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

Hussain, Muhammad Majid

  • Google
  • 2
  • 6
  • 4

Heriot-Watt University

in Cooperation with on an Cooperation-Score of 37%

Topics

Publications (2/2 displayed)

  • 2023A comprehensive experimental study and numerical analysis of coefficient of friction of nanocomposite coatings3citations
  • 2022Failure Detection within Composite Materials in System Engineering Applications1citations

Places of action

Chart of shared publication
Nazir, Mian Hammad
2 / 2 shared
Rahil, Abdulla
1 / 1 shared
Zaidi, Syed Zohaib Javaid
1 / 4 shared
Khan, Zulfiqar Ahmad
2 / 29 shared
Akram, Rizwan
1 / 1 shared
Bowkett, Mark
1 / 3 shared
Chart of publication period
2023
2022

Co-Authors (by relevance)

  • Nazir, Mian Hammad
  • Rahil, Abdulla
  • Zaidi, Syed Zohaib Javaid
  • Khan, Zulfiqar Ahmad
  • Akram, Rizwan
  • Bowkett, Mark
OrganizationsLocationPeople

article

A comprehensive experimental study and numerical analysis of coefficient of friction of nanocomposite coatings

  • Nazir, Mian Hammad
  • Rahil, Abdulla
  • Zaidi, Syed Zohaib Javaid
  • Hussain, Muhammad Majid
  • Khan, Zulfiqar Ahmad
Abstract

This paper presents a comprehensive study of nanocomposite coating friction behaviour in oscillating-reciprocating simulated condition with interfacing steel ball. A study on Nickel/Graphene (Ni/GPL) and pure Nickel (Ni) coatings has been conducted. Pre-test SEM, EDS and AFM analyses were performed to study the particle size, particle distribution, grain size and surface morphology of coatings. Furthermore, four types of tests were performed to compare the COF of pure Ni and Ni/GPL coatings subject to various test conditions. The post-tests revealed that Ni exhibited higher coefficient of friction (COF) compared to Ni/GPL which was evidenced by microscopic characterisation of wear tracks, wear on counter carbon steel ball and “U-shaped” wear depth profiles of wear tracks. The “U-shaped” profiles were utilised to calculate the energy distribution (Archard factor density) along the interface. A novel 2-D predictive numerical model integrating the wear concepts with the microstructural and lubrication concepts is developed to investigate the influences of intrinsic microstructural properties of nanocomposite coatings for instance porosity and surface stresses on COF. Predictions from newly developed model and the experimental results are in close agreement. In conclusion Ni/GPL showed better COF than Ni because of high strengthening properties in the presence of graphene. Although significant body of experimental research is available in terms of understanding frictional performance of various nanocomposite coatings, there is a need for the development of novel yet reliable predictive models to analyse the coefficient of friction (COF) of nanocomposite coatings within the context of design and industrial applications. The significance of this research is apparent from numerous applications which need precise modelling methods for predicting coatings failures owing to high COF and wear. The research will convey substantial impact to high-end manufacturing, renewable , automotive and aerospace industries in ...

Topics
  • nanocomposite
  • density
  • impedance spectroscopy
  • morphology
  • surface
  • Carbon
  • grain
  • nickel
  • grain size
  • scanning electron microscopy
  • simulation
  • atomic force microscopy
  • steel
  • Energy-dispersive X-ray spectroscopy
  • porosity
  • particle distribution
  • coefficient of friction