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

Mollah, Md. Tusher

  • Google
  • 17
  • 26
  • 160

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

thesis

Computational Fluid Dynamics Modelling and Experimental Analysis of Material Extrusion Additive Manufacturing

  • Mollah, Md. Tusher
Abstract

This PhD dissertation concerns the Computational Fluid Dynamics (CFD) modelling and experimental analysis of Material Extrusion Additive Manufacturing (MEX-AM). MEX-AM is an umbrella term that includes Fused Deposition Modelling (FDM), Robocasting (RC), and 3D Concrete Printing (3DCP). The technology offers fabrication of parts/structures on various scales using a wide range of materials. Despite it being a popular fabrication method, the technology faces several challenges that are yet to be solved. Some of the challenges are addressed in this dissertation. Specifically, numerical and experimental work is presented on FDM printing of dimensional accurate corners. Furthermore, simulations are carried out to study the geometrical stability (i.e., uniform size) of layers produced by RC and 3DCP. Finally, simulations and experiments are exploited to investigate the possibility of integrating reinforcement bars with 3DCP.<br/><br/>The dissertation outlines the governing equations for the deposition of materials in MEX-AM. It discusses constitutive models such as Newtonian, generalized Newtonian, and elasto-viscoplastic fluid, and how they can be used to simulate MEX-AM of different materials. Subsequently, experimental details and the post-processing of results are presented. Finally, the results are presented in seven appended publications.<br/><br/>The study on the deposition of corners is carried out and compared for different corner angles and for two different extruders, Bowden and direct drive. The Bowden extruder cannot control the amount of material extruded during the nozzle movement at the corner, whereas the direct drive can. It is found that the direct drive extruder produces a more rounded edge at the outer side of the corner. Furthermore, the study enabled novel insight into the accuracy of the CFD model and the state of the material at the corners, as well as the discrepancy between experimental, analytical, and simulation results.<br/><br/>Three different printing strategies are considered when analysing the geometrical stability of layers: wet-on-wet, wet-on-semisolid, and wet-on-solid printing. In wet-on-wet printing, a wet layer is printed on top of a wet layer (i.e., the material properties do not change over time). In the other two cases, the printed layer is semi-solidified or solidified. The cross-section of deposited layers, deformation of the bottom layer, and extrusion pressure are studied when printing wet-on-wet for different material properties (i.e., yield stress and plastic viscosity) and processing parameters (i.e., extrusion speed, printing speed, nozzle diameter, and layer height). The results illustrate that the deformation is highly dependent on these parameters. In addition, the simulations show that the deformation can be reduced but not eliminated, i.e., a stable print without deformation cannot be obtained by wet-on-wet printing. The wet-on-solid printing simulations illustrate stable printing and give a conservative estimate of the yield stress required by the already printed layer in order not to deform. The wet-on-semisolid printing is simulated using a yield stress buildup of the already printed layer. The yield stress buildup is modelled by applying a scalar approach that changes the materials’ property between the layers. Based on the results, it is demonstrated that altering the process parameters can reduce the requirement for the yield stress buildup, while still print stable layers.<br/><br/>The bonding between rebars and deposited concrete is analysed in terms of the formation of air voids inside the structure. The simulated cross-sectional shapes of the printed structure are compared with experiments and are found to capture the formation of air voids accurately. The CFD models are applied to analyse three scenarios: no rebar, a horizontal rebar, and cross-shaped rebars. The models illustrate that by changing the process parameters one can eliminate the air voids around the horizontal rebar, while alterations in the toolpath and rebar geometry are necessary to fully mitigate air voids when printing around cross-shaped rebars.

Topics
  • Deposition
  • impedance spectroscopy
  • polymer
  • experiment
  • simulation
  • extrusion
  • viscosity
  • void
  • material extrusion