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

Orell, Olli Aleksi

  • Google
  • 8
  • 30
  • 73

Tampere University

in Cooperation with on an Cooperation-Score of 37%

Topics

Publications (8/8 displayed)

  • 2024Enriching Mechanical Characterisation Methods of Polymer Composites and Hybrids with Digital Image Correlationcitations
  • 2022Novel Micronized Mica Modified Casein–Aluminum Hydroxide as Fire Retardant Coatings for Wood Products4citations
  • 2022Impact and fatigue tolerant natural fibre reinforced thermoplastic composites by using non-dry fibres14citations
  • 2021Modulating impact resistance of flax epoxy composites with thermoplastic interfacial toughening19citations
  • 2021Comprehensive characterisation of the compressive behaviour of hydrogels using a new modelling procedure and redefining compression testing7citations
  • 2018Adhesion properties of novel steel –biocomposite hybrid structurecitations
  • 2018Characterization of elastic constants of anisotropic composites in compression using digital image correlation29citations
  • 2015Photoelastic Stress Evaluation and Mechanical Testing of Hybridscitations

Places of action

Chart of shared publication
Uddin, Mezbah
1 / 1 shared
Li, Ling
1 / 3 shared
Sarlin, Essi Linnea
4 / 51 shared
Haapala, Antti
1 / 4 shared
Alabbad, Maitham
1 / 1 shared
Soares, Guilherme Corrêa
1 / 22 shared
Kanerva, Mikko Samuli
5 / 30 shared
Vuure, Aart Willem Van
1 / 8 shared
Pärnänen, Tuomas
1 / 6 shared
Prapavesis, Alexandros
1 / 9 shared
Javanshour, Farzin
2 / 20 shared
Pournoori, Nazanin
1 / 10 shared
Pärnänen, T.
1 / 7 shared
Belone, M. C. Lessa
1 / 1 shared
Kallio, Pasi
1 / 16 shared
Prapavesis, A.
1 / 4 shared
Vuure, A. W. Van
1 / 7 shared
Layek, R. K.
1 / 4 shared
Koivisto, Janne T.
1 / 4 shared
Jokinen, Jarno
2 / 22 shared
Dastgerdi, Jairan Nafar
1 / 1 shared
Kellomäki, Minna
1 / 31 shared
Rava, Pantea
1 / 2 shared
Ramakrishnan, Karthik
1 / 1 shared
Hokka, Mikko
1 / 52 shared
Turunen, Jani
1 / 2 shared
Vuorinen, Jyrki E.
2 / 30 shared
Kettunen, Heikki
1 / 2 shared
Hytönen, Pertti
1 / 2 shared
Kakkonen, Markus
1 / 10 shared
Chart of publication period
2024
2022
2021
2018
2015

Co-Authors (by relevance)

  • Uddin, Mezbah
  • Li, Ling
  • Sarlin, Essi Linnea
  • Haapala, Antti
  • Alabbad, Maitham
  • Soares, Guilherme Corrêa
  • Kanerva, Mikko Samuli
  • Vuure, Aart Willem Van
  • Pärnänen, Tuomas
  • Prapavesis, Alexandros
  • Javanshour, Farzin
  • Pournoori, Nazanin
  • Pärnänen, T.
  • Belone, M. C. Lessa
  • Kallio, Pasi
  • Prapavesis, A.
  • Vuure, A. W. Van
  • Layek, R. K.
  • Koivisto, Janne T.
  • Jokinen, Jarno
  • Dastgerdi, Jairan Nafar
  • Kellomäki, Minna
  • Rava, Pantea
  • Ramakrishnan, Karthik
  • Hokka, Mikko
  • Turunen, Jani
  • Vuorinen, Jyrki E.
  • Kettunen, Heikki
  • Hytönen, Pertti
  • Kakkonen, Markus
OrganizationsLocationPeople

thesis

Enriching Mechanical Characterisation Methods of Polymer Composites and Hybrids with Digital Image Correlation

  • Orell, Olli Aleksi
Abstract

Determination of the mechanical properties of materials is largely based on established test methods that aim to generate simple, and typically uniaxial, stress state to the test specimen. If the test specimen behaves homogeneously, the deformation caused by the loading can be measured reliably by common methods. However, as the complexity of the tested material or the geometry of the test specimen increases, the general discrete measuring methods do not necessarily give a true picture of the behaviour of the specimen. This is particularly true for heterogeneous and anisotropic materials whose mechanical response is strongly dependent on the observation point, direction and scale. In these cases, reliable measurements require a more comprehensive examination of deformations, which is typically challenging with traditional discrete measuring methods.<br/><br/>Numerical analysis techniques (such as the finite element method) are increasingly taken advantage of in the identification of material properties, especially when non-uniform stress state is known to occur in the specimen during testing. However, detailed data of the deformed specimen is required in the simulation of the experiments. The measured data must be reliable, as the results of the models are as good as the used raw data.<br/><br/>Digital image correlation (DIC) is an optical method for determining the deformation field from the surface being studied. The objective of this thesis is to improve the reliability and precision of the results produced by the selected experimental test methods using DIC, especially when testing heterogeneous and non-linear–behaving materials. The work is focused on compression tests and methods for determining fracture mechanics properties of polymer coatings and adhesives. The thesis is based on five original scientific publications in which the selected test methods are used to characterise and identify properties of very different materials, including soft hydrogel, fibrous polymer composites, thin polymer coating and adhesive.<br/><br/>In the thesis, the developed method is presented for determining elastic material constants for orthotropic polymer composite using the continuous deformation field provided by DIC with high spatial resolution. DIC was also used to measure the realistic deformation of the soft and transparent compressed hydrogel specimen, enabling more valid characterisation of the stress-strain relationship of the material. The DIC experiments revealed hidden factors that affected the behaviour of the test specimens in the compression tests. The precision of the test methods was thus improved by the systematic use of DIC, since without the full-field measurements, the factors are difficult to recognise and consider in the analysis of the results.<br/><br/>Generally, the analysis of the fracture mechanics tests is based on the monitoring of the progressive crack growth in the test specimen, which is known to be a major source of uncertainty in the methods. The determination of the crack length is performed typically by visual means, which is challenging, if not impossible, especially in mode II tests where the crack faces do not separate per definition. This thesis presents the developed methods to quantitatively evaluate the crack propagation for the investigated fracture mechanics tests based on the deformation fields provided by the DIC. The presented methodology significantly reduces the uncertainty resulting from the subjective interpretation performed by the operator. Major effort is made to evaluate fracture testing with cyclic loading, i.e. fatigue.

Topics
  • impedance spectroscopy
  • surface
  • polymer
  • experiment
  • simulation
  • crack
  • anisotropic
  • fatigue
  • composite
  • compression test