A Numerical Model for Predicting Powder Characteristics in LMD Considering Particle Interaction

Ahmet Guner, Prveen Bidare, Amaia Jiménez*, Chang Shu, Nikolina Kovacev, Khamis Essa*

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

7 Downloads (Pure)

Abstract

In this work, a numerical model is proposed to analyze the influence of particle-particle interaction in laser directed energy deposition or LMD (laser metal deposition) of CM247 Ni-based superalloy. The model is based on the analysis of contact between particles and the potential agglomeration of powder to predict powder conditions at the nozzle exit. Simulation results were experimentally validated and a good agreement was observed. At the nozzle exit mainly large particles (>100 µm) are found and small ones (<10 µm) tend to flow away from this region. This was also observed in the experimental PSD. Additionally, based on the relative velocity of particles, simulations are able to predict the formation of dents. In comparing virgin powder PSD and the one at the nozzle exit, it was observed that largest particles are collected at the exit. In order to explain this phenomena, particle agglomeration was analysed numerically. It was seen that small particles tend to adhere to the big ones due to their higher adhesive forces, which would explain the change in PSD.
Original languageEnglish
Article number104348
Number of pages13
JournalAdvanced Powder Technology
Volume35
Issue number3
Early online date5 Feb 2024
DOIs
Publication statusPublished - Mar 2024

Keywords

  • Additive manufacturing
  • coaxial nozzle
  • directed energy deposition
  • agglomeration
  • particle adhesion

Fingerprint

Dive into the research topics of 'A Numerical Model for Predicting Powder Characteristics in LMD Considering Particle Interaction'. Together they form a unique fingerprint.

Cite this