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Abstract In many electrochemical processes, the transport of charged species is governed by the Nernst–Planck equation, which includes terms for both diffusion and electrochemical migration. In this work, a multi-physics, multi-species model based on the smoothed particle hydrodynamics (SPH) method is presented to model the Nernst–Planck equation in systems with electrodeposition. Electrodeposition occurs when ions are deposited onto an electrode. These deposits create complex boundary geometries, which can be challenging for numerical methods to resolve. SPH is a particularly effective numerical method for systems with moving and deforming boundaries due to its particle nature. This paper discusses the SPH implementation of the Nernst–Planck equations with electrodeposition and verifies the model with an analytical solution and a numerical integrator. A convergence study of migration and precipitation is presented to illustrate the model’s accuracy, along with comparisons of the deposition growth front to experimental results.
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High-fidelity simulations of electrolyte jets in an electric field
When an electrolyte jet is injected through a grounded nozzle into a region with an electric field, non-axisymmetric whipping instabilities are often observed in the jet. These instabilities are characterized by large scale violent, chaotic and quick whips of the jet. This system is numerically modeled using an electrohydrodynamic formulation that includes the Nernst-Planck model for ion transport with an aim to investigate the origin and propagation of the instabilities in the jet. Simulating this process will help gain an in-depth insight into the complex physical phenomena that occur. In this article, the formulation and modeling of electrolyte jets using a Poisson–Nernst–Planck (PNP) model is discussed.
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- Award ID(s):
- 1749779
- PAR ID:
- 10324144
- Date Published:
- Journal Name:
- ICLASS 2021, 15th Triennial International Conference on Liquid Atomization and Spray Systems
- Format(s):
- Medium: X
- Sponsoring Org:
- National Science Foundation
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Accepted Manuscript1.0
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