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Record W4362497402 · doi:10.56726/irjmets34729

DESIGN AND OPTIMIZATION OF CHARCOAL ECONOMY ENERGY EFFICIENT STOVE

2023· article· en· W4362497402 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

VenueInternational Research Journal of Modernization in Engineering Technology and Science · 2023
Typearticle
Languageen
FieldEngineering
TopicBiodiesel Production and Applications
Canadian institutionsResearch Manitoba
Fundersnot available
KeywordsStoveCharcoalArchitectural engineeringEnvironmental scienceWaste managementBusinessEngineeringMaterials scienceMetallurgy

Abstract

fetched live from OpenAlex

African women are most vulnerable to the health hazards associated with smoking environment created as a result of local heating during cooking.Creating an eco-friendly and convenient atmosphere during cooking provoked research into an existing stove design by the author.This involves making it smokeless by channeling and maximum air volume and flow to the combustion process.The stove comprises two burner liners, air-vent plate, conic shell, cooking pot holder and ash collector and all these components are stainless steel materials.Simple and easy-to -assemble local charcoal economy stove is detailed with CAD/CEA software -Abaqus and a transient thermal analysis conducted with Ansys workbench.Results reveal a maximum total heat flux and directional heat flux of 7.9829E5 and 7.5738E5 for transient thermal analysis.

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: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.878
Threshold uncertainty score0.203

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.001
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 head0.034
GPT teacher head0.296
Teacher spread0.262 · 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