| 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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Mcbride, John Willaim
University of Southampton
in Cooperation with on an Cooperation-Score of 37%
Topics
Publications (20/20 displayed)
- 2019Transient contact opening forces in a MEMS switch using Au/MWCNT compositecitations
- 2019Arc modeling to predict arc extinction in low-voltage switching devicescitations
- 2018In-situ contact surface characterization in a MEMS ohmic switch under low current switchingcitations
- 2015Characterisation of nanographite for MEMS resonators
- 2013A review of micro-contact physics for microelectromechanical systems (MEMS) metal contact switchescitations
- 2012The effects of porosity, electrode and barrier materials on the conductivity of piezoelectric ceramics in high humidity and dc electric fieldcitations
- 2009The effect of relative humidity, temperature and electrical field on leakage currents in piezo-ceramic actuators under dc biascitations
- 2009Micro-computer tomography-An aid in the investigation of structural changes in lead zirconate titanate ceramics after temperature-humidity bias testingcitations
- 2009Study of temperature change and vibration induced fretting on intrinsically conducting polymer contact systemscitations
- 2006The contact resistance force relationship of an intrinsically conducting polymer interfacecitations
- 2006The influence of thermal cycling and compressive force on the resistance of poly(3,4-ethylenedioxythiophene)/poly(4-styrenesulfonic acid)-coated surfacescitations
- 2005Intermittency events in bio-compatible electrical contactscitations
- 2005The fretting characteristics of intrinsically conducting polymer contacts
- 2005Displacement measurements at the connector contact interface employing a novel thick film sensorcitations
- 2004The contact resistance force relationship of an intrinsically conducting polymer interfacecitations
- 2004Minimising fretting slip in connector terminals using conducting polymer contacts
- 2002Fretting in connector terminals using conducting polymer contacts
- 2002Fretting corrosion studies of an extrinsic conducting polymer and tin Interfacecitations
- 2002Fretting corrosion and the reliability of multicontact connector terminalscitations
- 2000Degradation of road tested automotive connectorscitations
Places of action
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conferencepaper
Arc modeling to predict arc extinction in low-voltage switching devices
Abstract
Arc modelling is one of the most effective tools to evaluate switching performance of low-voltage switching devices (LVSDs), reducing the testing requirements of real devices; however, there is still a limitation on the ability to predict re-ignition. It has been shown that re-ignition in LVSDs is strongly dependent on the exit arc voltage (the value of arc voltage just prior to the current zero point) and the ratio of the recovery voltage to exit arc voltage at the current zero point. In order to predict re-ignition reliably, it is necessary to improve the ability to predict the exit arc voltage from arc modelling.In previous modelling studies of the arc in the splitter plates, a relationship between the potential drop and current density (V-J curve) in the arc root region (a thin layer between the arc column and the metal surface of the cathode or anode) was proposed to consider the effect of the arc root formation in the splitter plates. The paper presents a modified method to improve the ability to predict the exit arc voltage. The arc voltage waveform and the exit arc voltage are simulated, based on the modified V-J curve and the effectiveness of the arc model is evaluated by comparing the simulated result with experimental data.