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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in Cooperation with on an Cooperation-Score of 37%

Topics

Publications (3/3 displayed)

  • 2019Investigation to appraise the abrasive water jet response of Curaua/Basalt hybrid polyester composites5citations
  • 2017Optimization of drilling process on Al-SiC composite using grey relation analysiscitations
  • 2015Optimization of drilling process on Al-SiC composite using grey relation analysis5citations

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Chart of shared publication
Irulappasamy, S.
1 / 1 shared
Amico, S. C.
1 / 4 shared
Rajesh, S.
1 / 8 shared
Premkumar, T.
1 / 1 shared
Rajan, T. P. D.
2 / 8 shared
Uthayakumar, M.
2 / 10 shared
Babu, K. V.
2 / 2 shared
Chart of publication period
2019
2017
2015

Co-Authors (by relevance)

  • Irulappasamy, S.
  • Amico, S. C.
  • Rajesh, S.
  • Premkumar, T.
  • Rajan, T. P. D.
  • Uthayakumar, M.
  • Babu, K. V.
OrganizationsLocationPeople

booksection

Optimization of drilling process on Al-SiC composite using grey relation analysis

  • Rajan, T. P. D.
  • Uthayakumar, M.
  • Babu, K. V.
  • Jappes, J. T. W.
Abstract

<jats:p>This study reveals the multi objective optimization of machining parameters in drilling of SiC reinforced with aluminium metal matrix composites through grey relational analysis. The composite is prepared with varying volume fraction of the reinforcement by liquid metal stir casting technique. Uniform distribution of SiC particle in the matrix is witnessed through microscopy study and observed that the hardness and strength on different composite. The drilling experiments were performed with coated carbide tool with different point angle such as 90o, 120o and 140o. Cutting speed, feed, point angle and volume fraction are considered as input parameters and the performance characteristics such as surface roughness and thrust force are observed as output response in this study. The significant contributions of these factors are determined using Analysis of Variance (ANOVA). The optimized process parameters have been validated by the confirmation test. The experimental result shows that point angle influences more on output performance followed by feed and cutting speed. </jats:p>

Topics
  • impedance spectroscopy
  • surface
  • experiment
  • aluminium
  • strength
  • carbide
  • composite
  • hardness
  • casting
  • microscopy