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Record W2801807108 · doi:10.1139/tcsme-2007-0022

EFFECT OF CONTROL SYSTEM DESIGN ON THE FUEL EFFICIENCY OF A FLUIDIZED BED HEAT TREATING FURNACE

2007· article· en· W2801807108 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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
venuePublished in a venue whose home country is Canada.

Bibliographic record

VenueTransactions of the Canadian Society for Mechanical Engineering · 2007
Typearticle
Languageen
FieldEngineering
TopicIron and Steelmaking Processes
Canadian institutionsToronto Metropolitan University
Fundersnot available
KeywordsFluidized bedHeat transferThermal efficiencyAirflowMaterials scienceVolumetric flow rateEnvironmental scienceWork (physics)ThermalNuclear engineeringProcess engineeringWaste managementThermodynamicsCombustionMechanical engineeringEngineeringChemistry

Abstract

fetched live from OpenAlex

Fluidized bed annealing furnaces used for annealing low- and medium-carbon wire products have been used for a number of decades as an environmentally friendly alternative to more traditional heat treating systems based on molten lead. Recent investigations into heat transfer rates to wires immersed in a fluidized bed have shown that the heat transfer rate is relatively constant over a wide range of fluidizing rates, contrary to earlier thinking. As a result, it is possible to modulate air/gas flow rates in these systems without affecting product quality due to variable heat transfer rates. Typically, systems have operated at constant fluidizing air flow rates with either on/off gas control, or modulating gas only, resulting in high effective excess air operation and resulting low thermal efficiency. This work investigates the result of operating a fluidized bed with modulating air/fuel flow rates at fixed air/fuel ratios, resulting in improved thermal efficiency. Results indicate that significant fuel savings can be achieved, particularly at lower load levels.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.949
Threshold uncertainty score0.446

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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 head0.200
Teacher spread0.192 · 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