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In JoVE (1)
Other Publications (1)
Articles by Ulas Ayaz in JoVE
Development of Whispering Gallery Mode Polymeric Micro-optical Electric Field Sensors
Tindaro Ioppolo1, Volkan Ötügen1, Ulas Ayaz1
1Mechanical Engineering Department, Southern Methodist University
A high-sensitivity photonic micro sensor was developed for electric field detection. The sensor exploits the optical modes of a dielectric sphere. Changes in the external electric field perturb the sphere morphology leading to shifts in its optical modes. The electric field strength is measured by monitoring these optical shifts.
Published January 29, 2013. Keywords: Mechanical Engineering, Physics, Optics, Materials Science, Chemical Engineering, electrostatics, optical fibers, optical materials, optical waveguides, optics, optoelectronics, photonics, geometrical optics, sensors, electric field, dielectric resonators, micro-spheres, whispering gallery mode, morphology dependent resonance, PDMS
Other articles by Ulas Ayaz on PubMed
Optics Express. Sep, 2009 | Pubmed ID: 19770862
In this paper we investigate the electrostriction effect on the whispering gallery modes (WGM) of polymeric microspheres and the feasibility of a WGM-based microsensor for electric field measurement. The electrostriction is the elastic deformation (strain) of a dielectric material under the force exerted by an electrostatic field. The deformation is accompanied by mechanical stress which perturbs the refractive index distribution in the sphere. Both strain and stress induce a shift in the WGM of the microsphere. In the present, we develop analytical expressions for the WGM shift due to electrostriction for solid and thin-walled hollow microspheres. Our analysis indicates that detection of electric fields as small as ~500V/m may be possible using water filled, hollow solid polydimethylsiloxane (PDMS) microspheres. The electric field sensitivities for solid spheres, on the other hand, are significantly smaller. Results of experiments carried out using solid PDMS spheres agree well with the analytical prediction.