Materials Map

Discover the materials research landscape. Find experts, partners, networks.

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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.

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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.

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Naji, M.
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Biswas, Abhishek

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VTT Technical Research Centre of Finland

in Cooperation with on an Cooperation-Score of 37%

Topics

Publications (27/27 displayed)

  • 2024On the grain level deformation of BCC metals with crystal plasticity modeling:Application to an RPV steel and the effect of irradiation4citations
  • 2024Analysis of rolling contact and tooth root bending fatigue in a new high-strength steel:Experiments and micromechanical modelling3citations
  • 2024On the grain level deformation of BCC metals with crystal plasticity modeling4citations
  • 2024Crystal plasticity model for creep and relaxation deformation of OFP copper1citations
  • 2024Analysis of rolling contact and tooth root bending fatigue in a new high-strength steel: Experiments and micromechanical modelling3citations
  • 2023Estimating Long Term Behaviour Of DED-printed AlCoNiFe Alloycitations
  • 2023Estimating Long Term Behaviour Of DED-printed AlCoNiFe Alloycitations
  • 2023Micromechanical modeling of single crystal and polycrystalline UO2 at elevated temperatures2citations
  • 2023Performance Driven Design And Modeling Of Compositionally Complex AM Al-Co-Ni-Fe Alloyscitations
  • 2023Performance Driven Design And Modeling Of Compositionally Complex AM Al-Co-Ni-Fe Alloyscitations
  • 2023Crystal plasticity model for creep and relaxation deformation of OFP copper1citations
  • 2023Experimental Assessment and Micromechanical Modeling of Additively Manufactured Austenitic Steels under Cyclic Loading2citations
  • 2023Micromechanical modeling of single crystal and polycrystalline UO 2 at elevated temperatures2citations
  • 2023Predicting anisotropic behavior of textured PBF-LB materials via microstructural modeling4citations
  • 2022Micromechanical Modeling of AlSi10Mg Processed by Laser-Based Additive Manufacturing: From as-Built to Heat-Treated Microstructures17citations
  • 2022Micromechanical Modeling of AlSi10Mg Processed by Laser-Based Additive Manufacturing: From as-Built to Heat-Treated Microstructurescitations
  • 2022A hybrid approach for the efficient computation of polycrystalline yield loci with the accuracy of the crystal plasticity finite element methodcitations
  • 2022Data-oriented description of texture-dependent anisotropic material behavior6citations
  • 2022Identification of texture characteristics for improved creep behavior of a L-PBF fabricated IN738 alloy through micromechanical simulations5citations
  • 2022Micromechanical Modeling of AlSi10Mg Processed by Laser-Based Additive Manufacturing:From as-Built to Heat-Treated Microstructures17citations
  • 2020Influence of Pore Characteristics on Anisotropic Mechanical Behavior of Laser Powder Bed Fusion–Manufactured Metal by Micromechanical Modeling15citations
  • 2020Study of the influence of microstructural features of 316L stainless steal produced by selective laser melting on its mechanical propertiescitations
  • 2020Optimized reconstruction of the crystallographic orientation density function based on a reduced set of orientations18citations
  • 2020Optimized reconstruction of the crystallographic orientation density function based on a reduced set of orientations18citations
  • 2020Effect of grain statistics on micromechanical modelingcitations
  • 2020Influence of pore characteristics on anisotropic mechanical behavior of laser powder bed fusion–manufactured metal by micromechanical modeling15citations
  • 2019Optimized reconstruction of the crystallographic orientation density function based on a reduced set of orientationscitations

Places of action

Chart of shared publication
Laukkanen, Anssi
6 / 144 shared
Corrêa Soares, Guilherme
1 / 10 shared
Ren, Sicong
6 / 12 shared
Freimanis, Andris
2 / 6 shared
Serrano, Marta
2 / 23 shared
Karlsen, Wade
2 / 22 shared
Lindroos, Matti
12 / 61 shared
Marjamaa, Vuokko
2 / 2 shared
Ronkainen, Helena
2 / 74 shared
Vallejo-Rodriquez, Luis
1 / 1 shared
Soares, Guilherme Corrêa
1 / 22 shared
Andersson, Tom
8 / 51 shared
Pakarinen, Janne
2 / 15 shared
Pohja, Rami
2 / 27 shared
Nandy, Supriya
4 / 5 shared
Rantala, Juhani
2 / 25 shared
Vallejo Rodríguez, Luis
1 / 3 shared
Rodriguez, Pilar Rey
2 / 3 shared
Lindroos, Tomi
4 / 55 shared
Lagerbom, Juha
4 / 66 shared
Suhonen, Tomi
4 / 50 shared
Rey Rodriguez, Pilar
2 / 2 shared
Olsson, Pär
2 / 19 shared
Costa, Diogo Ribeiro
1 / 3 shared
Heikinheimo, Janne
2 / 6 shared
Vajragupta, Napat
10 / 21 shared
Logvinov, Ruslan
1 / 1 shared
Guth, Stefan
1 / 8 shared
Hartmaier, Alexander
11 / 54 shared
Babinský, Tomáš
1 / 7 shared
Shahmardani, Mahdieh
1 / 4 shared
Paul, Shubhadip
1 / 2 shared
Ribeiro Costa, Diogo
1 / 6 shared
Krempaszky, Christian
1 / 3 shared
Werner, Ewald
1 / 7 shared
Mistry, Nishant
1 / 1 shared
Hitzler, Leonhard
1 / 5 shared
Rajan, Aravindh Nammalvar Raja
1 / 3 shared
Wegener, Thomas
3 / 24 shared
Moeini, Ghazal
3 / 10 shared
Krochmal, Marcel
3 / 14 shared
Niendorf, Thomas
4 / 301 shared
Hartmeier, Alexander
1 / 1 shared
Nammalvar Raja Rajan, Aravindh
2 / 2 shared
Kalidindi, Surya
1 / 5 shared
Schmidt, Jan
1 / 19 shared
Prasad, Mahesh R. G.
3 / 6 shared
Mahesh, R. G. Prasad
1 / 1 shared
Röttger, Arne
2 / 33 shared
Gao, Siwen
2 / 6 shared
Geenen, Karina
2 / 3 shared
Amin, Waseem
2 / 5 shared
Lian, Junhe
2 / 25 shared
Hielscher, Ralf
2 / 5 shared
Kostka, Aleksander
1 / 39 shared
Chart of publication period
2024
2023
2022
2020
2019

Co-Authors (by relevance)

  • Laukkanen, Anssi
  • Corrêa Soares, Guilherme
  • Ren, Sicong
  • Freimanis, Andris
  • Serrano, Marta
  • Karlsen, Wade
  • Lindroos, Matti
  • Marjamaa, Vuokko
  • Ronkainen, Helena
  • Vallejo-Rodriquez, Luis
  • Soares, Guilherme Corrêa
  • Andersson, Tom
  • Pakarinen, Janne
  • Pohja, Rami
  • Nandy, Supriya
  • Rantala, Juhani
  • Vallejo Rodríguez, Luis
  • Rodriguez, Pilar Rey
  • Lindroos, Tomi
  • Lagerbom, Juha
  • Suhonen, Tomi
  • Rey Rodriguez, Pilar
  • Olsson, Pär
  • Costa, Diogo Ribeiro
  • Heikinheimo, Janne
  • Vajragupta, Napat
  • Logvinov, Ruslan
  • Guth, Stefan
  • Hartmaier, Alexander
  • Babinský, Tomáš
  • Shahmardani, Mahdieh
  • Paul, Shubhadip
  • Ribeiro Costa, Diogo
  • Krempaszky, Christian
  • Werner, Ewald
  • Mistry, Nishant
  • Hitzler, Leonhard
  • Rajan, Aravindh Nammalvar Raja
  • Wegener, Thomas
  • Moeini, Ghazal
  • Krochmal, Marcel
  • Niendorf, Thomas
  • Hartmeier, Alexander
  • Nammalvar Raja Rajan, Aravindh
  • Kalidindi, Surya
  • Schmidt, Jan
  • Prasad, Mahesh R. G.
  • Mahesh, R. G. Prasad
  • Röttger, Arne
  • Gao, Siwen
  • Geenen, Karina
  • Amin, Waseem
  • Lian, Junhe
  • Hielscher, Ralf
  • Kostka, Aleksander
OrganizationsLocationPeople

article

Influence of pore characteristics on anisotropic mechanical behavior of laser powder bed fusion–manufactured metal by micromechanical modeling

  • Hartmaier, Alexander
  • Biswas, Abhishek
  • Röttger, Arne
  • Gao, Siwen
  • Geenen, Karina
  • Prasad, Mahesh R. G.
  • Amin, Waseem
  • Lian, Junhe
  • Vajragupta, Napat
Abstract

In recent times, additive manufacturing (AM) has proven to be an indispensable technique for processing complex 3D parts because of the versatility and ease of fabrication it offers. However, the generated microstructures show a high degree of complexity due to the complex solidification process of the melt pool. In this study, micromechanical modeling is applied to gain deeper insight into the influence of defects on plasticity and damage of 316L stainless steel specimens produced by a laser powder bed fusion (L-PBF) process. With the statistical data obtained from microstructure characterization, the complex AM microstructures are modeled by a synthetic microstructure generation tool. A damage model in combination with an element deletion technique is implemented into a nonlocal crystal plasticity model to describe anisotropic mechanical behavior, including damage evolution. The element deletion technique is applied to effectively model the growth and coalescence of microstructural pores as described by a damage parameter. Numerical simulations show that the shape of the pores not only affects the yielding and hardening behavior but also influences the porosity evolution itself.

Topics
  • impedance spectroscopy
  • pore
  • stainless steel
  • simulation
  • melt
  • anisotropic
  • selective laser melting
  • plasticity
  • porosity
  • crystal plasticity
  • solidification