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Record W4200181941 · doi:10.32920/16764586

Design Of New Co-Flow Burner

2021· preprint· en· W4200181941 on OpenAlexaffabout
Pascal Leung

Bibliographic record

Venuenot available
Typepreprint
Languageen
FieldEngineering
TopicCombustion and flame dynamics
Canadian institutionsToronto Metropolitan University
Fundersnot available
KeywordsSootCombustorCombustionLaminar flowChemistryEnvironmental scienceAnalytical Chemistry (journal)Materials sciencePhysicsEnvironmental chemistryMechanicsOrganic chemistry

Abstract

fetched live from OpenAlex

<div>This report documents the design of a colinear flow burner and staging arrangements for the study of soot formations with Ryerson’s clean energy and combustion research group.</div><div><br></div><div>Soot is a common product of combustion. Its pollutant forms of black carbon are significant contributors to radiative forcing and causes negative health effects. Soot within a flame can be located by the luminosity of the flame. The visible yellow, orange and red light released by a flame results from incandescent soot particles. For the purpose of studying soot a burner that provides a controllable nonpremixed laminar flame is required.</div><div><br></div><div>The proposed burner and surrounding set up is designed with as many off the shelf parts as possible limiting the need for custom machining to the burner body. The project consists of designing the burner body, arranging the staging for the burner and tables for the experiment instruments including the soot sensor camera.</div>

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 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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: Simulation or modeling
GenreCandidate signal: Methods · Consensus signal: none
Teacher disagreement score0.560
Threshold uncertainty score0.999

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)0.0020.000

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 head0.027
GPT teacher head0.238
Teacher spread0.211 · 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 teacher head, not a consensus.

Study designSimulation or modeling
Domainnot available
GenreMethods

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

Citations0
Published2021
Admission routes2
Has abstractyes

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