| People | Locations | Statistics |
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| Naji, M. |
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| Motta, Antonella |
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| Aletan, Dirar |
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| Mohamed, Tarek |
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| Ertürk, Emre |
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| Taccardi, Nicola |
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| Kononenko, Denys |
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| Petrov, R. H. | Madrid |
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| Alshaaer, Mazen | Brussels |
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| Bih, L. |
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| Casati, R. |
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| Muller, Hermance |
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| Kočí, Jan | Prague |
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| Šuljagić, Marija |
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| Kalteremidou, Kalliopi-Artemi | Brussels |
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| Azam, Siraj |
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| Ospanova, Alyiya |
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| Blanpain, Bart |
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| Ali, M. A. |
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| Popa, V. |
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| Rančić, M. |
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| Ollier, Nadège |
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| Azevedo, Nuno Monteiro |
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| Landes, Michael |
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| Rignanese, Gian-Marco |
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Andrä, Heiko
in Cooperation with on an Cooperation-Score of 37%
Topics
Publications (19/19 displayed)
- 2024Exploring VAE-driven implicit parametric unit cells for multiscale topology optimizationcitations
- 2023Image-based microstructural simulation of thermal conductivity for highly porous wood fiber insulation boardscitations
- 2023Factors influencing the dynamic stiffness in short‐fiber reinforced polymers
- 2022Highly Shrinkable Objects as Obtained from 4D Printingcitations
- 2022A space-time upscaling technique for modeling high-cycle fatigue-damage of short-fiber reinforced compositescitations
- 2022Multi-scale fatigue model to predict stiffness degradation in short-fiber reinforced composites
- 2022Accounting for viscoelastic effects in a multiscale fatigue model for the degradation of the dynamic stiffness of short-fiber reinforced thermoplastics
- 2022Recognizing the Potential of 4D-Printing
- 2021Integrative Simulation für faserverstärkte Bauteile/Integrative simulation for fiber-reinforced components
- 2021A multiscale high-cycle fatigue-damage model for the stiffness degradation of fiber-reinforced materials based on a mixed variational framework
- 2021Simulation Model for Direct Laser Writing of Metallic Microstructures Composed of Silver Nanoparticlescitations
- 2021Efficient Characterization and Modelling of the Nonlinear Behaviour of LFT for Crash Simulationscitations
- 2021A computational multi-scale model for the stiffness degradation of short-fiber reinforced plastics subjected to fatigue loadingcitations
- 2020The effective thermal conductivity of double-reinforced compositescitations
- 2019Material characterization and compression molding simulation of CF-SMC materials in a press rheometry testcitations
- 2017Virtual characterization of MDF fiber networkcitations
- 2014Microsopic Simulation of Thermally‐Induced 2nd Order Eigenstresses in AlSi‐Alloys
- 2012Constitutive models for static granular systems and focus to the Jiang-Liu hyperelastic law
- 2002Macroscopic modeling of shape memory alloys under non-proportional thermo-mechanical loadingscitations
Places of action
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article
Microsopic Simulation of Thermally‐Induced 2nd Order Eigenstresses in AlSi‐Alloys
Abstract
<jats:title>Abstract</jats:title><jats:p>Due to the different coefficients of thermal expansion of aluminium and silicon, high residual stresses of second order occur in Al‐Si alloys depending on the cooling rate during the molding process. In products as for example crank cases made of Al‐Si alloys these residual stresses may cause microcracks. In the work at hand measurements of the eigenstresses in the single phases (i.e. residual stresses of second kind) performed via neutron diffractometry are compared to numerical simulations for a specific cooling rate. To this end a three‐phase model is presented, which considers the α aluminium, the eutectic aluminium, and the silicon particles. The presented model is able to predict the residual stresses in the single phases within an elastoplastic framework. The simulation of tensile loadings of these structures are compared to experiments. The numerical computations are carried on stochastic geometry models by using a fast solver [1] for the Lippmann‐Schwinger integral equation, which is based on the fast Fourier transformation. (© 2014 Wiley‐VCH Verlag GmbH & Co. KGaA, Weinheim)</jats:p>