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Numerical modelling of SS316L powder flowability for laser powder-bed fusion

Treść / Zawartość
Identyfikatory
Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
Purpose: This work aims to improve the powder-bed spreading process for laser powder bed fusion additive manufacturing by gaining a greater understanding of metal powder flowability through numerical modelling and in-situ experimentation. Design/methodology/approach: Using the Discrete Element Method (DEM) to study the flowability of the powder and its intrinsic properties. A high-fidelity particle-scale model was developed to capture the dynamics of metal particle interactions in a virtual Hall flow meter based on a modified Beverloo law. The results are validated experimentally using the Hall flow static powder characterisation technique. Findings: For SS316L powder alloy with the hall-value of 29s/50g and with an angle of repose (AOR) of 32°, the modelled powder that exhibited the same flow behaviour was found using 0.5 for both rolling and sliding coefficients resulting in simulated Hall value of 28.55s/50g with a simulated flow rate of 0.571 g/s, which is validated by AOR of the simulated powder [31.2°- 32.6°]. However, rolling friction had minimal effect on the mass flow rate but increased the angle of repose. Sliding friction significantly decreased the mass flow rate and increased AOR. Research limitations/implications: DEM is an ideal method to study flowability. However, there are certain constraints imposed on the computational power by a number of simulated particles and simulation time-step. Future research may involve investigating other dynamic flowability characterisation techniques. Practical implications: Enabling a better understanding of powder particle flow at a micro-scale by modelling powder flowability. This leads to simulating a more realistic powder bed and improving the powder spreading process, leading to better AM parts quality. Originality/value: This paper provides a unique approach for modelling the flowability of SS316L powder using a Beverloo law-based design of the Hall flow meter. This will improve the modelling of the spreading process needed for metal 3D printing.
Rocznik
Strony
22--29
Opis fizyczny
Bibliogr. 14 poz.
Twórcy
autor
  • Euro-Mediterranean University of Fez, Euromed Polytechnic School (EPS), Fès, Morocco
autor
  • Euro-Mediterranean University of Fez, Euromed Polytechnic School (EPS), Fès, Morocco
Bibliografia
  • [1] A. Bouabbou, S. Vaudreuil, Understanding laser-metal interaction in selective laser melting additive manufacturing through numerical modelling and simulation: a review, Virtual and Physical Prototyping 17/3 (2022) 543-562. DOI: https://doi.org/10.1080/17452759.2022.2052488
  • [2] K. Riener, N. Albrecht, S. Ziegelmeier, R. Ramakrishnan, L. Haferkamp, A.B. Spierings, G.J. Leichtfried, Influence of particle size distribution and morphology on the properties of the powder feedstock as well as of AlSi10Mg parts produced by laser powder bed fusion (LPBF), Additive Manufacturing 34 (2020) 101286. DOI: https://doi.org/10.1016/j.addma.2020.101286
  • [3] S. Yim, H. Bian, K. Aoyagi, K. Yamanaka, A. Chiba, Spreading behavior of Ti-48Al-2Cr-2Nb powders in powder bed fusion additive manufacturing process: Experimental and discrete element method study, Additive Manufacturing 49 (2022) 102489. DOI: https://doi.org/10.1016/j.addma.2021.102489
  • [4] Y. Ma, T. M. Evans, N. Philips, N. Cunningham, Numerical simulation of the effect of fine fraction on the flowability of powders in additive manufacturing, Powder Technology 360 (2020) 608-621. DOI: https://doi.org/10.1016/j.powtec.2019.10.041
  • [5] L. Dai, Y.R. Chan, G. Vastola, Y.W. Zhang, Discrete element simulation of powder flow in revolution powder analyser: Effects of shape factor, friction and adhesion, Powder Technology 408 (2022) 117790. DOI: https://doi.org/10.1016/j.powtec.2022.117790
  • [6] A. Phua, C. Doblin, P. Owen, C.H.J. Davies, G.W. Delaney, The effect of recoater geometry and speed on granular convection and size segregation in powder bed fusion, Powder Technology 394 (2021) 632-644. DOI: https://doi.org/10.1016/j.powtec.2021.08.058
  • [7] A. Angus, L.A.A. Yahia, R. Maione, M. Khala, C. Hare, A. Ozel, R. Ocone, Calibrating friction coefficients in discrete element method simulations with shear-cell experiments, Powder Technology 372 (2020) 290-304. DOI: https://doi.org/10.1016/j.powtec.2020.05.079
  • [8] C. Kloss and C. Goniva, LIGGGHTS – Open Source Discrete Element Simulations of Granular Materials Based on Lammps, in: TMS (eds), Supplemental Proceedings: Materials Fabrication, Properties, Characterization, and Modeling, John Wiley & Sons, Hoboken, 2011, 781-788. DOI: https://doi.org/10.1002/9781118062142.ch94
  • [9] ASTM B213-17. Test Methods for Flow Rate of Metal Powders Using the Hall Flowmeter Funnel, ASTM, 2020. DOI: https://doi.org/10.1520/B0213-17
  • [10] J. Zegzulka, D. Gelnar, L. Jezerska, R. Prokes, J. Rozbroj, Characterization and flowability methods for metal powders, Scientific Reports 10 (2020) 21004. DOI: https://doi.org/10.1038/s41598-020-77974-3
  • [11] S.J. Burns, P.T. Piiroinen, K.J. Hanley, Critical time step for DEM simulations of dynamic systems using a Hertzian contact model, International Journal for Numerical Methods in Engineering 119/5 (2019) 432- 451. DOI: https://doi.org/10.1002/nme.6056
  • [12] C. Mankoc, A. Janda, R. Arévalo, J.M. Pastor, I. Zuriguel, A. Garcimartín, D. Maza, The flow rate of granular materials through an orifice, Granular Matter 9/6 (2007) 407-414. DOI: https://doi.org/10.1007/s10035-007-0062-2
  • [13] K. Du, S. Li, S. Jie, X. Gao, Y. Yu, Effect of 316L stainless steel powder size distribution on selective laser melting process, Journal of Physics: Conference Series 1347 (2019) 012121. DOI: https://doi.org/10.1088/1742-6596/1347/1/012121
  • [14] L. Dai, Y. R. Chan, G. Vastola, N. Khan, S. Raghavan, Y.W. Zhang, Characterizing the intrinsic properties of powder – A combined discrete element analysis and Hall flowmeter testing study, Advanced Powder Technology 32/1 (2021) 80-87. DOI: https://doi.org/10.1016/j.apt.2020.11.015
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-01365ef3-e254-4e3a-acfd-234b56503741
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