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

Ramalingam, Vimal Samsingh

  • Google
  • 3
  • 12
  • 6

in Cooperation with on an Cooperation-Score of 37%

Topics

Publications (3/3 displayed)

  • 2024Detection and characterisation of defects in composite materials using microwave non-destructive testing methodscitations
  • 2023Statistical modelling and assessment of surface roughness in drilling of hybrid fiber composite5citations
  • 2023A novel microwave-based non-destructive testing system for detection of sub-surface defects in natural flax fiber reinforced composite material1citations

Places of action

Chart of shared publication
Sundarsingh, Esther Florence
2 / 2 shared
Ahmed, Waleed
1 / 3 shared
Ramachandran, Achyuth
2 / 2 shared
Praveen, R.
1 / 1 shared
Raman, Shyam
1 / 1 shared
Abirami, Sakthi
1 / 1 shared
Anbalagan, Abirami
1 / 1 shared
Chandran, Arun Prakash
1 / 1 shared
Selvam, Anirudh
1 / 4 shared
David, Amos Gamaleal
1 / 1 shared
Subbaraj, Sangeetha
1 / 1 shared
Arunkumar, A.
1 / 1 shared
Chart of publication period
2024
2023

Co-Authors (by relevance)

  • Sundarsingh, Esther Florence
  • Ahmed, Waleed
  • Ramachandran, Achyuth
  • Praveen, R.
  • Raman, Shyam
  • Abirami, Sakthi
  • Anbalagan, Abirami
  • Chandran, Arun Prakash
  • Selvam, Anirudh
  • David, Amos Gamaleal
  • Subbaraj, Sangeetha
  • Arunkumar, A.
OrganizationsLocationPeople

article

Statistical modelling and assessment of surface roughness in drilling of hybrid fiber composite

  • Ramalingam, Vimal Samsingh
  • Chandran, Arun Prakash
  • Selvam, Anirudh
  • Ramachandran, Achyuth
  • David, Amos Gamaleal
Abstract

<jats:p>In this article, the effects of conventional drilling parameters on the surface roughness of holes in hybrid fibre composites were investigated and quantified. A sample of a hybrid fibre composite with E-glass, hemp, and flax fibre reinforcements was fabricated by the hand lay-up method and subjected to drilling tests under different operating conditions by varying the drilling process parameters (drill diameter, spindle speed, and feed rate). The average surface roughness (Ra in µm) of the drilled hole was measured for each set of conditions. The results were subjected to statistical analysis (ANOVA) to determine the effects of process parameters on the measured variable. The calculations show that a combination of drill diameter and spindle speed, as well as drill diameter and feed rate, are the most important determinants of variation in bore surface roughness. A simple regression equation with linear terms was then established to model the observed interactions between the input and output variables. The equation was able to accurately model the behaviour of surface roughness, showing that this methodology can be extrapolated for use with different machining processes and/or materials. The 3-factor analysis ANOVA, performed with a confidence level of 95% and a statistical significance of a p-value less than 0.05, showed that the drill diameter ranked first and made the largest contribution (82.394% contribution), followed by the feed rate (16.719% contribution) and the spindle speed (0.6199% contribution). Regression modelling using linear regression yielded an R2 value of 0.8015 and using the power-law equation yielded an R2 value of 0.8796.</jats:p>

Topics
  • surface
  • glass
  • glass
  • laser emission spectroscopy
  • composite