To read this content please select one of the options below:

Correlation analysis of feedstock flowability and temperature for laser-based powder bed fusion of polymers

Raphael Timothy Steffen (Department of Mechanical and Process Engineering, ETH Zurich, Zurich, Switzerland)
Michael Robert Tucker (Department of Mechanical and Process Engineering, ETH Zurich, Zurich, Switzerland)
Francesco Sillani (Additive Manufacturing – 3D Printing, Inspire AG, St. Gallen, Switzerland and Department of Mechanical and Process Engineering, ETH Zurich, Zurich, Switzerland)
Denis Schütz (Anton Paar GmbH, Graz, Austria)
Markus Bambach (Department of Mechanical and Process Engineering, ETH Zurich, Zurich, Switzerland)

Rapid Prototyping Journal

ISSN: 1355-2546

Article publication date: 28 August 2024

Issue publication date: 18 November 2024

91

Abstract

Purpose

For additive manufacturing (AM) through laser-based powder bed fusion of polymers (PBF-LB/P), accurate characterization of powder flowability is vital for achieving high-quality parts. However, accurately characterizing feedstock flowability presents challenges because of a lack of consensus on which tests to perform and the diverse forces and mechanisms involved. This study aims to undertake a thorough investigation into the flowability of eight feedstock materials for PBF-LB/P at different temperatures using various techniques.

Design/methodology/approach

For ambient temperature assessments, established metrics such as avalanche angle and Hausner ratio, along with the approximated flow function coefficient (FFCapp), are used. The study then focuses on the influence of elevated temperatures representative of in-process conditions. FFCapp and differential scanning calorimetry (DSC) are performed and analyzed, followed by a correlation analysis as a holistic approach to identify key aspects for flowability. Furthermore, two feedstock materials are compared with a previous study to connect the present findings to PBF-LB/P processing.

Findings

The study revealed intrinsic material properties such as mechanical softening near the melting point to become significant. This partially explains why certain powders with poor ambient temperature flowability are consistently demonstrated to produce high-quality parts. FFCapp and thermal characterization through DSC are identified as critical metrics for optimizing feedstock material characteristics across temperature ranges.

Originality/value

Previous studies emphasized specific characterizations of feedstock material at ambient temperature, presented a limited materials selection or focused on metrics such as shape factors. In contrast, this study addresses a partially understood aspect by examining the critical role of temperature in governing feedstock material flowability. It advocates for the inclusion of temperature variables in flowability analyses to closely resemble the PBF-LB/P process, which can be applied to material design, selection and process optimization.

Keywords

Acknowledgements

The authors gratefully acknowledge Dr. Manfred Schmid for his invaluable assistance in the preparation of this manuscript. Furthermore, the authors would like to express their sincere appreciation to EOS GmbH for generously providing us with PEEK feedstock material, which contributed to the success of this project. No funding was used for this research.

Citation

Steffen, R.T., Tucker, M.R., Sillani, F., Schütz, D. and Bambach, M. (2024), "Correlation analysis of feedstock flowability and temperature for laser-based powder bed fusion of polymers", Rapid Prototyping Journal, Vol. 30 No. 10, pp. 2043-2055. https://doi.org/10.1108/RPJ-04-2024-0171

Publisher

:

Emerald Publishing Limited

Copyright © 2024, Emerald Publishing Limited

Related articles