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)

  • 2012Determination of optimum parameters for multi-performance characteristic in turning of Al 6061-6% ZrB2 in-situ metal matrix composite using grey relational analysis12citations

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Mahamani, Arumugam
1 / 2 shared
Anandakrishnan, V.
1 / 3 shared
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2012

Co-Authors (by relevance)

  • Mahamani, Arumugam
  • Anandakrishnan, V.
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article

Determination of optimum parameters for multi-performance characteristic in turning of Al 6061-6% ZrB2 in-situ metal matrix composite using grey relational analysis

  • Muthukrishnan, N.
  • Mahamani, Arumugam
  • Anandakrishnan, V.
Abstract

<jats:p>In-situ aluminum matrix composite is the innovation of high performance material technology and it has superior interfacial integrity and thermodynamic stability between the matrix and reinforcement. During synthesis, the ZrB2 particle is formed by exothermic reaction within the aluminum melt. As a result, small, fine and oxide free reinforcements are formed. Excessive temperature released from in-situ chemical reaction will facilitate the homogeneous distribution of particles in entire shape of the composites. Making the engineering components from this composite material require machining operations. Therefore, addressing the machinability issues of the composite is very important. This paper proposes an approach to optimize the machining parameters in turning of Al 6061-6% ZrB2 in-situ Metal Matrix Composite (MMC) with multiple performance characteristics by using grey relational analysis. The effect of in-situ ZrB2 reinforcement particles on machinability behavior need to be studied. The machining parameters, namely cutting speed, feed rate and depth of cut are optimized with considerations of multiple performance characteristics including surface roughness, tool wear and cutting force. It is concluded that the feed rate has the strongest effect. The confirmation experiment indicates that there is a good agreement between the estimated value and experimental value of the Grey relational grade.</jats:p>

Topics
  • impedance spectroscopy
  • surface
  • experiment
  • melt
  • aluminium
  • metal-matrix composite