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

Giannekas, Nikolaos

  • Google
  • 6
  • 6
  • 19

in Cooperation with on an Cooperation-Score of 37%

Topics

Publications (6/6 displayed)

  • 2018Investigation on Product and Process Fingerprints for Integrated Quality Assurance in Injection Molding of Microstructured Biochips3citations
  • 2018Investigation of product and process fingerprints for fast quality assurance in injection molding of micro-structured components10citations
  • 2017A study on replication and quality correlation of on-part and on-runner polymer injection molded micro featurescitations
  • 2016Experimental Investigation of Comparative Process Capabilities of Metal and Ceramic Injection Molding for Precision Applications2citations
  • 2014The Shrinkage Behavior and Surface Topographical Investigation for Micro Metal Injection Molding4citations
  • 2014Experimental investigation on shrinkage and surface replication of injection moulded ceramic partscitations

Places of action

Chart of shared publication
Tosello, Guido
6 / 101 shared
Zhang, Yang
3 / 38 shared
Kristiansen, Per Magnus
1 / 3 shared
Marhöfer, David Maximilian
3 / 8 shared
Islam, Aminul
3 / 68 shared
Hansen, Hans Nørgaard
3 / 128 shared
Chart of publication period
2018
2017
2016
2014

Co-Authors (by relevance)

  • Tosello, Guido
  • Zhang, Yang
  • Kristiansen, Per Magnus
  • Marhöfer, David Maximilian
  • Islam, Aminul
  • Hansen, Hans Nørgaard
OrganizationsLocationPeople

document

A study on replication and quality correlation of on-part and on-runner polymer injection molded micro features

  • Tosello, Guido
  • Zhang, Yang
  • Giannekas, Nikolaos
Abstract

Injection molding is increasingly gaining place in manufacturing of polymer components as is can ensure a cost efficient production with short cycle times. To ensure the quality of the produced parts and the stability of the process it is essential to perform frequent metrological inspections. In contrast to injection molding’s short cycle time, a metrological quality control can require a significant amount of time. The late detection of the problem can result to high losses and scrap rate. This paper presents an alternative approach to process monitoring and part quality control with fast off/in-line metrology of physical part quality indicators (“Product Fingerprint”). The proposed approach is based on the concept of metrology applied to dedicated micro features, positioned on the runners, similar or equal to those in the part in order to access the quality of the produced plastic parts. A designed experiment was employed to map the experimental space and quantify the pillars replication depending on position and processing parameter combinations. The pillars were assessed and the main effects of the processing parameters, were calculated to reveal that the effects of process parameter change were similar in all measurement positions. Results showed that the product fingerprints have a correlation to the quality of on-part micro features. The concept can support the creation of a fast part quality monitoring system that has the potential to decrease the use of off-line time-consuming detailed metrology for part approval.

Topics
  • impedance spectroscopy
  • polymer
  • experiment
  • injection molding