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Record W1574797385 · doi:10.5539/mas.v9n7p148

Performance of Appended Wire Mesh Packing in Sieve Tray Distillation Column of Ethanol-Water System

2015· article· en· W1574797385 on OpenAlexvenueno aff
Fadlilatul Taufany, Nonot Soewarno, Melvina Eliana Sutanto, Indi Raisa Girsang

Bibliographic record

VenueModern Applied Science · 2015
Typearticle
Languageen
FieldEngineering
TopicProcess Optimization and Integration
Canadian institutionsnot available
FundersDirektorat Jenderal Pendidikan TinggiInstitut Teknologi Sepuluh Nopember
KeywordsTrayDistillationSieve (category theory)Materials scienceChromatographyPressure dropFractionating columnComposite materialChemical engineeringChemistryMathematicsMechanical engineeringMechanicsPhysicsEngineering

Abstract

fetched live from OpenAlex

For the separation process in liquid-liquid mixture such as ethanol-water mixture, a sieve tray distillation columnis an alternatif for affordable process and maintenance. However to date, this sieve tray system is still currentlyhaving a lower Murphee efficiency and smaller interfacial area, as compared to other tray system, that is, either abubble cap or valve tray. Therefore it is of important to optimize the performance of sieve tray distillation bymeans of adding the wire mesh packing on that tray, as being the aim of the present study. This study isconducted by using a batch sieve tray distillation system, where the wire mesh packing is added on the third traythat is calculated from the top of the column, to avoid flooding inside the column. Here the resulting fermentedmolasses of containing a 10% volume of ethanol is used as a mixture distillation feed. The height of the wiremesh packing being studied is varied as 5 cm, 3 cm, and 2 cm. Our results showed that the Murphee efficiencyobtained by the variation of the packing height of 5 cm, 3 cm, 2 cm and without packing were 73.5%, 66.27%,56.86%, and 46.7% respectively, and were increased by subsequent level of the packing height. Thecorresponding hydrodynamic properties of this appended packing sieve tray distillation by means of theinterfacial area were 11.88 cm2/cm3, 0.48 cm2/cm3, and 0.32 cm2/cm3, while its pressure drop measured from thewater manometer height were 38.33 cm H2O/m, 30 cm H2O/m, 10 cm H2O/m for the packing height of 5 cm, 3cm, 2 cm height, respectively. The increasing of the performance of appended packing sieve tray distillation bymeans of the Murphee efficiency is explained by the increasing of the interfacial area for vapour-liquid than thetray itself. This preliminary study is expected to be a pioneer study of strategy to increase the performance ofconventional sieve tray distillation that is known as a kind of affordable distillation process.

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.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
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 score0.004
Threshold uncertainty score0.008

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0010.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.001

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 head0.016
GPT teacher head0.209
Teacher spread0.193 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations3
Published2015
Admission routes1
Has abstractyes

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