate melt pool modeling in PBF-LB/M.
    • The parameter-scaled CSF approach offers a more accurate and computationally efficient alternative for simulating PBF-LB/M.
    • This improved modeling capability can enhance the understanding and mitigation of defects in metal additive manufacturing.