Wind Tunnel Experiments of Long Arcs in Crossflow

Lightning attachment to aircraft follows a series of distinct phases occurring at disparate timescales. Whereas the stages of leader inception and initial attachment are fast compared to the fluid timescales, once the bidirectional discharge is established, the current flow phase can last on the order of a second: including, current pulses of amplitude ~1kA associated with the stepped propagation of the negative leader, a steady current component (of a few hundred A) and a series of intracloud, cloud-to-ground or cloud-to-cloud process pulses (<100kA). During this time, which corresponds to the most damaging phases of the arc, the aircraft can travel several times its length. At the local level, this swept stroke phase involves the complex interaction between a long arc and a fluid boundary layer. Improved understanding of this local problem can lead to revised modelling approaches of the swept stroke phase. In this contribution we perform wind tunnel experiments of a long arc in cross flow and perform synchronized diagnostics of both the fluid dynamics and the arc dynamics, as a first step to tackling the local problem of lightning attachment associated with the swept stroke. Although the swept stroke phase is most closely represented by a moving electrode setup (the arc column is stagnant with respect to the ambient air and the segment attached to the surface experiences the relative velocity), wind tunnel tests can be useful to isolate the effects of different flow fields on the arc dynamics, as the environment can be easily controlled. In this joint effort between the Massachusetts Institute of Technology, the Universitat Politècnica de Catalunya, and ONERA, we have initiated wind tunnel studies of long arcs, starting from an arc column of length around 20-80cm and currents of ~3A. The experimental setup is equipped to diagnose both the arc properties and the fluid flow. The arc is characterized by its electrical signature (time-resolved current and voltage waveforms) as well as high-speed videography to resolve the elongation of the arc in response to the flow and possible reconnection and reattachment events. The fluid flow field is visualized in 2D using particle image velocimetry (PIV). This setup allows to isolate the influence of the flow dynamics (laminar versus turbulent, separation, etc.) on the arc dynamics.

Institutions

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2024-09-12
DOI
https://doi.org/10.5281/zenodo.13845312
Primary Topic
Urban Green Space and Health
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Wind Tunnel Experiments of Long Arcs in Crossflow

Zenodo (CERN European Organization for Nuclear Research)
Urban Green Space and Health
article

Wind Tunnel Experiments of Long Arcs in Crossflow

article en

Abstract

Lightning attachment to aircraft follows a series of distinct phases occurring at disparate timescales. Whereas the stages of leader inception and initial attachment are fast compared to the fluid timescales, once the bidirectional discharge is established, the current flow phase can last on the order of a second: including, current pulses of amplitude ~1kA associated with the stepped propagation of the negative leader, a steady current component (of a few hundred A) and a series of intracloud, cloud-to-ground or cloud-to-cloud process pulses (<100kA). During this time, which corresponds to the most damaging phases of the arc, the aircraft can travel several times its length. At the local level, this swept stroke phase involves the complex interaction between a long arc and a fluid boundary layer. Improved understanding of this local problem can lead to revised modelling approaches of the swept stroke phase. In this contribution we perform wind tunnel experiments of a long arc in cross flow and perform synchronized diagnostics of both the fluid dynamics and the arc dynamics, as a first step to tackling the local problem of lightning attachment associated with the swept stroke. Although the swept stroke phase is most closely represented by a moving electrode setup (the arc column is stagnant with respect to the ambient air and the segment attached to the surface experiences the relative velocity), wind tunnel tests can be useful to isolate the effects of different flow fields on the arc dynamics, as the environment can be easily controlled. In this joint effort between the Massachusetts Institute of Technology, the Universitat Politècnica de Catalunya, and ONERA, we have initiated wind tunnel studies of long arcs, starting from an arc column of length around 20-80cm and currents of ~3A. The experimental setup is equipped to diagnose both the arc properties and the fluid flow. The arc is characterized by its electrical signature (time-resolved current and voltage waveforms) as well as high-speed videography to resolve the elongation of the arc in response to the flow and possible reconnection and reattachment events. The fluid flow field is visualized in 2D using particle image velocimetry (PIV). This setup allows to isolate the influence of the flow dynamics (laminar versus turbulent, separation, etc.) on the arc dynamics.

Zenodo (CERN European Organization for Nuclear Research)
Office National d'Études et de Recherches Aérospatiales (FR), Lightning Packs (United States) (US), Institut Franco-Allemand de Recherches de Saint-Louis (FR), Massachusetts Institute of Technology (US), Universitat Politècnica de Catalunya (ES)
Affordable and clean energy
Openalex Percentile: Top 53%
Urban Green Space and Health
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.