| 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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Pinomaa, Tatu
VTT Technical Research Centre of Finland
in Cooperation with on an Cooperation-Score of 37%
Topics
Publications (38/38 displayed)
- 2024OpenPFC:An open-source framework for high performance 3D phase field crystal simulationscitations
- 2024OpenPFCcitations
- 2024Influence of laser beam shaping on the cracking behavior of tungsten at single weld linescitations
- 2023Modelling of the Solidifying Microstructure of Inconel 718citations
- 2023Chromium-based bcc-superalloys strengthened by iron supplementscitations
- 2023Modelling of the Solidifying Microstructure of Inconel 718: Quasi-Binary Approximationcitations
- 2023Modelling of the Solidifying Microstructure of Inconel 718:Quasi-Binary Approximationcitations
- 2022Dislocation density in cellular rapid solidification using phase field modeling and crystal plasticitycitations
- 2022An atomistic simulation study of rapid solidification kinetics and crystal defects in dilute Al–Cu alloyscitations
- 2022Numerical Design Of High Entropy Super Alloy Using Multiscale Materials Modeling And Deep Learning
- 2022Multiscale analysis of crystalline defect formation in rapid solidification of pure aluminium and aluminium–copper alloyscitations
- 2022Single-Track Laser Scanning as a Method for Evaluating Printability: The Effect of Substrate Heat Treatment on Melt Pool Geometry and Cracking in Medium Carbon Tool Steelcitations
- 2022Multiscale analysis of crystal defect formation in rapid solidification of pure aluminium and aluminium-copper alloys
- 2022Laser Powder Bed Fusion Of High Carbon Tool Steels
- 2022Experimental and Calphad Methods for Evaluating Residual Stresses and Solid-State Shrinkage after Solidificationcitations
- 2022Opportunities Of Physics-Based Multi-Scale Modeling Tools In Assessing Intra-Grain Heterogeneities, Polycrystal Properties And Residual Stresses Of AM Metals
- 2021Micromechanical modeling approach to single track deformation, phase transformation and residual stress evolution during selective laser melting using crystal plasticitycitations
- 2021Quantitative phase field simulations of polycrystalline solidification using a vector order parametercitations
- 2021Orientation Gradients in Rapidly Solidified Pure Aluminum Thin Filmscitations
- 2020Development and validation of coupled erosion-corrosion model for wear resistant steels in environments with varying pHcitations
- 2020Modelling selective laser melting machine configurations
- 2020Phase field modeling of rapid resolidification of Al-Cu thin filmscitations
- 2020The significance of spatial length scales and solute segregation in strengthening rapid solidification microstructures of 316L stainless steelcitations
- 2020Phase field modeling of rapid solidification for thin films and additive manufacturing ; Nopean jähmettymisen faasikenttämallinnusta ohutkalvoille ja materiaalia lisäävälle valmistuksellecitations
- 2019Data-Driven Optimization Of Metal Additive Manufacturing Solutions
- 2019On The Linking Performance Evaluation Toolset To Process-structure-properties Mapping Of Selective Laser Melting 316L Stainless Steel Using Micromechanical Approach With A Length-scale Dependent Crystal Plasticity
- 2019Quantitative phase field modeling of solute trapping and continuous growth kinetics in quasi-rapid solidificationcitations
- 2019Process-Structure-Properties-Performance Modeling for Selective Laser Meltingcitations
- 2018Process-to-structure mapping of selective laser melting of a nickel based superalloy via phase field modelling
- 2018Micromechanical model for fatigue limit of metal AM parts and materials
- 2017Micromechanical modeling of failure behavior of metallic materialscitations
- 2016Effective interface model for design and tailoring of wc-co microstructurescitations
- 2016Modeling chloride ingress under freeze-thaw loading – 3D fem approach
- 2016Modeling chloride ingress under freeze-thaw loading – 3D fem approach
- 2016Component scale process model for metal additive manufacturing
- 2015Effective interface model for design and tailoring of wc-co microstructures
- 2015Mesoscale modelling of short crack initiation in metallic selective laser melting microstructures
- 2015Phase field analysis of solidification structures and interface composition in WC-Co hard metals
Places of action
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article
Development and validation of coupled erosion-corrosion model for wear resistant steels in environments with varying pH
Abstract
Erosion-corrosion, the combined loss of material due to combined effects of particle erosion and electrochemical corrosion, has due to its complexity largely evaded modeling efforts. Assessment of the synergy between erosion and corrosion leading in extreme conditions to far greater material losses than for the mechanisms individually has proven elusive. Various analytical and semi-empirical approaches have been proposed with varying degree of success, but it has been a typical outcome that the predictive capabilities or transferability of such modeling efforts have been less than desirable. In current work this aspect is addressed and improvement is seeked by introducing a concept merging computational fluid dynamics (CFD) and the point defect model (PDM) to a micromechanical finite element (FE) formulated wear model. The implemented approach is utilized to study erosion-corrosion in a stirring tank configuration where flow velocity, abrasive particle type, solution chemistry, temperature and pH are varied. In order to investigate model performance experimental work supplemented by a detailed characterization regime is performed to produce a dataset for model validation for a wear resistant steel with two different abrasives, quartz and chromite particles. The respective experiments indicative of industrially relevant erosion-corrosion conditions are modelled and the Results are directly compared to model predictions. The erosion-corrosion model is found to produce satisfactory results in relation to the validation tests and predict the main trends of the experimental dataset appropriately. The capabilities and approximations underlying the introduced erosion-corrosion model are evaluated, discussed and future development needs identified.