Materials Map

Discover the materials research landscape. Find experts, partners, networks.

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The Materials Map is an open tool for improving networking and interdisciplinary exchange within materials research. It enables cross-database search for cooperation and network partners and discovering of the research landscape.

The dashboard provides detailed information about the selected scientist, e.g. publications. The dashboard can be filtered and shows the relationship to co-authors in different diagrams. In addition, a link is provided to find contact information.

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The Materials Map is still under development. In its current state, it is only based on one single data source and, thus, incomplete and contains duplicates. We are working on incorporating new open data sources like ORCID to improve the quality and the timeliness of our data. We will update Materials Map as soon as possible and kindly ask for your patience.

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in Cooperation with on an Cooperation-Score of 37%

Topics

Publications (3/3 displayed)

  • 2023Luminescent 3D printed poly(lactic acid) nanocomposites with enhanced mechanical properties13citations
  • 2022Fused filament fabrication of nylon 6/66 copolymer: parametric study comparing full factorial and Taguchi design of experimentscitations
  • 2012Preparation and properties of stepwise graded synthetic graphite/phenolic nanocompositescitations

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Chart of shared publication
Pol, Harshawardhan
1 / 3 shared
Shanmuganathan, Kadhiravan
1 / 5 shared
Nidhankar, Aakash D.
1 / 1 shared
Bateman, Stuart
2 / 6 shared
Sukumaran, Santosh Babu
1 / 1 shared
Yadav, Prashant
1 / 1 shared
Torris, Arun
1 / 3 shared
Rashed, Kaifur
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Bafekrpour, E.
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Habsuda, J.
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Fox, B. L.
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Yang, C.
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Naebe, Minoo
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Chart of publication period
2023
2022
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Co-Authors (by relevance)

  • Pol, Harshawardhan
  • Shanmuganathan, Kadhiravan
  • Nidhankar, Aakash D.
  • Bateman, Stuart
  • Sukumaran, Santosh Babu
  • Yadav, Prashant
  • Torris, Arun
  • Rashed, Kaifur
  • Bafekrpour, E.
  • Habsuda, J.
  • Fox, B. L.
  • Yang, C.
  • Naebe, Minoo
OrganizationsLocationPeople

article

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

  • Rashed, Kaifur
  • Bateman, Stuart
  • Kafi, Abdullah
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.

Topics
  • density
  • impedance spectroscopy
  • surface
  • theory
  • experiment
  • tomography
  • laser emission spectroscopy
  • strength
  • impact test
  • differential scanning calorimetry
  • copolymer
  • ductility
  • crystallinity
  • field-flow fractionation
  • mechanical and surface