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 (1/1 displayed)

  • 2022Parametric Optimization of Wire Electrical Discharge Machining in AA7075 Metal Matrix Composite10citations

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Chart of shared publication
Muthusamy, Sivachitra
1 / 1 shared
Priya, C. B.
1 / 6 shared
Rao, Dasari Narasimha
1 / 2 shared
Raju, K.
1 / 14 shared
Chart of publication period
2022

Co-Authors (by relevance)

  • Muthusamy, Sivachitra
  • Priya, C. B.
  • Rao, Dasari Narasimha
  • Raju, K.
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article

Parametric Optimization of Wire Electrical Discharge Machining in AA7075 Metal Matrix Composite

  • Marimuthu, Balakrishnan
  • Muthusamy, Sivachitra
  • Priya, C. B.
  • Rao, Dasari Narasimha
  • Raju, K.
Abstract

<jats:p>Aluminium 7075 metal matrix composite reinforced with silicon nitride was fabricated using the stir casting technique. Composite fabricated was machined and subjected to wire electrical discharge machining to study the significant process parameter. Taguchi design of experiment using L9 orthogonal array was selected with three factors, current, pulse ON time, and wire feed at three levels. Influencing process parameters were identified using analysis of variance. Pulse ON time of 130 μs, current of 20 A, and wire feed of 1 mm/min were identified as optimized parameters for higher material removal rate. For a good surface finish, the optimized parameter was identified as 130 μs pulse ON time, 20 A current, and wire feed rate of 2 mm/min. Pulse ON time was identified as an influencing parameter followed by the current in achieving better material removal rate with good surface finish, whereas wire feed has no influence on the output parameters. Results of experimentation showed improved machining characteristics for higher pulse ON time and current for machining the synthesized composite through the Taguchi design of the experiment.</jats:p>

Topics
  • surface
  • experiment
  • aluminium
  • nitride
  • composite
  • Silicon
  • casting
  • wire