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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in Cooperation with on an Cooperation-Score of 37%

Topics

Publications (1/1 displayed)

  • 2020Optimization of tribological behavior of Mg-WC nanocomposites at elevated temperature6citations

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Sahoo, P.
1 / 1 shared
Banerjee, S.
1 / 11 shared
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2020

Co-Authors (by relevance)

  • Sahoo, P.
  • Banerjee, S.
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article

Optimization of tribological behavior of Mg-WC nanocomposites at elevated temperature

  • Sahoo, P.
  • Poria, S.
  • Banerjee, S.
Abstract

<jats:p>The present investigation scrutinizes the role of wt.% of WC (0, 0.5, 1, 1.5 and 2%), operating temperature (50, 100, 150, 200 and 250°C) and load (20, 30 and 40N) on wear rate and coefficient of friction (COF) of Mg-WC nanocomposites. A multilevel full factorial design is considered to optimize the response variables. Mg-WC nanocomposites are synthesized through ultrasonic vibration assisted stir casting method. Tribological tests are performed in a pin-on-disk tribotester at dry sliding condition. Optical microscope and scanning electron microscope (SEM) are used to visualize the microstructural phases and distribution of reinforcements respectively. Main effect plots and interaction plots are analyzed to find the effect of selected parameters and their interactions. Analysis of variance (ANOVA) is also carried out for response variables to find the significant parameters. Linear regression equations are also generated to relate the output and input parameters. Worn surfaces are studied with the help of SEM images to examine the wear mechanisms.</jats:p>

Topics
  • nanocomposite
  • impedance spectroscopy
  • surface
  • phase
  • scanning electron microscopy
  • ultrasonic
  • casting
  • coefficient of friction