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Journal of Flow Visualization and Image Processing

Publication de 4  numéros par an

ISSN Imprimer: 1065-3090

ISSN En ligne: 1940-4336

The Impact Factor measures the average number of citations received in a particular year by papers published in the journal during the two preceding years. 2017 Journal Citation Reports (Clarivate Analytics, 2018) IF: 0.6 The Immediacy Index is the average number of times an article is cited in the year it is published. The journal Immediacy Index indicates how quickly articles in a journal are cited. Immediacy Index: 0.6 The Eigenfactor score, developed by Jevin West and Carl Bergstrom at the University of Washington, is a rating of the total importance of a scientific journal. Journals are rated according to the number of incoming citations, with citations from highly ranked journals weighted to make a larger contribution to the eigenfactor than those from poorly ranked journals. Eigenfactor: 0.00013 The Journal Citation Indicator (JCI) is a single measurement of the field-normalized citation impact of journals in the Web of Science Core Collection across disciplines. The key words here are that the metric is normalized and cross-disciplinary. JCI: 0.14 SJR: 0.201 SNIP: 0.313 CiteScore™:: 1.2 H-Index: 13

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SIMULATION AND VISUALIZATION OF FLOCK PARTICLES ON A GLOVE SURFACE IN A TWO-PHASE FLOW

Volume 17, Numéro 4, 2010, pp. 347-358
DOI: 10.1615/JFlowVisImageProc.v17.i4.60
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RÉSUMÉ

The flocking process is an important process in latex glove industry and has complicated the two-phase flow phenomenon. At present, waste from this process is about 35%. This paper presents a numerical study of flock particle flow inside the flock cabinet using commercial software of Computational Fluid Dynamics (CFD). Thirteen flocking process models were simulated. Flow inside a flock cabinet was modeled in the three-dimensional domain. The standard k-ε model with standard wall functions was solved for the continuous phase while the discrete phase was modeled based on the Lagrange approach and stochastic tracking with Discrete Random Walk (DRW). Volume fraction of flock was set to be less than 10% and the effect of particle interaction on the particle trajectory was neglected. The drag and gravity forces were accounted in the equation of motion for particles. The experiment was performed to validate the simulation results. In the experiment, a flock cabinet was built from 8-mm-thick, 1074.5-mm-wide, and 833.5-mm-long Perspex sheet with a height of 1180 mm. The inlet hydraulic diameter was 0.5081 m. The uniform flock with an equivalence diameter of 50 μm was injected into the cabinet at the rate of 0.01 kg/s. Velocity, pressure, trajectory, and accretion of flock particles were measured. From the results obtained, it was found that the experimental results agreed well with those from simulation. The implement of a numerical method found that the damper position and angle adjustment can therefore be used to improve the efficiency of the flocking process. Installing the damper at −40° and placing it at bottom positions have increased flock particle accretion on the glove surface by 15%. Besides, it can reduce flock waste up to 29% of the present process.

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