Publications by authors named "C Tronche"

Article Synopsis
  • The paper presents a compact and cost-effective interferometric sensor that utilizes the self-mixing effect in laser cavities to characterize shock waves.
  • The sensor measures changes in refractive index caused by shock waves and operates using a self-mixing interferometry scheme.
  • The authors detail the sensor's design, the experimental setup involving a shock tube, and present measurements of shock wave pressure amplitude at 5 bar, interpreting the results in relation to existing acousto-optics models.
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At the micrometric scale, vessels or skin capillaries network architecture can provide useful information for human health management. In this paper, from simulation to in vitro, we investigate some limits and interests of optical feedback interferometry (OFI) for blood flow imaging of skin vascularization. In order to analyze the tissue scattering effect on OFI performances, a series of skin-tissue simulating optical phantoms have been designed, fabricated and characterized.

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It is established in the optical feedback interferometry (OFI) theory that the shape of the interferometric fringe has an impact on the detector's response to very small displacement measurements. In this paper, we validate-for the first time, to the best of our knowledge, based on experimental results-this statement by comparing experiments to an established model implementation. Through these experiments, we show that the amplitude of the signals induced by sub-/2 optical path variations is linearly dependent on the slope of the underlying fringe.

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Optical feedback interferometry (OFI) is a compact sensing technique with recent implementation for flow measurements in microchannels. We propose implementing OFI for the analysis at the microscale of multiphase flows starting with the case of parallel flows of two immiscible fluids. The velocity profiles in each phase were measured and the interface location estimated for several operating conditions.

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Purpose: To use measurement by cycling power meters (Pmes) to evaluate the accuracy of commonly used models for estimating uphill cycling power (Pest). Experiments were designed to explore the influence of wind speed and steepness of climb on accuracy of Pest. The authors hypothesized that the random error in Pest would be largely influenced by the windy conditions, the bias would be diminished in steeper climbs, and windy conditions would induce larger bias in Pest.

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