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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Materials Map under construction

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 (5/5 displayed)

  • 2023Statistical-based optimization of fused filament fabrication parameters for short-carbon-fiber-reinforced poly-ether-ether-ketone considering multiple loading conditions8citations
  • 2023On the fully additive manufacturing of PC/AlSi10Mg hybrid structures14citations
  • 2022Directed energy deposition processes and process design by artificial intelligence4citations
  • 2019Additive Manufacturing of Metal-Polymer Hybrid Parts: Relevant Aspects and Potential Techniques – A Reviewcitations
  • 2018On the feasibility of Friction Surfacing as an Additive Manufacturing techniquecitations

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Chart of shared publication
Sergio, T. Amancio-Filho
5 / 61 shared
Carvalho, W. S. De
2 / 10 shared
Petersmann, Sandra
1 / 13 shared
Arbeiter, Florian
1 / 1 shared
Marzemin, Francesco
1 / 1 shared
Canto, Leonardo Bresciani
1 / 9 shared
Marcatto De Oliveira, Gean Henrique
1 / 5 shared
Effertz, Pedro
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Enzinger, Norbert
1 / 96 shared
G., Rafael Paiotti M.
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Pixner, Florian
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Co-Authors (by relevance)

  • Sergio, T. Amancio-Filho
  • Carvalho, W. S. De
  • Petersmann, Sandra
  • Arbeiter, Florian
  • Marzemin, Francesco
  • Canto, Leonardo Bresciani
  • Marcatto De Oliveira, Gean Henrique
  • Effertz, Pedro
  • Enzinger, Norbert
  • G., Rafael Paiotti M.
  • Pixner, Florian
OrganizationsLocationPeople

article

Statistical-based optimization of fused filament fabrication parameters for short-carbon-fiber-reinforced poly-ether-ether-ketone considering multiple loading conditions

  • Sergio, T. Amancio-Filho
  • Carvalho, W. S. De
  • Petersmann, Sandra
  • Arbeiter, Florian
  • Feliciano, Carlos Alberto Belei
  • Marzemin, Francesco
Abstract

<p>Fused filament fabrication (FFF) is one of the most widely used additive manufacturing processes and allows the production of complex parts. FFF can manufacture lightweight and strong structural components when processing high-performance carbon-fiber-reinforced thermoplastics. Although the process feasibility for printing 20% short-carbon-fiber reinforced PEEK was already demonstrated in the literature, a systematic study addressing the influence of printing parameters on different loading conditions is still lacking. Therefore, the present study investigates the influence of selected FFF parameters – i.e., layer height (LH), printing temperature (PT) and printing speed (PS) – on three mechanical properties: tensile (UTS), bending (UBS), and impact (UIS) ultimate strengths. The analyzed samples were printed and tested according to a central composite design of experiments, and each parameter's individual and combined effects were assessed by analysis of variance (ANOVA). Different regression models were obtained for each test, allowing the optimization of the parameters for each condition and resulting in three distinct optimized parameter sets. The relationship between parameters and microstructure was also assessed via fractography analyses, showing that lower LH and PS reduce the number and size of volumetric defects observed within the printed parts, as lower values improve interlayer cohesion. Contrarily, PT showed that average values (around 385 °C) benefit the microstructure the most, as higher temperatures result in larger defects and low temperatures reduce interlayer cohesion. Finally, the contour plots of the three produced models were overlaid to identify a universal parameter set capable of simultaneously correlating and maximizing all three performances. This procedure allowed the identification of the following optimized values: LH of 0.1 mm, PT of 385 °C and PS of 17.5 mm/s, resulting in the experimental UTS, UBS and UIS values of 116.7 ± 5 MPa, 167.2 ± 11 MPa and 28.2 ± 3 kJ/m<sup>2</sup>.</p>

Topics
  • impedance spectroscopy
  • microstructure
  • Carbon
  • experiment
  • strength
  • composite
  • defect
  • thermoplastic
  • ketone
  • additive manufacturing
  • fractography
  • field-flow fractionation