Materials Map

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

  • About
  • Privacy Policy
  • Legal Notice
  • Contact

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.

×

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.

To Graph

1.080 Topics available

To Map

977 Locations available

693.932 PEOPLE
693.932 People People

693.932 People

Show results for 693.932 people that are selected by your search filters.

←

Page 1 of 27758

→
←

Page 1 of 0

→
PeopleLocationsStatistics
Naji, M.
  • 2
  • 13
  • 3
  • 2025
Motta, Antonella
  • 8
  • 52
  • 159
  • 2025
Aletan, Dirar
  • 1
  • 1
  • 0
  • 2025
Mohamed, Tarek
  • 1
  • 7
  • 2
  • 2025
Ertürk, Emre
  • 2
  • 3
  • 0
  • 2025
Taccardi, Nicola
  • 9
  • 81
  • 75
  • 2025
Kononenko, Denys
  • 1
  • 8
  • 2
  • 2025
Petrov, R. H.Madrid
  • 46
  • 125
  • 1k
  • 2025
Alshaaer, MazenBrussels
  • 17
  • 31
  • 172
  • 2025
Bih, L.
  • 15
  • 44
  • 145
  • 2025
Casati, R.
  • 31
  • 86
  • 661
  • 2025
Muller, Hermance
  • 1
  • 11
  • 0
  • 2025
Kočí, JanPrague
  • 28
  • 34
  • 209
  • 2025
Šuljagić, Marija
  • 10
  • 33
  • 43
  • 2025
Kalteremidou, Kalliopi-ArtemiBrussels
  • 14
  • 22
  • 158
  • 2025
Azam, Siraj
  • 1
  • 3
  • 2
  • 2025
Ospanova, Alyiya
  • 1
  • 6
  • 0
  • 2025
Blanpain, Bart
  • 568
  • 653
  • 13k
  • 2025
Ali, M. A.
  • 7
  • 75
  • 187
  • 2025
Popa, V.
  • 5
  • 12
  • 45
  • 2025
Rančić, M.
  • 2
  • 13
  • 0
  • 2025
Ollier, Nadège
  • 28
  • 75
  • 239
  • 2025
Azevedo, Nuno Monteiro
  • 4
  • 8
  • 25
  • 2025
Landes, Michael
  • 1
  • 9
  • 2
  • 2025
Rignanese, Gian-Marco
  • 15
  • 98
  • 805
  • 2025

Kumar, Vipin

  • Google
  • 14
  • 28
  • 66

in Cooperation with on an Cooperation-Score of 37%

Topics

Publications (14/14 displayed)

  • 2024Vertical z-axis discontinuous carbon fibers for elevated lightning strike performance of continuous fiber-reinforced polymer composites1citations
  • 2024Numerical modeling of fiber orientation in multi-layer, isothermal material-extrusion big area additive manufacturing5citations
  • 2023Modeling fiber orientation and strand shape morphology in three-dimensional material extrusion additive manufacturing18citations
  • 2023Modeling fiber orientation and strand shape morphology in three-dimensional material extrusion additive manufacturing18citations
  • 2023The influence of carbon fiber composite specimen design parameters on artificial lightning strike current dissipation and material thermal damage6citations
  • 2023Enhanced lightning strike protection using vertically oriented carbon fiber melded with conventional carbon fiber-reinforced composite and its validation through damage analysiscitations
  • 2023Numerical modeling of fiber orientation in additively manufactured composites6citations
  • 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
  • 2020Electrically conductive carbon fiber layers as lightning strike protection for non-conductive epoxy-based CFRP substrate6citations
  • 2016Synthesis and characterization of multiwalled CNT–PAN based composite carbon nanofibers via electrospinningcitations

Places of action

Chart of shared publication
Hmeidat, Nadim S.
1 / 2 shared
Kunc, Vlastimil
2 / 3 shared
Millen, Scott L. J.
1 / 2 shared
Saha, Subhabrata
2 / 2 shared
Hassen, Ahmed Arabi
3 / 4 shared
Spangenberg, Jon
9 / 76 shared
Sandberg, Michael
5 / 10 shared
Mollah, Md. Tusher
7 / 17 shared
Pokkalla, Deepak Kumar
5 / 5 shared
Šeta, Berin
5 / 7 shared
Brander, Marco
7 / 9 shared
Pokkalla, Deepak
2 / 2 shared
Tusher Mollah, Md.
1 / 1 shared
Murphy, Adrian
2 / 52 shared
Millen, Scott
2 / 9 shared
Vaidya, Uday
1 / 3 shared
Hmeidat, Nadim
1 / 1 shared
Theodore, Merlin
1 / 2 shared
Park, Chanyeop
1 / 1 shared
Knouff, Brian
1 / 1 shared
Yeole, Pritesh
1 / 1 shared
Mollah, Tusher
1 / 1 shared
Kumar Pokkalla, Deepak
2 / 2 shared
Arabi Hassen, Ahmed
1 / 1 shared
Kim, Seokpum
4 / 5 shared
Seta, Berin
4 / 6 shared
Dhakate, Sanjay
1 / 1 shared
Kaur, Narinder
1 / 2 shared
Chart of publication period
2024
2023
2022
2020
2016

Co-Authors (by relevance)

  • Hmeidat, Nadim S.
  • Kunc, Vlastimil
  • Millen, Scott L. J.
  • Saha, Subhabrata
  • Hassen, Ahmed Arabi
  • Spangenberg, Jon
  • Sandberg, Michael
  • Mollah, Md. Tusher
  • Pokkalla, Deepak Kumar
  • Šeta, Berin
  • Brander, Marco
  • Pokkalla, Deepak
  • Tusher Mollah, Md.
  • Murphy, Adrian
  • Millen, Scott
  • Vaidya, Uday
  • Hmeidat, Nadim
  • Theodore, Merlin
  • Park, Chanyeop
  • Knouff, Brian
  • Yeole, Pritesh
  • Mollah, Tusher
  • Kumar Pokkalla, Deepak
  • Arabi Hassen, Ahmed
  • Kim, Seokpum
  • Seta, Berin
  • Dhakate, Sanjay
  • Kaur, Narinder
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