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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1.080 Topics available

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Mollah, Md. Tusher

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Technical University of Denmark

in Cooperation with on an Cooperation-Score of 37%

Topics

Publications (17/17 displayed)

  • 2024Numerical modeling of fiber orientation in multi-layer, isothermal material-extrusion big area additive manufacturing5citations
  • 2024Optimization of core groove geometry for the manufacture and operation of composite sandwich structures in wind turbine bladescitations
  • 2024Computational fluid dynamics modelling of vacuum-assisted resin infusion in composite sandwich panels during wind turbine blade manufacturingcitations
  • 2024Rheology and printability of cement paste modified with filler from manufactured sandcitations
  • 2023Modeling fiber orientation and strand shape morphology in three-dimensional material extrusion additive manufacturing18citations
  • 2023Computational analysis of yield stress buildup and stability of deposited layers in material extrusion additive manufacturing25citations
  • 2023Computational Fluid Dynamics Modelling and Experimental Analysis of Material Extrusion Additive Manufacturingcitations
  • 2023Numerical modeling of fiber orientation in additively manufactured composites6citations
  • 2022Modelling Fiber Orientation During Additive Manufacturing-Compression Molding Processescitations
  • 2022Modelling Fiber Orientation During Additive Manufacturing-Compression Molding Processescitations
  • 2022Modelling of Additive Manufacturing - Compression Molding Process Using Computational Fluid Dynamicscitations
  • 2022Modelling of Additive Manufacturing - Compression Molding Process Using Computational Fluid Dynamicscitations
  • 2022Numerical Predictions of Bottom Layer Stability in Material Extrusion Additive Manufacturing7citations
  • 2022A Numerical Investigation of the Inter-Layer Bond and Surface Roughness during the Yield Stress Buildup in Wet-On-Wet Material Extrusion Additive Manufacturingcitations
  • 2022A Numerical Investigation of the Inter-Layer Bond and Surface Roughness during the Yield Stress Buildup in Wet-On-Wet Material Extrusion Additive Manufacturingcitations
  • 2021Stability and deformations of deposited layers in material extrusion additive manufacturing62citations
  • 2021Numerical simulation of multi-layer 3D concrete printing37citations

Places of action

Chart of shared publication
Spangenberg, Jon
16 / 76 shared
Sandberg, Michael
3 / 10 shared
Pokkalla, Deepak Kumar
4 / 5 shared
Šeta, Berin
4 / 7 shared
Brander, Marco
7 / 9 shared
Kumar, Vipin
7 / 14 shared
Pierce, Robert S.
2 / 12 shared
Larionov, Maksim
2 / 2 shared
Boyer, Julie
1 / 1 shared
Sannerud, Stian Y.
1 / 1 shared
Jacobsen, Stefan
1 / 15 shared
Haghighat, Negin
1 / 1 shared
Pokkalla, Deepak
1 / 2 shared
Serdeczny, Marcin
4 / 9 shared
Kumar Pokkalla, Deepak
2 / 2 shared
Arabi Hassen, Ahmed
1 / 1 shared
Kim, Seokpum
4 / 5 shared
Seta, Berin
6 / 6 shared
Hassen, Ahmed Arabi
1 / 4 shared
Pedersen, David Bue
3 / 81 shared
Serdeczny, Marcin P.
1 / 5 shared
Comminal, Raphaël
1 / 9 shared
Pedersen, David B.
1 / 9 shared
Stang, Henrik
1 / 70 shared
Silva, Wilson Ricardo Leal Da
1 / 2 shared
Andersen, Thomas Juul
1 / 2 shared
Chart of publication period
2024
2023
2022
2021

Co-Authors (by relevance)

  • Spangenberg, Jon
  • Sandberg, Michael
  • Pokkalla, Deepak Kumar
  • Šeta, Berin
  • Brander, Marco
  • Kumar, Vipin
  • Pierce, Robert S.
  • Larionov, Maksim
  • Boyer, Julie
  • Sannerud, Stian Y.
  • Jacobsen, Stefan
  • Haghighat, Negin
  • Pokkalla, Deepak
  • Serdeczny, Marcin
  • Kumar Pokkalla, Deepak
  • Arabi Hassen, Ahmed
  • Kim, Seokpum
  • Seta, Berin
  • Hassen, Ahmed Arabi
  • Pedersen, David Bue
  • Serdeczny, Marcin P.
  • Comminal, Raphaël
  • Pedersen, David B.
  • Stang, Henrik
  • Silva, Wilson Ricardo Leal Da
  • Andersen, Thomas Juul
OrganizationsLocationPeople

article

Numerical modeling of fiber orientation in additively manufactured composites

  • Spangenberg, Jon
  • Sandberg, Michael
  • Mollah, Md. Tusher
  • Pokkalla, Deepak Kumar
  • Šeta, Berin
  • Brander, Marco
  • Kumar, Vipin
Abstract

Additive manufacturing has undergone a significant transformation, evolving from a mere prototyping technique to a reliable and proven manufacturing technology that can produce products of varying sizes and materials. The incorporation of fibers in additive manufacturing processes has the potential to improve a range of material properties, including mechanical, thermal, and electrical properties. However, this improvement is largely dependent on the orientation of the fibers within the material, with the properties being enhanced primarily in the direction of fiber orientation. As a result, accurately predicting and controlling the fiber orientation during the extrusion or deposition process is critical. Various methods are available to control fiber orientation, such as manipulating the nozzle shape, extrusion and nozzle speed, the gap between the nozzle and substrate, as well as fiber features like aspect ratio and volume fraction. At the same time, the presence and orientation of fibers can significantly impact the flow pattern and extrusion pressure conditions, ultimately affecting the formation of printed strands in a manner distinct from those without fibers. For that reason, our study utilizes computational fluid dynamics to anticipate and comprehend the printing conditions that would result in favorable fiber orientations and strand shapes, incl. corner printing. Our findings may be utilized to determine optimal toolpaths for 3D printing composites, as well as printing conditions that will facilitate the achievement of the desired fiber orientation within individual strands.

Topics
  • Deposition
  • impedance spectroscopy
  • extrusion
  • composite
  • additive manufacturing