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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Naji, M.
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in Cooperation with on an Cooperation-Score of 37%

Topics

Publications (43/43 displayed)

  • 2024Synthesis, properties, applications, 3D printing and machine learning of graphene quantum dots in polymer nanocomposites73citations
  • 2024A data-driven model on the thermal transfer mechanism of composite phase change materials2citations
  • 2024A data-driven model on the thermal transfer mechanism of composite phase change materials2citations
  • 2024Adaptive Control of Melt Pressure in Polymer Extrusion Processes Using Extremum-Seeking Controlcitations
  • 2024Investigation of the effect of reprocessing on thermal and mechanical properties of polymers and polymer nanocomposites4citations
  • 2024Mechanical properties of LDPE and PS polymer matrix composites reinforced with GNP and CF — A critical review4citations
  • 2024Adaptive Neuro-Fuzzy Controller for Real-Time Melt Pressure Control in Polymer Extrusion Processescitations
  • 2024Infusion Simulation of Graphene-Enhanced Resin in LCM for Thermal and Chemo-Rheological Analysis1citations
  • 2024MXene-Embedded Porous Carbon-Based Cu2O Nanocomposites for Non-Enzymatic Glucose Sensors19citations
  • 2024Stimuli-Responsive Codelivery System-Embedded Polymeric Nanofibers with Synergistic Effects of Growth Factors and Low-Intensity Pulsed Ultrasound to Enhance Osteogenesis Properties7citations
  • 2024MXene-Embedded Porous Carbon-Based Cu 2 O Nanocomposites for Non-Enzymatic Glucose Sensors19citations
  • 2024Effects of Latex Type and Processed-Mica Waste Loading on the Structural and Thermo-Physical Properties of Natural Rubber Latex Foam Composites6citations
  • 2024Investigation of the effect of materials and processing conditions in twin-screw extrusion11citations
  • 2023A Numerical Thermo-Chemo-Flow Analysis of Thermoset Resin Impregnation in LCM Processes4citations
  • 2023Investigation of the effect of the degree of hollowness and internal cavity structure on the mechanical properties of 3D-printed materials7citations
  • 2023Investigation of the effect of the degree of hollowness and internal cavity structure on the mechanical properties of 3D-printed materials7citations
  • 2023Mechanical and thermal properties of graphene nanoplatelets-reinforced recycled polycarbonate composites53citations
  • 2023Melt Pressure Prediction in Polymer Extrusion Processes with Deep Learning6citations
  • 2023Melt Pressure Prediction in Polymer Extrusion Processes with Deep Learning6citations
  • 2022Numerical Investigation of Multi-scale Characteristics of Single and Multi-layered Woven Structures10citations
  • 2022Mechanical and thermal properties of graphene nanoplatelets-reinforced recycled polycarbonate composites53citations
  • 2022Composites for Electric Vehicles and Automotive Sector: A Review133citations
  • 2022Sensing technologies for process monitoring in polymer extrusion: A comprehensive review on past, present and future aspects19citations
  • 2022The effects of extrusion parameters and blend composition on the mechanical, rheological and thermal properties of LDPE/PS/PMMA ternary polymer blends25citations
  • 2022A review on optical properties and application of transparent ceramics63citations
  • 2022Numerical Simulation of Two-Phase Flow in Liquid Composite Moulding Using VOF-Based Implicit Time-Stepping Scheme1citations
  • 2021Remanufacturing using End-of-Life Vehicles and Electrical and Electronic Equipment Polymer Recyclates - A Paradigm for Assessing the Value Proposition12citations
  • 2021Energy efficiency in extrusion-related polymer processing: a review of state of the art and potential efficiency improvements53citations
  • 2021Investigation of the effects of fillers in polymer processing71citations
  • 2021Comparison of Mechanical Properties of Carbon Fibre and Kaolin Reinforced Polypropylene Composites6citations
  • 2020The Effect of Materials’ Rheology on Process Energy Consumption and Melt Thermal Quality in Polymer Extrusion35citations
  • 2020Optimization of Fused Deposition Modeling Parameters for Improved PLA and ABS 3D Printed Structures373citations
  • 2019Investigation of Thermal Stability of Non-Newtonian Melt Flows2citations
  • 2018Design and Applications of Soft Sensors in Polymer Processing: A Review49citations
  • 2014Investigation of the temperature homogeneity of die melt flows in polymer extrusion15citations
  • 2014A Novel Model-Based Controller for Polymer Extrusioncitations
  • 2014Process efficiency in polymer extrusion: Correlation between the energy demand and melt thermal stability51citations
  • 2014Process Efficiency in Polymer Extrusion: Correlations between the Energy Demand and Melt Thermal Stability51citations
  • 2014A Novel Soft Sensor for Real-Time Monitoring of the Die Melt Temperature Profile in Polymer Extrusioncitations
  • 2014Investigation of the process energy demand in polymer extrusion: a brief review and an experimental study45citations
  • 2012Monitoring and Modelling of the Effects of Process Settings and Screw Geometry on Melt Pressure Generation in Polymer Extrusioncitations
  • 2012A review and evaluation of melt temperature sensors for polymer extrusion53citations
  • 2011The inferential monitoring of screw load torque to predict process fluctuations in polymer extrusion27citations

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Chart of shared publication
Yang, Richard
1 / 1 shared
Marimuthu, Sathish
1 / 1 shared
Grace, Andrews Nirmala
3 / 9 shared
Dananjaya, Vimukthi
2 / 2 shared
Vallés, Cristina
2 / 19 shared
Nasser, Adel
2 / 6 shared
Perera, Yasith S.
1 / 2 shared
Lo Wong, Tan
1 / 1 shared
Wong, Tan Lo
1 / 1 shared
Li, Jie
3 / 17 shared
Perera, Yasith Sanura
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Dananjaya, S. A. Vimukthi
1 / 1 shared
Dasanayaka, Chamila
1 / 1 shared
Fortichiari, Claudio
1 / 1 shared
Shanthar, Rajinth
1 / 1 shared
Gayretli, Bilal
1 / 1 shared
Öpöz, Tahsin Tecelli
1 / 1 shared
Jabbari, Masoud
4 / 35 shared
Soutis, Costas
4 / 356 shared
Alotaibi, Hatim
4 / 6 shared
Ramesh, Karthikeyan
2 / 2 shared
Muthuramamoorty, Muthumareeswaran
1 / 2 shared
James, Jaimson T.
2 / 2 shared
Pitchaimuthu, Sudhagar
2 / 38 shared
Christina Josephine Malathi, A.
1 / 1 shared
Alodhayb, Abdullah N.
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Raghavan, Vimala
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Gunaseelan, Bharath
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Rajasekaran, Sofia Jennifer
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Gopal, Tami Selvi
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Pandiaraj, Saravanan
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Kumar, V. Ganesh
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Amarnath, K.
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Jamshidi, Rashid
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Malekmohammadi, Samira
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Sadowska, Joanna M.
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Gong, R. Hugh
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Akbari, Mohsen
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Meng, Chen
1 / 1 shared
Christina Josephine, Malathi A.
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Mr, Muthumareeswaran
1 / 1 shared
Selvi Gopal, Tami
1 / 1 shared
Somarathna, Yashoda
1 / 1 shared
Siriwardena, Susantha
1 / 3 shared
Karunanayake, Laleen
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Sirimuthu, Narayana
1 / 1 shared
Thyashan, Navod
1 / 1 shared
Xiao, Ruimin
1 / 1 shared
Exley, Oliver
2 / 2 shared
Afroj, Shaila
2 / 17 shared
Karim, Nazmul
3 / 18 shared
Wijerathne, Devinda
2 / 2 shared
Gong, Youyun
2 / 2 shared
Kelly, Adrian L.
9 / 25 shared
Perera, Thibbotuwawa Gamage Yasith
1 / 1 shared
Li, Jie
1 / 1 shared
Karmakar, Amit
1 / 1 shared
Wazeer, Adil
1 / 2 shared
Das, Apurba
1 / 7 shared
Sinha, Arijit
1 / 3 shared
Ding, Y.
1 / 14 shared
Gamaoun, Fehmi
1 / 13 shared
Olubambi, Peter Apata
1 / 16 shared
Akinwamide, Samuel Olukayode
1 / 15 shared
Johnson, Oluwagbenga T.
1 / 2 shared
Akinribide, Ojo Jeremiah
1 / 9 shared
Mekgwe, Gadifele Nicolene
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Dasanayaka, Chamila H.
1 / 1 shared
Mcmillan, Alison
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Huang, X.
1 / 13 shared
Xu, Ping
1 / 2 shared
Nguyen, Bao Kha
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Zhu, Jiayi
1 / 1 shared
Potluri, Prasad
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Polrut, Wareerom
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Boonliang, Butra
1 / 1 shared
Vera-Marun, Ivan J.
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Thongsoon, Duriyang
1 / 1 shared
Pérez, Paula
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Fernando, Anura
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Wilkinson, Arthur N.
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Brown, Elaine C.
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Li, Kang
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Martin, Peter J.
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Coates, Phil D.
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Deng, Jing
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Harkin-Jones, Eileen
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Vera-Sorroche, Javier
2 / 5 shared
Price, Mark
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Harkin-Jones, E.
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Coates, P. D.
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Kelly, A. L.
1 / 2 shared
Deng, J.
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Li, K.
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Vera-Sorroche, J.
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Price, M.
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Brown, E. C.
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Howell, Ken B.
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Mcafee, Marion
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Co-Authors (by relevance)

  • Yang, Richard
  • Marimuthu, Sathish
  • Grace, Andrews Nirmala
  • Dananjaya, Vimukthi
  • Vallés, Cristina
  • Nasser, Adel
  • Perera, Yasith S.
  • Lo Wong, Tan
  • Wong, Tan Lo
  • Li, Jie
  • Perera, Yasith Sanura
  • Dananjaya, S. A. Vimukthi
  • Dasanayaka, Chamila
  • Fortichiari, Claudio
  • Shanthar, Rajinth
  • Gayretli, Bilal
  • Öpöz, Tahsin Tecelli
  • Jabbari, Masoud
  • Soutis, Costas
  • Alotaibi, Hatim
  • Ramesh, Karthikeyan
  • Muthuramamoorty, Muthumareeswaran
  • James, Jaimson T.
  • Pitchaimuthu, Sudhagar
  • Christina Josephine Malathi, A.
  • Alodhayb, Abdullah N.
  • Raghavan, Vimala
  • Gunaseelan, Bharath
  • Rajasekaran, Sofia Jennifer
  • Gopal, Tami Selvi
  • Pandiaraj, Saravanan
  • Kumar, V. Ganesh
  • Amarnath, K.
  • Jamshidi, Rashid
  • Malekmohammadi, Samira
  • Sadowska, Joanna M.
  • Gong, R. Hugh
  • Akbari, Mohsen
  • Meng, Chen
  • Christina Josephine, Malathi A.
  • Mr, Muthumareeswaran
  • Selvi Gopal, Tami
  • Somarathna, Yashoda
  • Siriwardena, Susantha
  • Karunanayake, Laleen
  • Sirimuthu, Narayana
  • Thyashan, Navod
  • Xiao, Ruimin
  • Exley, Oliver
  • Afroj, Shaila
  • Karim, Nazmul
  • Wijerathne, Devinda
  • Gong, Youyun
  • Kelly, Adrian L.
  • Perera, Thibbotuwawa Gamage Yasith
  • Li, Jie
  • Karmakar, Amit
  • Wazeer, Adil
  • Das, Apurba
  • Sinha, Arijit
  • Ding, Y.
  • Gamaoun, Fehmi
  • Olubambi, Peter Apata
  • Akinwamide, Samuel Olukayode
  • Johnson, Oluwagbenga T.
  • Akinribide, Ojo Jeremiah
  • Mekgwe, Gadifele Nicolene
  • Dasanayaka, Chamila H.
  • Mcmillan, Alison
  • Huang, X.
  • Xu, Ping
  • Nguyen, Bao Kha
  • Zhu, Jiayi
  • Potluri, Prasad
  • Polrut, Wareerom
  • Boonliang, Butra
  • Vera-Marun, Ivan J.
  • Thongsoon, Duriyang
  • Pérez, Paula
  • Fernando, Anura
  • Sri-Amphorn, Pimpisut
  • Wilkinson, Arthur N.
  • Brown, Elaine C.
  • Li, Kang
  • Martin, Peter J.
  • Coates, Phil D.
  • Deng, Jing
  • Harkin-Jones, Eileen
  • Vera-Sorroche, Javier
  • Price, Mark
  • Harkin-Jones, E.
  • Coates, P. D.
  • Kelly, A. L.
  • Deng, J.
  • Li, K.
  • Vera-Sorroche, J.
  • Price, M.
  • Brown, E. C.
  • Howell, Ken B.
  • Mcafee, Marion
OrganizationsLocationPeople

article

Investigation of the effect of the degree of hollowness and internal cavity structure on the mechanical properties of 3D-printed materials

  • Exley, Oliver
  • Abeykoon, Chamil
Abstract

Despite the wide growth of additive manufacturing, it is still very expensive to mass produce 3D-printed parts. The costs can be minimized if the quantity of material required to produce a part can be substantially reduced by introducing hollow cavities into the structure, without compromising its properties. This study investigates the effect of the degree of hollowness and different internal cavity structures on the mechanical properties of 3D-printed materials. Test specimens were prepared with four polymeric materials (i.e., acrylonitrile butadiene styrene (ABS), polylactic acid (PLA), carbon fiber-reinforced (CFR) ABS, and CFR PLA) using the fused deposition modeling 3D printing technique. Internal hollow cavities were introduced to the specimens during printing and the specimens were prepared with three different cavity structures (i.e., hexagonal honeycomb, circular drills, and squares), and the degree of hollowness was varied from 0% to 30% in 10% increments. Tensile and flexural properties of the 3D-printed specimens were evaluated and analyzed. The mechanical properties of all specimens were found to decrease with increasing hollowness levels, regardless of the type of material or the internal cavity structure. The hexagonal honeycomb structure showed the best tensile properties out of the three internal cavity structures, while the flexural properties were not significantly affected by the internal cavity structure. The material type had a significant impact on the mechanical properties with PLA exhibiting better tensile and flexural properties than ABS, while their carbon fire reinforced counterparts showed enhanced mechanical properties than pure ABS and PLA.

Topics
  • Deposition
  • impedance spectroscopy
  • Carbon
  • additive manufacturing