2019
DOI: 10.1039/c8re00208h
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Inflow boundary conditions determine T-mixer efficiency

Abstract: We report on a comprehensive experimental–computational study of a simple T-shaped mixer for Reynolds numbers up to 4000.

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Cited by 43 publications
(47 citation statements)
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“…The sub‐grid mixing scales are thus modeled by numerical diffusion, i.e., without sophisticated models. For details, i.e., on the numerical method, required mesh resolution, governing equations etc., we refer to our recent work, where we demonstrated very good agreement with experiments in the trend of the mixing quality for Reynolds numbers up to Re = 4000 .…”
Section: Methodssupporting
confidence: 82%
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“…The sub‐grid mixing scales are thus modeled by numerical diffusion, i.e., without sophisticated models. For details, i.e., on the numerical method, required mesh resolution, governing equations etc., we refer to our recent work, where we demonstrated very good agreement with experiments in the trend of the mixing quality for Reynolds numbers up to Re = 4000 .…”
Section: Methodssupporting
confidence: 82%
“…a demonstrates that the experimentally obtained median particle size x 50,3 follows the trend of the mixing time t m very closely throughout the investigated Reynolds number regime Re = (100, 4000). In particular, each distinct mixing regime, which was characterized in our recent work , is reflected in the trend of the particle sizes. At around Re ≈ 300, the intermediate regime sets in, characterized by an increase of the mixing time, in comparison to the engulfment regime.…”
Section: Resultsmentioning
confidence: 68%
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