Fluid Flow Estimation Through Integration of Physical Flow Configurations

Garbe, Christoph S.

doi:10.1007/978-3-540-74936-3_10

Cited by 5 publications

(3 citation statements)

References 19 publications

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“…Unfortunately the coupling is non-trivial. It has previously been 12 solved numerically by assuming an n th order velocity profile [39]. It has also been solved…”

mentioning

confidence: 99%

Through-Thickness Velocity Profile Measurements in an Elastohydrodynamic Contact

2013

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7594 8991This work presents for the first time through-thickness velocity profiles obtained in an EHL contact by photobleached imaging. The velocity profile was inferred by following the evolution of the shape of a photobleached plug formed through the thickness of the fluorescently-doped lubricant, oligomer polybutene (PB), in the contact when shear was applied. The proposed methodology was validated by successfully obtaining the expected linear profile with PB experiencing Couette flow. The methodology was then applied to PB in an EHL contact. The variation of the profiles within the contact area was also investigated.The velocity profile of PB in an EHL contact severely deviates from the common linear assumption and exhibits inhomogeneous shear: three regions of varying shear rate have been observed. The phenomenon is shown to be neither due to thermal nor diffusion effects. PB also shows significant slip at the glass-liquid interface. The amount of slip varies with position in the contact. Possible causes, such as pressure induced viscosity enhancement, as well as the significance of the findings and the benefits of the technique are discussed.The linear velocity profile in an EHL contact is usually assumed for both the film thickness and friction predictions. The profile has however never been measured experimentally until now. This work enables the validation of conventional assumptions and the study of flow heterogeneity of lubricants in a contact. This facilitates an improved understanding of the rheology of confined lubricant and hence more accurate predictions of tribological properties.

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“…Unfortunately the coupling is non-trivial. It has previously been 12 solved numerically by assuming an n th order velocity profile [39]. It has also been solved…”

mentioning

confidence: 99%

Through-Thickness Velocity Profile Measurements in an Elastohydrodynamic Contact

2013

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“…where A is a term independent of the coordinate direction of integration x 3 and time t. Integration across such a profile leads to an intensity change, modeled by the differential equation [9] …”

Section: Integration Across Flow Profilesmentioning

confidence: 99%

Spatiotemporal Image Analysis for Fluid Flow Measurements

Garbe

Kondermann

Jehle

et al. 2009

Notes on Numerical Fluid Mechanics and Multidisciplinary Design

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Abstract. In this chapter, a framework will be presented for measuring and modeling transport processes using novel visualization techniques and extended optical flow techniques for digital image sequence analysis. In this way, parameters besides the 2-D xy velocity components can be extracted concurrently from the acquired 2-D image sequences, such as wall shear rates and momentum transport close to boundaries, diffusion coefficients, and depth z in addition to the z velocity components. Depending on the application, particularly the temporal regularization can be enhanced, leading to stabilization of results and reduction of spatial regularization. This is frequently of high importance for flows close to boundaries. Results from applications will be presented from the fields of environmental and life sciences as well as from engineering.

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Section: Brightness Changes For Fluid Flowsmentioning

confidence: 99%