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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1.080 Topics available

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Naji, M.
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Suresh, P.

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in Cooperation with on an Cooperation-Score of 37%

Topics

Publications (6/6 displayed)

  • 2021Fabrication and Experimental Analysis of Treated Snake Grass Fiber Reinforced with Polyester Composite53citations
  • 2021Fabrication and Experimental Analysis of Treated Snake Grass Fiber Reinforced with Polyester Composite53citations
  • 2021Assessment on the Optimum Performance of a Novel 3 Axes Micro EDM Developed for Commercial Applicationscitations
  • 2021Performance Study of EDM Process Parameters Using TiC/ZrSiO4 Particulate-Reinforced Copper Composite Electrode1citations
  • 2019Optimization of Evolutionary Algorithm Using Machine Learning Techniques for Pattern Mining in Transactional Database4citations
  • 2017Facile Preparation and Characterization of Polyaniline-iron Oxide Ternary Polymer Nanocomposites by Using " Mechanical Mixing " Approachcitations

Places of action

Chart of shared publication
Jenish, I.
2 / 9 shared
Raj, E. Fantin Irudaya
2 / 4 shared
Appadurai, M.
2 / 3 shared
Sahayaraj, Felix
1 / 7 shared
Manikandan, Velu
2 / 6 shared
Salmen, Saleh H.
2 / 3 shared
Raja, T.
2 / 11 shared
Alfarraj, Saleh
2 / 14 shared
Sahayaraj, A. Felix
1 / 6 shared
R., Prasanna Kumar K.
1 / 1 shared
Savitha, S.
1 / 1 shared
Logeswaran, K.
1 / 1 shared
Perumal, K.
1 / 4 shared
Dhachanamoorthi, N.
1 / 1 shared
Chandra, L.
1 / 2 shared
Chart of publication period
2021
2019
2017

Co-Authors (by relevance)

  • Jenish, I.
  • Raj, E. Fantin Irudaya
  • Appadurai, M.
  • Sahayaraj, Felix
  • Manikandan, Velu
  • Salmen, Saleh H.
  • Raja, T.
  • Alfarraj, Saleh
  • Sahayaraj, A. Felix
  • R., Prasanna Kumar K.
  • Savitha, S.
  • Logeswaran, K.
  • Perumal, K.
  • Dhachanamoorthi, N.
  • Chandra, L.
OrganizationsLocationPeople

article

Assessment on the Optimum Performance of a Novel 3 Axes Micro EDM Developed for Commercial Applications

  • Suresh, P.
Abstract

<jats:title>Abstract</jats:title><jats:p>A low cost three axes commercial microEDM machine has been developed indigenously in order to implement precision micromachining. The developed microEDM consists of various components such as machining chamber, X-Y table, tool feed and tool holder assembly, dielectric circulation system, power supply and automatic driving devices to control the spark gap distance. The setup is capable of performing the 8µm movement in Z-axis.The developed 3 axes machine and the commercial available machine are investigated with the most important process parameters such as Current, Pulse on time and Pulse off time in order to study the Material Removal Rate (MRR) and Tool Wear Rate (TWR). The material chosen for the current research is Stainless Steel 316L, which has high corrosion resistance and the electrode was tungsten 300µm. In most of the experiments, the developed machine has performed with 6.52% higher MRR and 26.10% Lower TWR. This is due to the effective spark gap circuit developed with the use of hall current sensor.The mathematical model of MRR and TWR are obtained by correlating the process parameter using Response Surface Methodology (RSM).The chosen objectives are contradictory in nature, we employ a non-dominated Genetic algorithm to find the optimal process parameters. The developed 3 axes microEDM has yield a 10.14% and 33.12% better performance on optimum maximum MRR and minimum TWR respectively when compared to the commercial machine.</jats:p>

Topics
  • impedance spectroscopy
  • surface
  • stainless steel
  • corrosion
  • experiment
  • tungsten