| Zugriffsnummer | 48439 |
| Dokumenttyp | Zeitschriftenartikel |
| Peer Review | mit Peer Review |
| Sprache | Englisch |
| Titel | A computational framework for electrification of liquid flows |
| Autor(in); Institution |
Calero, Mathieu; Institute of Mechanics, Materials and Civil Engineering, BELGIUM
Grosshans, Holger; 3.5, Explosionsschutz in der Energietechnik, PTB-Braunschweig
Papalexandris, Miltiadis V.; Institute of Mechanics, Materials and Civil Engineering, BELGIUM
|
| Quelle/Jahr | Journal of Loss Prevention in the Process Industries: 74 (2022), 1 - 8 |
| Artikelnummer | 104637 |
| ISSN | 0950-4230 (PRINT) |
| DOI | |
| Verlag | Amsterdam: Elsevier |
| Freie Schlagworte | Flow electrification ; Turbulent flows ; Dielectric liquids ; Numerical simulations ; Electrical double layer ; Electrohydrodynamics |
| Zusammenfassung | Flow electrification constitutes a significant hazard to operational safety in industry and for this reason it has been studied in detail over the years. It is generally accepted that the impact of turbulence on the electrification of liquids is of paramount importance. More specifically, at sufficiently high Reynolds numbers and for low-conductivity liquids such as hydrocarbons, the thickness of the hydrodynamic boundary layer can become comparable to that of the electrical double layer. This can lead to increased charge diffusion towards the bulk of the flow and, subsequently, flow electrification. However, quantitative information of the underpinning mechanisms of this phenomenon is still lacking. In this paper we present a computational framework for the study of electrification of liquid flows via numerical simulations. In the first part of the paper, we present the governing equations and describe the proposed algorithm and its implementation in pafiX, which is a computational tool for the simulation of fluid flows related to explosion protection. In the second part, we present results from numerical tests that we performed in order to access the efficiency of the proposed computational framework. |
| Förderinformationen (1) |
Förderername: European Research Council (ERC)
Förderer ID: 0000 0000 8923 0953 Förderer ID Typ: ISNI Förderprogramm: Horizon 2020 Titel der Förderung: PowFEct Förderungsnummer: 947606 |
| Förderinformationen (2) |
Förderername: National Research Fund of Belgium (FNRS)
Förderprogramm: FLOW-CHARGE |