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Mixing of miscible shear-thinning fluids in a lid-driven cavity

Chinese Journal of Chemical Engineering 2023年第6期58卷 112-123页

作者： Junhao Wang Shugang Ma Peng Chen Zhipeng Li Zhengming Gao J.J.Derksen Beijing Advanced Innovation Center for Soft Matter Science and Engineering Beijing University of Chemical TechnologyBeijing 100029China State Key Laboratory of Chemical Resource Engineering School of Chemical EngineeringBeijing University of Chemical TechnologyBeijing 100029China PetroChina Petrochemical Research Institute Beijing 102206China School of Engineering University of AberdeenAberdeen AB243UEUK

The concentration and velocity fields of two refractive index matched miscible shear-thinning fluids in a lid-driven cavity were investigated by using planar laser-induced fluorescence and particle image velocimetry,as well by computational fluid *** analyses show that the results obtained by flow simulations with the species transport model are in good agreement with the experimental *** effects of different parameters were studied by using the intensity of *** two fluids with the same rheological parameters,the relative amounts of liquids H_(1)/H and the power-law index n dominate the mixing process while the Reynolds number Re plays a marginal *** for two fluids with density difference,buoyancy has significant influence on the mixing *** dimensionless group Ar/Re(redefined such as to include shear thinning behavior)is proposed for assessing the effect of buoyancy and rheological properties on the mixing of miscible shear-thinning fluids.

关键词： Shear-thinning fluid Mixing of miscible fluids Particle image velocimetry planar laser-induced fluorescence Species transport model Lid-driven cavity

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Temporally resolving premixed turbulent flame structures using self-supervised adversarial reconstruction of CH-PLIF

能源与人工智能(英文)

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能源与人工智能(英文) 2023年第1期11卷 51-62页

作者： Ji-Hun Oh Aaron W.Skiba Stephen D.Hammack Constandinos M.Mitsingas Campbell D.Carter Tonghun Lee Department of Mechanical Science and Engineering University of Illinois at Urbana-ChampaignIL61801United States U.S.Air Force Research Laboratory Wright-Patterson Air Force BaseOH45433United States Army Research Lab Aberdeen Proving GroundMD21005United States

Understanding the turbulence-flame interaction is crucial to model the low-emission combustors developed for energy and propulsion applications. To this end, a novel frame interpolation (FI) method is proposed to better resolve the spatiotemporal evolution of premixed turbulent flame structures. The framework is completely selfsupervised, agnostic to optical flow, and driven by leveraging transferrable feature knowledge at lower speeds and adversarial learning to statistically map the flame dynamics across frames. The method is successfully applied on a 10 kHz CH planar laser-induced fluorescence (PLIF) dataset of highly wrinkled premixed flames with turbulent Reynolds numbers (ReT ) of 1100, 1400, and 7900, by down-sampling the image sequence to 5 kHz and restoring the sequence back to 10 kHz via FI. All reconstructions recovered important flame events and displayed excellent resemblance of the corrugated CH-layer geometries to that of the ground truths, with average intersection over union (IoU) and structural similarity index (SSIM) scores of 0.49 and 0.82, which are above the high-similarity baselines of 0.36 and 0.75, respectively. The wrinkling parameters (WP) of the flames also matched the ground truths, wherein R2 was roughly 0.95 for ReT = 1100 and 1400 and 0.85 for ReT = 7900 (lower due to the turbulence-induced uncertainties). The FI is further iteratively repeated to 40 kHz on the ReT = 7900 flames to facilitate pocket analysis by confidently linking their origin of formation, thus, enabling distinction from 3D tunnels, and improving statistical characterization of their consumption speeds. Given that the object features do not exhibit highly turbulent motions with regard to the initial time step, the proposed FI method is shown to be highly accurate and useful to analyzing finite-resolution experimental image sets including, but not restricted to, CH-PLIF.

关键词： Self-supervised frame interpolation Premixed turbulent flames planar laser-induced fluorescence Generative adversarial networks Pocket behavior

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