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

Saravanakumar, S.

  • Google
  • 5
  • 21
  • 107

in Cooperation with on an Cooperation-Score of 37%

Topics

Publications (5/5 displayed)

  • 2024Optimizing Friction Stir Processing Parameters for Aluminium Alloy 2024 Reinforced with SiC Particles: A Taguchi Approach of Investigationcitations
  • 2024Integrating response surface methodology and machine learning for analyzing the unconventional machining properties of hybrid fiber‐reinforced composites21citations
  • 2021Influence of Fiber Volume and Fiber Length on Thermal and Flexural Properties of a Hybrid Natural Polymer Composite Prepared with Banana Stem, Pineapple Leaf, and S-Glass75citations
  • 2021[Retracted] Optimization of Reinforced Aluminium Scraps from the Automobile Bumpers with Nickel and Magnesium Oxide in Stir Casting11citations
  • 2017Piezoelectric and Ferroelectric Properties of Lead-free 0.9(Na0.97K0.03NbO3)- 0.1BaTiO3 Solid Solutioncitations

Places of action

Chart of shared publication
Prakash, K. B.
2 / 2 shared
Diwahar, Dinesh
1 / 1 shared
Soudagar, Manzoore Elahi M.
1 / 16 shared
Ali, Muhammad Mahmood
1 / 21 shared
Sathiyamurthy, S.
1 / 3 shared
Mech, Vinoth
1 / 2 shared
Senthilkumar, R.
1 / 1 shared
Saminathan, Rajasekaran
1 / 11 shared
Rajkumar, S.
1 / 17 shared
Kumar, P. Manoj
1 / 2 shared
Arulmurugan, B.
1 / 2 shared
Subbiah, Ram
1 / 19 shared
Fageehi, Yahya Ali
1 / 3 shared
Sathish, T.
1 / 24 shared
Tafesse, Dawit
1 / 3 shared
Parthiban, A.
1 / 6 shared
Sankar, L. Ponraj
1 / 3 shared
Kumar, S. Dinesh
1 / 4 shared
Vijayan, V.
1 / 10 shared
Sasikumar, S.
1 / 2 shared
Saravanan, R.
1 / 11 shared
Chart of publication period
2024
2021
2017

Co-Authors (by relevance)

  • Prakash, K. B.
  • Diwahar, Dinesh
  • Soudagar, Manzoore Elahi M.
  • Ali, Muhammad Mahmood
  • Sathiyamurthy, S.
  • Mech, Vinoth
  • Senthilkumar, R.
  • Saminathan, Rajasekaran
  • Rajkumar, S.
  • Kumar, P. Manoj
  • Arulmurugan, B.
  • Subbiah, Ram
  • Fageehi, Yahya Ali
  • Sathish, T.
  • Tafesse, Dawit
  • Parthiban, A.
  • Sankar, L. Ponraj
  • Kumar, S. Dinesh
  • Vijayan, V.
  • Sasikumar, S.
  • Saravanan, R.
OrganizationsLocationPeople

document

Optimizing Friction Stir Processing Parameters for Aluminium Alloy 2024 Reinforced with SiC Particles: A Taguchi Approach of Investigation

  • Prakash, K. B.
  • Diwahar, Dinesh
  • Soudagar, Manzoore Elahi M.
  • Saravanakumar, S.
  • Ali, Muhammad Mahmood
Abstract

The present investigation focuses on the microstructural behavior and mechanical properties of Aluminium alloy 2024 reinforced with SiC nanoparticles by applying the Friction Stir Processing (FSP) technique. Taguchi L9 orthogonal array was used to find the optimal process parameters. The experiment used the expected best process parameters, which confirmed the predicted highest value for the mechanical characteristic. Traverse speed, axial load, and rotating speed are the main factors affecting aluminum metal matrix composite. Hence, this experiment examined the effects of five different tool spinning speeds, specifically 800, 900, 1000, 1100, and 1200 rpm. Weld samples are fabricated wherein the stir zone contains SiC nanoparticles. The results of the study indicate that the optimal welding rotational speed of 1000 rpm has a significant impact on the microstructure, wear rate, and microhardness. Specifically, it was observed that the stirred zone exhibited enhanced wear resistance compared to other zones. The study's findings revealed that after implementing friction stir processing (FSP), a well-defined shear zone was observed on the advancing side of the stir zone. Additionally, it is found that the uniform dispersion and strong bonding of SiC particles with an aluminium matrix further enhance wear resistance.

Topics
  • nanoparticle
  • impedance spectroscopy
  • dispersion
  • experiment
  • aluminium
  • wear resistance
  • aluminium alloy
  • composite
  • spinning