Tonry, C.E.H., Patel, M.K., Bailey, C. ORCID: 0000-0002-9438-3879 , Desmuliez, M.P.Y. and Yu, W. (2013) Micro-scale modelling challenges in electric field assisted capillarity. In: Proceedings. 12th International Symposium on Distributed Computing and Applications to Business, Engineering & Science. DCABES 2013. IEEE Computer Society. Conference Publishing Services (CPS), Los Alamitos, CA, USA, 40- 43. ISBN 978-0769550602 (doi:https://doi.org/10.1109/DCABES.2013.57)

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Abstract

Electric field Assisted Capillarity (EFAC) is a novel method for the fabrication of hollow microstructures in polymers. It involves both electrostatic and multiphase fluid dynamics modelling with special attention paid to surface tension due to the large capillary forces involved. This presents several challenges in the modelling, firstly due to the small scale involved (Domain sizes of 10-300 micron) and secondly due to the large electrostatic and dielectric forces involved in the process. In addition the small scale creates large curvatures resulting in modelling stability which can be difficult to handle numerically. This paper considers the phase field technique for modelling the free surface flows involved in the process and why the proposed micro-scale technique is numerically more stable than other commonly used level set techniques.

Item Type:	Conference Proceedings
Title of Proceedings:	Proceedings. 12th International Symposium on Distributed Computing and Applications to Business, Engineering & Science. DCABES 2013
Additional Information:	[1] This paper was first presented at DCABES 2013, the 12th International Symposium on Distributed Computing and Applications to Business, Engineering & Science held from 2-4 September 2013 in Kingston upon Thames, Surrey, United Kingdom.
Uncontrolled Keywords:	capillarity, dielectric liquids, domains, electric field effects, flow simulation, microfabrication, multiphase flow, polymer solutions, surface tension
Subjects:	Q Science > QA Mathematics > QA76 Computer software T Technology > TK Electrical engineering. Electronics Nuclear engineering
Faculty / School / Research Centre / Research Group:	Faculty of Engineering & Science > School of Computing & Mathematical Sciences (CMS) Faculty of Engineering & Science
Last Modified:	04 Mar 2022 13:08
URI:	http://gala.gre.ac.uk/id/eprint/12188

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