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Record W4229828021 · doi:10.1080/01457632.2010.509752

Characteristics of Two-Phase Flows in a Rectangular Microchannel with a T-Junction Type Gas-Liquid Mixer

2010· article· en· W4229828021 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueHeat Transfer Engineering · 2010
Typearticle
Languageen
FieldEngineering
TopicHeat Transfer and Boiling Studies
Canadian institutionsnot available
Fundersnot available
KeywordsMicrochannelHydraulic diameterBubbleMaterials sciencePressure dropMechanicsTwo-phase flowPorosityScalingSuperficial velocitySlug flowFlow (mathematics)Composite materialPhysicsGeometryReynolds number

Abstract

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Abstract In this study, gas–liquid two-phase flows in a horizontal rectangular microchannel have been investigated. The rectangular microchannel has a hydraulic diameter of 0.235 mm, and a width and depth of 0.24 mm and 0.23 mm, respectively. A T-junction-type gas–liquid mixer was used to introduce gas and liquid in the channel. In order to know the effects of liquid properties, distilled water, ethanol, and HFE7200 were used as the test liquids, with nitrogen gas was used as the test gas. The flow pattern, the bubble length, the liquid slug length, and the bubble velocity in two-phase flow were measured with a high-speed video camera, and the void fraction was determined from the bubble velocity data and the superficial gas velocity data. In addition, the pressure drop was also measured with a calibrated differential pressure transducer. The bubble length data were compared with the calculation by the scaling law proposed by Garstecki et al. [7]. The bubble velocity data and/or the void fraction data were well correlated with the well-known drift flux model [12] with a new distribution parameter correlation developed in this study. The frictional pressure drop data were also well correlated with the Lockhart-Martinelli method with a correlation of the two-phase friction multiplier. Acknowledgments The authors would like to express their heartfelt gratitude to Mr. T. Masuda for his assistance in the experiment and manufacturing of apparatus. The present study was partially supported by KAKENHI (19560177). Akimaro Kawahara is an associate professor of mechanical engineering at Kumamoto University, Kumamoto, Japan. He received his master's degree in 1990 and his doctoral degree in 1998 from Kumamoto University. He received the Young Researcher award in 1999 from the Japan Society of Multiphase Flow. He studied at University of Toronto as a fellowship researcher of the Japanese Ministry Education, Culture, Sports, Science, and Technology. His research is concerned with multiphase flow, especially gas–liquid two-phase flow. He has studied subchannel flow in order to get information for improving subchannel analysis code in a BWR fuel rod bundle. Recently, he has studied characteristics of two-phase flow in micro- and small-channels and development of a multifluid mixer that can generate micro-bubbles, or mist. Michio Sadatomi is a professor of mechanical engineering at Kumamoto University. He received his master's degree in engineering at Kumamoto University in 1976 and joined as a research assistant in the same University in the same year. After receiving his doctoral degree in engineering at Kyushu University in 1986, he studied at University of Toronto as an International Fellowship Researcher of the Natural Science and Engineering Council of Canada in 1990–1991. His research interests now are the improvement of subchannel analysis code for predicting thermo-hydraulic behavior of coolant, the industrial applications of the new micro-bubble generator invented by him and the derivation of the correlations of two-phase flow parameters applicable to micro-, mini- and small-diameter channels. Keitaro Nei was a master's student of mechanical system engineering at the Graduate School of Science and Technology, Kumamoto University and received his master's degree in 2009. Currently, he is working on generation of electricity at Kyushu Electric Power Corporation, Shinkokura Power Station, Fukuoka, Japan. Hideki Matsuo is a master's student of mechanical system engineering at the Graduate School of Science and Technology, Kumamoto University.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.103
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.007
GPT teacher head0.212
Teacher spread0.205 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it