Open AccessPosted Content
Exploration of cavitation-induced erosion metrics in throttle flow simulations.
TL;DR: In this article, a numerical investigation was conducted within the CONVERGE modeling framework to assess proposed cavitation erosion metrics in the literature, and their link to the predicted cavitation cloud collapse mechanism.
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Abstract: Although there have been extensive experimental and computational investigations in characterizing cavitation phenomenon in both diesel and gasoline direct injectors, much is still unknown about the mechanisms driving cavitation-induced erosion, and how this complicated fluid-structure interaction should be modeled. To explore current modeling capabilities, a numerical investigation was conducted within the CONVERGE modeling framework to assess proposed cavitation erosion metrics in the literature, and their link to the predicted cavitation cloud collapse mechanism. The multiphase flow within the Winklhofer Throttle U geometry was modeled using a compressible mixture model, where phase change was represented using the Homogeneous Relaxation Model (HRM) and the turbulent flow evolution was modeled using a dynamic structure approach for Large Eddy Simulations (LES). After comparing the model predictions against available experimental data, representative condensation events and potential cavitation erosion sites were identified. The cavitation cloud structures responsible for potential material damage were visualized through the evolution of the vorticity field. For the modeled throttle geometry, it was found that the horseshoe cloud implosion mechanism was predicted to occur and generate excessive impact loads at the throttle boundary.
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Citations
Time-resolved 3D imaging of two-phase fluid flow inside a steel fuel injector using synchrotron X-ray tomography.
Aniket Tekawade,Brandon Sforzo,Katarzyna E. Matusik,Kamel Fezzaa,Alan L. Kastengren,Christopher F. Powell +5 more
TL;DR: Time-resolved imaging under these low-light conditions is achieved by exploiting both the refractive and absorptive properties of X-ray photons, which reveals strong flow separation and vapor-filled cavities (cavitation) inside a diesel injection nozzle.
High-fidelity geometry generation from CT data using convolutional neural networks
Aniket Tekawade,Brandon Sforzo,Katarzyna E. Matusik,Alan L. Kastengren,Christopher F. Powell +4 more
- 10 Sep 2019
TL;DR: Recent success is described in automating the segmentation process itself, which is challenging because various artifacts that arise from X-ray imaging and CT reconstruction confound the identification of threshold values needed for traditional segmentation algorithms.
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•Posted Content
Evaluation of a new cavitation erosion metric based on fluid-solid energy transfer in channel flow simulations.
TL;DR: In this paper, the erosive potential of cavitation cloud collapse mechanisms that are likely to occur within injector orifices has been identified and a new metric was derived based on cumulative energy absorbed by the solid material from repeated hydrodynamic impacts.
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Ming Jiang,Raghu Machiraju,David S. Thompson +2 more
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On the mechanisms of cavitation erosion – Coupling high speed videos to damage patterns
Matevž Dular,Martin Petkovšek +1 more
TL;DR: In this article, a thin aluminum foil was attached to the surface of a transparent Venturi section using two-sided transparent adhesive tape, which revealed that the surface was very soft and prone to be severely damaged by cavitation.
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Modelling cavitation erosion using fluid-material interaction simulations.
TL;DR: Material deformation and pitting from cavitation bubble collapse is investigated using fluid and material dynamics and their interaction using a novel hybrid approach that links a boundary element method and a compressible finite difference method.
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