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Record W2372966763

Temperature Measurement for Particle Laden Stream by FTIR Emission/Transmission Spectroscopy

2003· article· en· W2372966763 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.

Bibliographic record

VenueRanshao kexue yu jishu · 2003
Typearticle
Languageen
FieldEngineering
TopicCoal Combustion and Slurry Processing
Canadian institutionsCAE (Canada)
Fundersnot available
KeywordsSootParticle (ecology)CombustionAnalytical Chemistry (journal)TransmittanceCharRadianceMaterials scienceParticle sizeSpectrometerAttenuationChemistryOpticsPhysics
DOInot available

Abstract

fetched live from OpenAlex

Emission and transmission spectra for clay particle laden stream and pulverized coal flame were performed by using a FTIR spectrometer and a heating/combustion reactor. The particle temperature and gas temperature can be obtained through these spectra and they have relative errors of less than 500. When soot and other particles exist in the sample, a method was given to eliminate the effect of soot radiation and approximately estimate the temperature of other particles. Namely, the particle transmittance is assumed to be equal to the measured transmittance extrapolated to 0 cm-1, where the attenuation from soot goes to zero. Study shows that CO2 temperature can be roughly evaluate by fitting a blackbody to the CO2 amplitude in the normalized radiance. It was also found in the present study that the char temperature can be 200~300 K higher than the gas temperature, and the reason is possibly that CO is ignited in the particle boundary layer and causes an abrupt rise of particle temperature. More experimental and theoretical validations are needed for this phenomenon in the future study.

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 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 score0.231
Threshold uncertainty score0.907

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 head0.015
GPT teacher head0.228
Teacher spread0.213 · 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