| 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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Knowles, David M.
University of Bristol
in Cooperation with on an Cooperation-Score of 37%
Topics
Publications (19/19 displayed)
- 2024A correlative approach to evaluating the links between local microstructural parameters and creep initiated cavitiescitations
- 2024Productive Automation of Calibration Processes for Crystal Plasticity Model Parameters via Reinforcement Learningcitations
- 2024Calibration and surrogate model-based sensitivity analysis of crystal plasticity finite element models
- 2024Towards a Data-Driven Evolutionary Model of the Cyclic Behaviour of Austenitic Steels
- 2024Effect of grain boundary misorientation and carbide precipitation on damage initiationcitations
- 2023Exploring 3D X-Ray Diffraction Method to Validate Approaches in Materials Modelling
- 2022A method to extract slip system dependent information for crystal plasticity modelscitations
- 2022The effects of internal stresses on the creep deformation investigated using in-situ synchrotron diffraction and crystal plasticity modellingcitations
- 2021Comparing Techniques for Quantification of Creep Cavities
- 2021The role of grain boundary ferrite evolution and thermal aging on creep cavitation of type 316H austenitic stainless steelcitations
- 2021Evaluation of fracture toughness and residual stress in AISI 316L electron beam weldscitations
- 2020Microstructure-informed, predictive crystal plasticity finite element model of fatigue-dwellscitations
- 2020A novel insight into the primary creep regeneration behaviour of a polycrystalline material at high-temperature using in-situ neutron diffractioncitations
- 2020A novel insight into the primary creep regeneration behaviour of a polycrystalline material at high-temperature using in-situ neutron diffractioncitations
- 2020The role of grain boundary orientation and secondary phases in creep cavity nucleation of a 316h boiler headercitations
- 2019Effect of Plasticity on Creep Deformation in Type 316h Stainless Steel
- 2019Development of Fatigue Testing System for in-situ Observation of Stainless Steel 316 by HS-AFM & SEMcitations
- 2018Influence of prior cyclic plasticity on creep deformation using crystal plasticity modellingcitations
- 2018Comparison of predicted cyclic creep damage from a multi-material weldment FEA model and the traditional r5 volume 2/3 weldment approach
Places of action
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document
Exploring 3D X-Ray Diffraction Method to Validate Approaches in Materials Modelling
Abstract
Cyclic high temperature deformation, which is a precursor to creep-fatigue damage is one of the main life limiting factors in thermal power plants. Microstructurally informed models such as crystal plasticity have shown great promise in predicting cyclic plasticity and creep deformation; however, further validation of predicted meso-scale deformation is required to ensure accurate damage calculations. Here, a novel 3D X-ray diffraction (3DXRD) experiment was performed to resolve and investigate the response of individual grains within a polycrystalline material under loading at elevated temperature. Specimens were made from 316H stainless steel, which is an alloy commonly used for critical structural components in thermal power generation plants. The 3DXRD experiments were conducted at the UK national synchrotron facility, Diamond Light Source. The measurements provided positions, strain tensors, and orientations of individual grains within a gauge volume. The data generated from 3DXRD was used both as an input and for the validation of a crystal plasticity finite element model (CPFE). The results provided demonstrate the importance of microstructural information in materials modelling.<br/><br/>