A photonic wall pressure sensor for fluid mechanics applications

Manzo, Maurizio; Ioppolo, Tindaro; Ayaz, Ulas; Lapenna, Vincenzo; Otugen, M. V.

doi:10.1063/1.4757569

Cited by 39 publications

(34 citation statements)

References 33 publications

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“…To render a solid microsphere more sensitive to pressure, a membrane mounted on top of the microsphere can be used as a transducer for the pressure. In this case, the WGM shifts in frequency are due to the mechanical perturbation of the optical mode by the membrane [244]. Acoustic pressure pulses have also been monitored by means of the induced changes in the spectrum of optical WGMs in a quasi-cylindrical microresonator [245].…”

Section: Sensingmentioning

confidence: 99%

Whispering gallery mode sensors

2015

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We present a comprehensive overview of sensor technology exploiting optical whispering gallery mode (WGM) resonances. After a short introduction we begin by detailing the fundamental principles and theory of WGMs in optical microcavities and the transduction mechanisms frequently employed for sensing purposes. Key recent theoretical contributions to the modeling and analysis of WGM systems are highlighted. Subsequently we review the state of the art of WGM sensors by outlining efforts made to date to improve current detection limits. Proposals in this vein are numerous and range, for example, from plasmonic enhancements and active cavities to hybrid optomechanical sensors, which are already working in the shot noise limited regime. In parallel to furthering WGM sensitivity, efforts to improve the time resolution are beginning to emerge. We therefore summarize the techniques being pursued in this vein. Ultimately WGM sensors aim for real-world applications, such as measurements of force and temperature, or alternatively gas and biosensing. Each such application is thus reviewed in turn, and important achievements are discussed. Finally, we adopt a more forward-looking perspective and discuss the outlook of WGM sensors within both a physical and biological context and consider how they may yet push the detection envelope further.

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Section: Sensingmentioning

confidence: 99%

Whispering gallery mode sensors

2015

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“…The detection of salient flow features is traditionally addressed through the analysis of velocity fields, obtained from flow visualization, numerical, and analytical methodologies [5], [6], [7], [8], [9], [10]. Specifically, flows are classified by estimating relevant physical parameters [11], [12], [13], through pattern tracking procedures [14], [15] or flow topology analysis [16], [17], [18]. These approaches rely on the availability of computationally expensive measurements to accurately describe the flow field.…”

Section: Introductionmentioning

confidence: 99%

Unraveling Flow Patterns through Nonlinear Manifold Learning

2014

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From climatology to biofluidics, the characterization of complex flows relies on computationally expensive kinematic and kinetic measurements. In addition, such big data are difficult to handle in real time, thereby hampering advancements in the area of flow control and distributed sensing. Here, we propose a novel framework for unsupervised characterization of flow patterns through nonlinear manifold learning. Specifically, we apply the isometric feature mapping (Isomap) to experimental video data of the wake past a circular cylinder from steady to turbulent flows. Without direct velocity measurements, we show that manifold topology is intrinsically related to flow regime and that Isomap global coordinates can unravel salient flow features.

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“…Pressure sensing can be achieved,using, for example, hollow microspheres [45] or, more sensitively, using an external membrane transducer [46]. Sensing of external fields, through effects like electrostriction [47], and their perturbation of the cavity modes, can be carried out with high sensitivity: 900µm PDMS (polydimethylsiloxane) spheres can be used to detect applied fields of less than 10kV/m, with theoretical values for spheres filled with water at around 500V/m.…”

Section: Whispering Gallery Mode Resonators As Sensorsmentioning

confidence: 99%

Droplet lasers: a review of current progress

McGloin

2017

Rep. Prog. Phys.

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Abstract. It is perhaps surprising that something as fragile as a microscopic droplet could possibly form a laser. In this article we will review some of the underpinning physics as to how this might be possible, and then examine the state of the art in the field. The technology to create and manipulate droplets will be examined, as will the different classes of droplet lasers. We discuss the rapidly developing fields of droplet biolasers, liquid crystal laser droplets and explore how droplet lasers could give rise to new bio and chemical sensing and analysis. The challenges that droplet lasers face in becoming robust devices, either as sensors or as photonic components in lab on a chip devices is assessed.

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A photonic wall pressure sensor for fluid mechanics applications

Cited by 39 publications

References 33 publications

Whispering gallery mode sensors

Whispering gallery mode sensors

Unraveling Flow Patterns through Nonlinear Manifold Learning

Droplet lasers: a review of current progress

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