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Fused filament fabrication of nylon 6/66 copolymer: parametric study comparing full factorial and Taguchi design of experiments

Kaifur Rashed (Centre for Additive Manufacturing, RMIT University, Melbourne, Australia and Department of Advanced Manufacturing and Materials Precinct, CSIRO Clayton, Clayton, Australia)
Abdullah Kafi (Centre for Additive Manufacturing, RMIT University, Melbourne, Australia)
Ranya Simons (Department of Advanced Manufacturing and Materials Precinct, CSIRO Clayton, Clayton, Australia)
Stuart Bateman (Centre for Additive Manufacturing, RMIT University, Melbourne, Australia)

Rapid Prototyping Journal

ISSN: 1355-2546

Article publication date: 20 January 2022

Issue publication date: 23 May 2022

314

Abstract

Purpose

Process parameters in Fused Filament Fabrication (FFF) can affect mechanical and surface properties of printed parts. Numerous studies have reported parametric studies of various materials using full factorial and Taguchi design of experiments (DoEs). However, a comparison between the two are not well-established in literature. The purpose of this study is to compare full factorial and Taguchi DoEs to determine the effects of FFF process parameters on mechanical and surface properties of Nylon 6/66 copolymer. In addition, perform in-depth failure mechanism analysis to understand why the process parameters affect the responses.

Design/methodology/approach

A full factorial DoE was used to determine the effects of FFF process parameters, such as infill density, infill pattern, layer height and raster angle on responses, such as compressive strength, impact strength, surface roughness and manufacturing time of Nylon 6/66. Micro-computed tomography was used to analyse the impact test samples before and after impact and scanning electron microscope was used to understand the failure mechanism of infill and top layers. Differential scanning calorimetry (DSC) scans of infill and top layers were then taken to determine if a variation in crystallinity existed in different regions of the build.

Findings

Analysis of variance and main effects plots reveal that infill density has the greatest effect on mechanical and surface properties while manufacturing time is most affected by layer height for the polymer used. A 20% reduction in infill increased impact strength by 19% on average, X-ray images of some of the samples before and after impact tests are presented to understand the reason behind the difference. Moreover, DSC revealed a difference in the degree of crystallinity between the infill and top layers for 80% infill density samples. In addition, Taguchi DoE is realized to be a more efficient technique to determine optimum process parameters for responses that vary linearly as it reduces experimental effort significantly while providing mostly accurate results.

Originality/value

To the author’s knowledge, no published paper has reported a comparison between predictive DoE method with full factorial DoE to verify their accuracy in determining the effects of FFF process parameters on properties of printed parts. Also, a theory was developed based on DSC results that as the infill is printed faster, it cools slowly compared to the top layers, and hence the infill is in a less crystalline state when compared to the top layers. This increased the ductility of the infill (of 80% infill samples) and thus improved impact absorption.

Keywords

Acknowledgements

This research was funded by Australian Government Research Training Program Scholarship and CSIRO. The authors acknowledge the facilities and technical assistance of Advanced Manufacturing Precinct and Australian Microscopy and Microanalysis Facility, both of which are part of RMIT University Melbourne City Campus.

Citation

Rashed, K., Kafi, A., Simons, R. and Bateman, S. (2022), "Fused filament fabrication of nylon 6/66 copolymer: parametric study comparing full factorial and Taguchi design of experiments", Rapid Prototyping Journal, Vol. 28 No. 6, pp. 1111-1128. https://doi.org/10.1108/RPJ-06-2021-0139

Publisher

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Emerald Publishing Limited

Copyright © 2022, Emerald Publishing Limited

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