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

Chaudhari, G. P.

  • Google
  • 2
  • 8
  • 33

in Cooperation with on an Cooperation-Score of 37%

Topics

Publications (2/2 displayed)

  • 2013Physical simulation of hot deformation and microstructural evolution of AISI 1016 steel using processing maps33citations
  • 2012Hot deformation study by processing maps of N containing microalloyed steelcitations

Places of action

Chart of shared publication
Dikovits, Martina
1 / 6 shared
Pancholi, V.
2 / 2 shared
Warchomicka, Fernando Gustavo
1 / 15 shared
Nath, S. K.
1 / 2 shared
Rajput, S. K.
1 / 1 shared
Poletti, Maria Cecilia
2 / 79 shared
Dikovits, M.
1 / 2 shared
Warchomicka, F.
1 / 10 shared
Chart of publication period
2013
2012

Co-Authors (by relevance)

  • Dikovits, Martina
  • Pancholi, V.
  • Warchomicka, Fernando Gustavo
  • Nath, S. K.
  • Rajput, S. K.
  • Poletti, Maria Cecilia
  • Dikovits, M.
  • Warchomicka, F.
OrganizationsLocationPeople

document

Hot deformation study by processing maps of N containing microalloyed steel

  • Chaudhari, G. P.
  • Pancholi, V.
  • Dikovits, M.
  • Warchomicka, F.
  • Poletti, Maria Cecilia
Abstract

<p>The hot formability of a microalloyed steel with 0.16 wt-%C modified with N is studied by using processing maps. Compression tests of cylindrical samples are carried out using a Gleeble®3800 simulator in the range of temperature between 750 - 1000°C and strain rates between 0.01-100 s <sup>-1</sup>. For this alloy, an A <sub>r3</sub>-temperature about 740°C is determined by means of dilatometry. Processing maps are calculated using the modified dynamic material model developed by Murty and Rao for different logarithmic strains. For the instability map, the parameter κ <sub>j</sub> developed by the authors in previous works is used and compared with other instability values. Softening in the flow curves provoked by induced ferrite during deformation at low temperatures and low strain rates is reflected in the η-value. Light optical microscopy (LOM) and electron back scattered diffraction (EBSD) measurements are used to study the microstructure of the hot deformed samples to determine the deformation mechanisms active and to verify the processing maps.</p>

Topics
  • impedance spectroscopy
  • microstructure
  • steel
  • compression test
  • electron backscatter diffraction
  • deformation mechanism
  • optical microscopy
  • dilatometry