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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Dhinakran, V.

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in Cooperation with on an Cooperation-Score of 37%

Topics

Publications (6/6 displayed)

  • 2024A NOVEL DOUBLE-SIDE LASER WELDED THICK PLATE: MICROSTRUCTURE AND NUMERICAL PREDICTION OF TENSILE TESTcitations
  • 2023Manufacturing of multi material wall via fused filament fabrication: An insight characteristics5citations
  • 2023Prediction of static failure in metal inert gas welded nuclear grade pipe 347 SS: Experimentation and finite-element analysis approach1citations
  • 2022Effect of printing characteristics for the incorporation of hexagonal-shaped lattice structure on the PLA polymeric material44citations
  • 2022Influence of Nanosilica Particle Addition on Mechanical and Water Retention Properties of Natural Flax- and Sisal-Based Hybrid Nanocomposites under NaOH Conditions10citations
  • 2022Process optimization of compressive property and dimensional error on wood polylactic acid gyroid-structured polymer composite7citations

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Chart of shared publication
Subramaniyan, Mohan Kumar
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Vellaisamy, Murugan
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Sarankumar, T.
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Browne, Micheal Agnelo
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Vellaisamy, M.
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Patil, B. P.
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Guo, Lei
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Yang, Chunhui
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Palaniyappan, Sabarinathan
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Natrayan, L.
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Kumar, S. Narain
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Surendhar, G. J.
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Sethupathy, S. Baskara
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Mekonnen, Hulusew Ferede
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Patil, Pravin P.
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Velmurugan, G.
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Sekar, S.
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Shanmugam, Ragavanantham
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Surendhar, Gj
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Co-Authors (by relevance)

  • Subramaniyan, Mohan Kumar
  • Vellaisamy, Murugan
  • Sarankumar, T.
  • Browne, Micheal Agnelo
  • Vellaisamy, M.
  • Patil, B. P.
  • Guo, Lei
  • Yang, Chunhui
  • Palaniyappan, Sabarinathan
  • Natrayan, L.
  • Kumar, S. Narain
  • Surendhar, G. J.
  • Sethupathy, S. Baskara
  • Mekonnen, Hulusew Ferede
  • Patil, Pravin P.
  • Velmurugan, G.
  • Sekar, S.
  • Shanmugam, Ragavanantham
  • Surendhar, Gj
OrganizationsLocationPeople

article

Process optimization of compressive property and dimensional error on wood polylactic acid gyroid-structured polymer composite

  • Shanmugam, Ragavanantham
  • Palaniyappan, Sabarinathan
  • Surendhar, Gj
  • Dhinakran, V.
Abstract

<jats:p> In the fused deposition modeling (FDM) process, various thermoplastic filaments may be used as a feedstock material for the component fabrication. The present study involves incorporating a gyroid structure in wood/polylactic acid (PLA) polymer composite. The strength of the sample may reduce while incorporating lattice structure in PLA polymeric samples. There are certain difficulties due to the wide availability of process parameters that may vary the quality and strength during the fabrication of the sample through the FDM process. Determining the influence of certain important process parameters such as raster angle, layer thickness, and wall thickness is carried out in this research to attain higher mechanical strength and less dimensional error in the geometry of the fabricated sample. Taguchi L<jats:sub>9</jats:sub> orthogonal array is used in these experiments to optimize process parameters in the gyroid incorporated samples. The output responses in the present study are compressive strength and dimensional error. Both the output responses were predicted using the ANOVA technique. Both the output responses are greatly influenced by the raster angle with the value of 60.78% in compressive strength and 90.43% in the dimensional error, and Wall thickness is the least influenced process parameter with the value of 7.17% in compressive strength and 0.93% in dimensional error. The sequential order of influencing process parameters in both the compressive strength and dimensional error were raster angle &gt; layer thickness &gt; wall thickness. 31.019 MPa of compressive strength was observed in the confirmational compression test. The prepared composite can be used as a structural material in the replacement of balusters and handrails. </jats:p>

Topics
  • Deposition
  • impedance spectroscopy
  • experiment
  • laser emission spectroscopy
  • strength
  • composite
  • compression test
  • wood
  • thermoplastic
  • gyroid