Analysis of radiation pressure and aerodynamic forces acting on powder grains in powder-based additive manufacturing

Sina Haeri, Soroush Haeri, Jack Hanson, Saeid Lotfian

Research output: Contribution to journalArticle

1 Citation (Scopus)

Abstract

Selection of process parameters is an important step in Powder-Based Additive Manufacturing (PBAM) of metals. In order to achieve an optimal parameter set, current literature is mainly focused on the understanding of powder dynamics by analysing the aerodynamic forces. In this letter, however, we show the importance of the laser induced force (radiation pressure) on the powder dynamics. Generalised Lorenz-Mie theory has been employed to accurately estimate the radiation pressure and it is shown that its magnitude is significant in comparison to various aerodynamic forces and the grains weight, hence, can significantly contribute to denudation and spatter observed in the manufacturing process. Furthermore, the importance of compressibility and rarefaction effects on the magnitude of drag and lift forces that a particle experiences is demonstrated by estimating the Ma and Kn numbers under process conditions, which directly impact the powder dynamics.

Original languageEnglish
Pages (from-to)125-129
Number of pages5
JournalPowder Technology
Volume368
Early online date17 Apr 2020
DOIs
Publication statusPublished - 15 May 2020

Keywords

  • additive manufacturing
  • powder bed
  • laser radiation pressure
  • powder dynamics

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    Research Output

    • 1 Citations
    • 3 Article
    • 1 Abstract

    Effects of particle elongation on the binary coalescence dynamics of powder grains for Laser sintering applications

    Haeri, S., Benedetti, L. & Ghita, O., 1 Mar 2020, In : Powder Technology. 363, p. 245-255 11 p.

    Research output: Contribution to journalArticle

  • 4 Citations (Scopus)

    Rheological and microstructural properties of elongated particles

    Berry, N. & Haeri, S., 28 Oct 2019. 1 p.

    Research output: Contribution to conferenceAbstract

    Optimisation of blade type spreaders for powder bed preparation in additive manufacturing using DEM simulations

    Haeri, S., 30 Nov 2017, In : Powder Technology. 321, p. 94-104 11 p.

    Research output: Contribution to journalArticle

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