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variety of diagnostic and measurement techniques (ranging from thermocouples to particle image velocimetry) to map the flow and thermal behaviour. Analysis of these data will further advance current
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have experience in experimental fluid mechanics and aerodynamics, with particular emphasis on the use of Particle Image Velocimetry (PIV) for detailed flow measurements. Experience in aeroacoustics is
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analysis of HV fluid-structure interaction. The PhD student will use digital image correlation (DIC) to capture full-field strain and particle image velocimetry (PIV) to visualize flow dynamics in a
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. The candidate will use novel particle image velocimetry measurements within the first millimeters to centimeters above and below surface waves, to quantify, understand and parametrize wind-wave energy flux
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the German Research Foundation, and is conducted together with partners from the Universities of Hamburg and Bremen, as well as others. The candidate will use novel particle image velocimetry measurements
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pressure waveforms. The PhD student will exploit a combination of digital image correlation (DIC) and particle image velocimetry (PIV) methods to robustly characterise the biomechanical behaviour of the HVs
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Aviation by 2050. This exciting doctoral project, in collaboration with Rolls-Royce, will develop innovative computer vision methods which when combined with optical flow velocimetry will enable imaging
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Anemometry (LDA), and Particle Image Velocimetry (PIV). Extend existing in-house wind field models (based on stochastic differential equations such as Langevin or Fokker-Planck types). Integrate novel
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−3. Acoustic measurements will be made using an azimuthal microphone array. Flow/flame measurements will include time-resolved PIV (particle imaging velocimetry), high-speed schlieren photography and
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scenarios. This PhD position focuses on performing towing tank experiments and high-fidelity flow field measurements using Particle Image Velocimetry (PIV) to validate CFD models. Beyond validation