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Experimental characterisation of the spreading of polymeric powders in powder bed fusion additive manufacturing process at changing temperature conditions

Lookup NU author(s): Sina Zinatlou Ajabshir, Dr Colin HareORCiD

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This work is licensed under a Creative Commons Attribution 4.0 International License (CC BY 4.0).


Abstract

© 2024 The Society of Powder Technology Japan. This study investigates the spreadability behaviour of four different polymeric materials, namely Polyamide 6, Polyamide 6 Black, Polypropylene, and Thermoplastic Polyurethane, under different spreading speeds (30 and 3 mm/s) and powder bed temperatures (25, 80, 110 °C) using a purposely developed experimental apparatus. Macroscopic and microscopic images of the powder layer were taken after completing the powder spreading step. A thresholding-based image processing method was utilised to evaluate the fraction of the bed area not covered by particles (NCF), and the standard deviation of pixel intensities in grayscale images (SDG) was calculated to evaluate powder layer quality in macroscopic images. NCF and SDG can provide quantitative evaluation of the quality of the spread layer, NCF in a logarithmic scale ranking and SDG in a linear scale ranking. A wavelet analysis technique was developed on microscopic panorama images obtained with grazing light to characterise the surface roughness of the layer. Results indicate that the spreadability generally worsens much more significantly than powder flow properties at increasing temperatures and, remarkably, that flowability and spreadability are unrelated. As expected, the temperature effect on powder spreading changes for the different powders are mostly governed by the approach to the powder melting temperature. Minor effects on the final layer quality were also observed at changing spreading speed.


Publication metadata

Author(s): Zinatlou Ajabshir S, Sofia D, Hare C, Barletta D, Poletto M

Publication type: Article

Publication status: Published

Journal: Advanced Powder Technology

Year: 2024

Volume: 35

Issue: 4

Print publication date: 01/04/2024

Online publication date: 28/03/2024

Acceptance date: 22/03/2024

Date deposited: 13/06/2024

ISSN (print): 0921-8831

ISSN (electronic): 1568-5527

Publisher: Elsevier BV

URL: https://doi.org/10.1016/j.apt.2024.104412

DOI: 10.1016/j.apt.2024.104412


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Funding

Funder referenceFunder name
813202
European Union Horizon 2020
MATHEGRAM

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