Multiphysics Based Design Study of an Atmospheric Icing Sensor

Authors

  • U Mughal
  • M Virk
  • M Mustafa

DOI:

https://doi.org/10.21152/1750-9548.10.3.303

Abstract

A design study of an atmospheric icing sensor is presented in this article. The proposed design of the sensor is aimed to detect an atmospheric icing event, to determine ice type as well as to measure icing load, icing rate and melting rate. This sensor is constantly slowly rotating cylinder with four fins which measure atmospheric icing load and icing rate using rotational load measurement technique. By replacing the fins with capacitance measurement cards, this sensor will be able to confirm an icing event, determining icing type and measure melting rate. Combination of multiphysics tools are employed to optimize the various design parameters of the sensor. Finally a working model was manufactured to check the basic functionality of the sensor in the laboratory.

References

ISO, 1. ISO 12494: Atmospheric icing of structures. 2000.

Mughal, U.N., M.S. Virk, and M.Y. Mustafa, State of the Art Review of Atmospheric Icing Sensors. Sensors and Transducers, 2016. 198(3): p. 2-15.

Foder, M.H. ISO 12494 - Atmospheric icing on structures and how to use it. in Proceedings of the Eleventh (2001) International Offshore and Polar Engineering Conference. 2001. Norway.

International Standard ISO12494, in Atmospheric Icing. 2001.

Ice Meter. 2014 [cited 2014 September 10]; Available from: site.

Ice Load Monitor Webpage. 2014 [cited 2014 September 10]; Available from: site.

Fikke, S., COST 727: Atmospheric icing on structures, measurement and data collection on icing, state of the art. 2006, MeteoSwiss. p. 110.

Parent, O. and A. Illinca, Anti icing and de icing techniques for wind turbines - Critical Review. Cold Regions Science and Technology, 2011. 65: p. 12. https://doi.org/10.1016/j.coldregions.2010.01.005

Wickman, H., J.A. Dahlberg, and P.K. Vattenfall, Experiences of different ice measurement methods, E.r. 13:15, Editor. 2013.

Mughal, U.N. and M.S. Virk, Numerical Study of Atmospheric Ice Accretion on Rotating Geometric Cross Sections with fins. Journal of Computional Multiphase Flow, 2016. Accepted. https://doi.org/10.1177/1757482x16634183

Ansys Fensap-Ice. Fesnsap-Ice [cited 2016 June 21st]; Available from: site.

Spalart–Allmaras turbulence model. 2016 [cited 2016 June 21st]; Available from: site.

Mughal, U.N., et al., Experimental Validation of Icing Rate Using Rotational Load. Submitted in Journal of Cold Regions Science and Technology, 2016. https://doi.org/10.1016/j.coldregions.2016.03.012

Langmuir and Blodgett, A mathematical investigation of water droplet trajectories, in Collected works of Irwing Langmuir. 1946, Pergamon Press. p. 46.

Makkonen, L., Modeling of ice accretion on wires. Journal of Climate and Applied Meteorology, 1984. 23: p. 11. https://doi.org/10.1175/1520-0450(1984)023<0929:moiaow>2.0.co;2

Makkonen, L., Estimating Intensity of Atmospheric Ice Accretion on Stationary Structures. J. Appl. Meteor., 1981. 20: p. 6. https://doi.org/10.1175/1520-0450(1981)020<0595:eioaia>2.0.co;2

Makkonen, L., Models for the growth of rime, glaze, icicles, and wet snow on structures. Philosophical Transactions of the Royal Society of London, 2000. 358(1776): p. 26. https://doi.org/10.1098/rsta.2000.0690

Mughal, U.N. and M.S. Virk, Ice Accretion Intensities on Constantly Slowly Rotating Icing Sensor with Fins. Manuscript Submitted in Journal of Offshore Mechanics and Arctic Engineering, 2016.

Kao, K., Dielectric Phenomena in Solids, ed. Elsevier. 2004.

Evans, S., Dielectric properties of ice and snow - a review. Journal of Glaciology, 1965. 5: p. 773-792.

Stiles, W.H. and F.T. Ulaby, Dielectric Properties of Snow. Journal of Geophysical Research, 1981. 85(C2).

Kuroiwa, D., The dielectric property of snow. 1954: International Association of Scientific Hydrology.

Mughal, U.N., M.S. Virk, and M.Y. Mustafa. Dielectric based sensing of atmospheric ice. in AIP Conference Proceedings. 2012. Sozopol, Bulgaria: AIP.

Mughal, U.N. and M.S. Virk. A Numerical Comparison of Dielectric based Measurement of Atmospheric Ice Using Comsol. in Comsol Multiphysics. 2012. Milan, Italy.

Mughal, U.N. and M.S. Virk. Analytical Modeling of Conductivity of Atmospheric Ice - Part I. in ICNPAA. 2014. Narvik, Norway. https://doi.org/10.1063/1.4907292

Group, Q.R. Datasheet QT60240. [cited 2014 May]; Available from: site.

Mughal, U.N., B. Shu, and T. Rashid, Proof of Concept of Atmospheric Icing Sensor to detect icing, determine icing type and measure melting rate. Submitted in IEEE Transactions on Dielectrics and Electical Insulation, Paper ID 6048, 2016.

Devices, A. Datasheet AD5933. 2016 [cited 2016 March 14th]; Available from: site.

Stiles, W.H. and F.T. Ulaby, Dielectric properties of snow. Journal of Geophysical Research, 1981. 85(C2): p. 91-103.

Kuroiwa, D., The dielectric property of snow. Union Geodesique et Geophysique International 1956. Association Internationale of Hdrologie Scientifique, Assemblee generale de Rome,(4): p. 52-63. https://doi.org/10.1007/bf02526293

Published

2016-09-30

How to Cite

Mughal, U., Virk, M. and Mustafa, M. (2016) “Multiphysics Based Design Study of an Atmospheric Icing Sensor”, The International Journal of Multiphysics, 10(3), pp. 303-324. doi: 10.21152/1750-9548.10.3.303.

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