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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in Cooperation with on an Cooperation-Score of 37%

Topics

Publications (17/17 displayed)

  • 2024Low cycle fatigue behaviour of cellular materials: Experimental comparative study of strut-based and gyroid structures made of additively manufactured 316L steel13citations
  • 2022Improving ultra-fast charging performance and durability of all solid state thin film Li-NMC battery-on-chip systems by in situ TEM lamella analysis7citations
  • 2022Microstructural observations of an AA6082-T6 Hybrid Metal Extrusion & Bonding (HYB) butt weld2citations
  • 2022A method for yield and cycle time improvements in Al alloy casting with enhanced conductivity steel for die construction4citations
  • 2022Stress-assisted thermal diffusion barrier breakdown in ion beam deposited Cu/W nano-multilayers on Si substrate observed by in Situ GISAXS and transmission EDX18citations
  • 2021Evolution of stress fields during crack growth and arrest in a brittle-ductile CrN-Cr clamped-cantilever analysed by X-ray nanodiffraction and modelling17citations
  • 2020An experimental and numerical analysis of residual stresses in a TIG weldment of a single crystal nickel-base superalloy50citations
  • 2020Nano-scale residual stress depth profiling in Cu/W nano-multilayers as a function of magnetron sputtering pressure36citations
  • 2020Synchrotron X-ray scattering analysis of nylon-12 crystallisation variation depending on 3D printing conditions16citations
  • 2020Evolution of stress fields during crack growth and arrest in a brittle-ductile CrN-Cr clamped-cantilever analysed by X-ray nanodiffraction and modelling17citations
  • 2020Evolution of thermal and mechanical properties of Nitinol wire as a function of ageing treatment conditions32citations
  • 2019Datasets for multi-scale diffraction analysis (synchrotron XRD and EBSD) of twinning-detwinning during tensile-compressive deformation of AZ31B magnesium alloy samples5citations
  • 2019Micro-scale measurement and FEM modelling of residual stresses in AA6082-T6 Al alloy generated by wire EDM cutting52citations
  • 2019Nanoscale depth profiling of residual stresses due to fine surface finishing29citations
  • 2018Nanoscale residual stress depth profiling by Focused Ion Beam milling and eigenstrain analysis67citations
  • 2017Eigenstrain reconstruction of residual strains in an additively manufactured and shot peened nickel superalloy compressor blade91citations
  • 2016Quantifying eigenstrain distributions induced by focused ion beam damage in silicon39citations

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Chart of shared publication
Magnan, M.
2 / 5 shared
De Bona, F.
1 / 6 shared
Sordetti, F.
1 / 5 shared
Lanzutti, A.
2 / 13 shared
Scalzo, F.
1 / 1 shared
Totis, G.
1 / 4 shared
Sortino, M.
1 / 4 shared
Vaglio, E.
1 / 4 shared
Benasciutti, D.
1 / 9 shared
Pelegatti, M.
1 / 1 shared
Hitosugi, T.
1 / 1 shared
Papadaki, C.
4 / 6 shared
Brandt, Lr
2 / 2 shared
Korsunsky, Am
6 / 46 shared
Simon, Kp
1 / 1 shared
Nishio, K.
1 / 3 shared
Filippo, Berto
1 / 2 shared
Sandnes, L.
1 / 2 shared
Grong, Ø.
1 / 1 shared
Veronesi, P.
1 / 26 shared
Brambilla, E.
1 / 7 shared
Vergnano, A.
1 / 3 shared
Magistrelli, A.
1 / 1 shared
Leali, F.
1 / 2 shared
Romano Brandt, L.
1 / 1 shared
Le Bourhis, E.
2 / 17 shared
Wermeille, D.
1 / 4 shared
Keckes, J.
2 / 48 shared
Todt, J.
1 / 8 shared
Rosenthal, M.
2 / 7 shared
Mitterer, C.
1 / 20 shared
Daniel, R.
2 / 7 shared
Kopecek, J.
2 / 3 shared
Zalesak, J.
1 / 5 shared
Hruby, H.
1 / 1 shared
Meindlhumer, M.
1 / 5 shared
Uzun, F.
1 / 7 shared
Chen, J.
2 / 51 shared
Everaerts, J.
3 / 3 shared
Wang, Z.
2 / 99 shared
Korsunsky, A.
5 / 91 shared
Dolbnya, I.
1 / 12 shared
Romano-Brandt, L.
1 / 1 shared
Moxham, T.
2 / 2 shared
Besnard, C.
1 / 6 shared
De Jager, B.
1 / 1 shared
Dolbnya, Ip
1 / 5 shared
Hruby, Hynek
1 / 5 shared
Mitterer, Christian
1 / 28 shared
Korsunsky, Alexander M.
1 / 32 shared
Zalesak, Jakub
1 / 14 shared
Brandt, L. R.
1 / 1 shared
Meindlhumer, Michael
1 / 12 shared
Daniel, Rostislav
1 / 18 shared
Keckes, Jozef
1 / 41 shared
Todt, Juraj
1 / 24 shared
Jérusalem, A.
1 / 12 shared
Song, X.
1 / 15 shared
Fong, K.
1 / 2 shared
Zhang, H.
1 / 92 shared
Sebastiani, M.
1 / 18 shared
Bemporad, E.
1 / 20 shared
Sui, Tan
1 / 13 shared
Lunt, Alexander J. G.
2 / 31 shared
Mughal, Mz
1 / 2 shared
Korsunsky, A. M.
2 / 18 shared
Sui, T.
2 / 12 shared
Heason, C.
1 / 3 shared
Baxter, G.
1 / 14 shared
Ying, S.
1 / 2 shared
Zhang, H. J.
1 / 2 shared
Bitzek, Erik
1 / 69 shared
Prakash, A.
1 / 18 shared
Mousavi, M.
1 / 4 shared
Guénolé, J.
1 / 3 shared
Chart of publication period
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2022
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Co-Authors (by relevance)

  • Magnan, M.
  • De Bona, F.
  • Sordetti, F.
  • Lanzutti, A.
  • Scalzo, F.
  • Totis, G.
  • Sortino, M.
  • Vaglio, E.
  • Benasciutti, D.
  • Pelegatti, M.
  • Hitosugi, T.
  • Papadaki, C.
  • Brandt, Lr
  • Korsunsky, Am
  • Simon, Kp
  • Nishio, K.
  • Filippo, Berto
  • Sandnes, L.
  • Grong, Ø.
  • Veronesi, P.
  • Brambilla, E.
  • Vergnano, A.
  • Magistrelli, A.
  • Leali, F.
  • Romano Brandt, L.
  • Le Bourhis, E.
  • Wermeille, D.
  • Keckes, J.
  • Todt, J.
  • Rosenthal, M.
  • Mitterer, C.
  • Daniel, R.
  • Kopecek, J.
  • Zalesak, J.
  • Hruby, H.
  • Meindlhumer, M.
  • Uzun, F.
  • Chen, J.
  • Everaerts, J.
  • Wang, Z.
  • Korsunsky, A.
  • Dolbnya, I.
  • Romano-Brandt, L.
  • Moxham, T.
  • Besnard, C.
  • De Jager, B.
  • Dolbnya, Ip
  • Hruby, Hynek
  • Mitterer, Christian
  • Korsunsky, Alexander M.
  • Zalesak, Jakub
  • Brandt, L. R.
  • Meindlhumer, Michael
  • Daniel, Rostislav
  • Keckes, Jozef
  • Todt, Juraj
  • Jérusalem, A.
  • Song, X.
  • Fong, K.
  • Zhang, H.
  • Sebastiani, M.
  • Bemporad, E.
  • Sui, Tan
  • Lunt, Alexander J. G.
  • Mughal, Mz
  • Korsunsky, A. M.
  • Sui, T.
  • Heason, C.
  • Baxter, G.
  • Ying, S.
  • Zhang, H. J.
  • Bitzek, Erik
  • Prakash, A.
  • Mousavi, M.
  • Guénolé, J.
OrganizationsLocationPeople

article

Eigenstrain reconstruction of residual strains in an additively manufactured and shot peened nickel superalloy compressor blade

  • Korsunsky, A. M.
  • Sui, T.
  • Salvati, E.
  • Heason, C.
  • Baxter, G.
  • Ying, S.
  • Lunt, Alexander J. G.
  • Zhang, H. J.
Abstract

<p>Numerical modelling of the residual stresses and strains within mechanical components is of great importance for improving the quality and reliability of design for structural integrity. A particularly versatile and powerful approach is offered by direct and inverse eigenstrain modelling. The nature of the eigenstrain modelling approach is that it not only generates an efficient parametric representation of the residual stress field, but also ensures consistency by enforcing stress equilibrium and strain compatibility. In the present study we propose a particular way of prescribing the eigenstrain field due to surface treatment such as shot peening. Eigenstrain variation is described by a continuous function of the distance from the boundary of the object in a two-dimensional model of its cross-section. The procedure is compatible with the use of commercial numerical simulation software, and allows correct assignment of all eigenstrain components. We apply the technique to the evaluation of residual strain within an additively manufactured nickel superalloy compressor blade that was subsequently subjected to shot peening treatment. Two experimental techniques are used to validate the model, namely, Focused Ion Beam ring core milling (FIB-DIC) and synchrotron X-ray Powder Diffraction (SXRPD). Consistency between model prediction and experimental measurements provides verification of the suitability of eigenstrain modelling as consistent basis for the incorporation of residual stress effects on the deformation behaviour of manufactured components.</p>

Topics
  • impedance spectroscopy
  • surface
  • nickel
  • simulation
  • grinding
  • milling
  • focused ion beam
  • two-dimensional
  • superalloy