Materials Map

Discover the materials research landscape. Find experts, partners, networks.

  • About
  • Privacy Policy
  • Legal Notice
  • Contact

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.

×

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.

To Graph

1.080 Topics available

To Map

977 Locations available

693.932 PEOPLE
693.932 People People

693.932 People

Show results for 693.932 people that are selected by your search filters.

←

Page 1 of 27758

→
←

Page 1 of 0

→
PeopleLocationsStatistics
Naji, M.
  • 2
  • 13
  • 3
  • 2025
Motta, Antonella
  • 8
  • 52
  • 159
  • 2025
Aletan, Dirar
  • 1
  • 1
  • 0
  • 2025
Mohamed, Tarek
  • 1
  • 7
  • 2
  • 2025
Ertürk, Emre
  • 2
  • 3
  • 0
  • 2025
Taccardi, Nicola
  • 9
  • 81
  • 75
  • 2025
Kononenko, Denys
  • 1
  • 8
  • 2
  • 2025
Petrov, R. H.Madrid
  • 46
  • 125
  • 1k
  • 2025
Alshaaer, MazenBrussels
  • 17
  • 31
  • 172
  • 2025
Bih, L.
  • 15
  • 44
  • 145
  • 2025
Casati, R.
  • 31
  • 86
  • 661
  • 2025
Muller, Hermance
  • 1
  • 11
  • 0
  • 2025
Kočí, JanPrague
  • 28
  • 34
  • 209
  • 2025
Šuljagić, Marija
  • 10
  • 33
  • 43
  • 2025
Kalteremidou, Kalliopi-ArtemiBrussels
  • 14
  • 22
  • 158
  • 2025
Azam, Siraj
  • 1
  • 3
  • 2
  • 2025
Ospanova, Alyiya
  • 1
  • 6
  • 0
  • 2025
Blanpain, Bart
  • 568
  • 653
  • 13k
  • 2025
Ali, M. A.
  • 7
  • 75
  • 187
  • 2025
Popa, V.
  • 5
  • 12
  • 45
  • 2025
Rančić, M.
  • 2
  • 13
  • 0
  • 2025
Ollier, Nadège
  • 28
  • 75
  • 239
  • 2025
Azevedo, Nuno Monteiro
  • 4
  • 8
  • 25
  • 2025
Landes, Michael
  • 1
  • 9
  • 2
  • 2025
Rignanese, Gian-Marco
  • 15
  • 98
  • 805
  • 2025

Anushkannan, N. K.

  • Google
  • 2
  • 11
  • 31

in Cooperation with on an Cooperation-Score of 37%

Topics

Publications (2/2 displayed)

  • 2024Machining Performance of Ti6Al4V Nano Composites Processed at Al2O3 Nano Particles Mixed Minimum Quantity Lubrication Conditioncitations
  • 2023Experimental investigation on microhardness, surface roughness, and white layer thickness of dry EDM31citations

Places of action

Chart of shared publication
Kannan, M.
1 / 3 shared
Kumar, T. Ch. Anil
1 / 5 shared
Verma, Ashish
1 / 2 shared
Pragadish, N.
1 / 3 shared
Karthi, V.
1 / 2 shared
Nayak, Bijaya Bijeta
1 / 3 shared
Sahu, Santosh Kumar
1 / 6 shared
Sampath, Boopathi
1 / 10 shared
Dinakaran, K. P.
1 / 1 shared
Puse, Ranjit Kumar
1 / 2 shared
Janardhana, Kedri
1 / 1 shared
Chart of publication period
2024
2023

Co-Authors (by relevance)

  • Kannan, M.
  • Kumar, T. Ch. Anil
  • Verma, Ashish
  • Pragadish, N.
  • Karthi, V.
  • Nayak, Bijaya Bijeta
  • Sahu, Santosh Kumar
  • Sampath, Boopathi
  • Dinakaran, K. P.
  • Puse, Ranjit Kumar
  • Janardhana, Kedri
OrganizationsLocationPeople

article

Experimental investigation on microhardness, surface roughness, and white layer thickness of dry EDM

  • Anushkannan, N. K.
  • Sampath, Boopathi
  • Dinakaran, K. P.
  • Puse, Ranjit Kumar
  • Janardhana, Kedri
Abstract

<jats:title>Abstract</jats:title><jats:p>In this research, the environment-friendly dry electrical discharge machining (EDM) process is investigated to improve the microhardness, surface finish, and white layer thickness of the machined surfaces using graphite-argon gas as a dielectric medium. The graphite powder, mixed with compressed argon gas, has been used to replace the existing dielectric medium in the EDM process. Gas pressure, discharge current, pulse width, and gap voltage were working as input parameters to reduce surface roughness and enhance the microhardness and white layer thickness. The Taguchi L16 orthogonal array is applied to the design and analysis of the experimental results. The minimum surface roughness (2.23 <jats:italic>μ</jats:italic>m) of the HN31 steel has been attained by increasing the gas pressure up to 1.0 MPa and the minimum values of pulse width (40 <jats:italic>μ</jats:italic>s), gap voltage (40 V), and discharge current (6 A). The maximum microhardness (501.04 HV) has been obtained at 1.2 MPa of gas pressure, 120 <jats:italic>μ</jats:italic>s of pulse width, 60 V of gap voltage, and 18 A of discharge current. The maximum white layer thickness (16.24 <jats:italic>μ</jats:italic>m) is achieved by the maximum values of gas pressure (1.2 MPa), pulse width (160 <jats:italic>μ</jats:italic>s), gap voltage (70 V) and discharge current (18 A). The SEM analysis had been done to reveal the white recast layer thickness and surface roughness of the machined surfaces of the dry EDM process. The SR is increased by the recast layer, pores, and microcracks on the machined surfaces. Finally, the multi-criteria optimization technique: Weight Product Method (WPM) is applied to predict optimum process parameter settings: GP: 1.2 MPa, PW: 120 <jats:italic>μ</jats:italic>s, GV: 50 V, and DC: 18 A to meet the best machining performances (MH = 493.32 HV, WLT = 14.28 <jats:italic>μ</jats:italic>m, and SR = 3.82 <jats:italic>μ</jats:italic>m). The validation tests were done to confirm the predicted results obtained by both the Taguchi and WSM methods.</jats:p>

Topics
  • impedance spectroscopy
  • pore
  • surface
  • scanning electron microscopy
  • steel