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Record W2256081936 · doi:10.4271/2016-28-0107

Piston Bowl Optimization for Single Cylinder Diesel Engine Using CFD

2016· article· en· W2256081936 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

VenueSAE technical papers on CD-ROM/SAE technical paper series · 2016
Typearticle
Languageen
FieldChemical Engineering
TopicAdvanced Combustion Engine Technologies
Canadian institutionsMount Allison University
Fundersnot available
KeywordsPiston (optics)Computational fluid dynamicsCylinderAutomotive engineeringDiesel engineComputer scienceMechanical engineeringDiesel fuelMarine engineeringEngineeringAerospace engineeringPhysicsOptics

Abstract

fetched live from OpenAlex

<div class="section abstract"><div class="htmlview paragraph">Automotive Diesel engines delivers more energy than gasoline because it burns the fuel more efficiently by compression process. Diesel engine piston plays an important role in delivering more power with the same volume of air-fuel mixture. To achieve this we need to have a better swirl (rotation of air inside the cylinder along the cylinder axis) to ignite the fuel by proper air-fuel ratio. In this project we target to improve the swirl motion for the proper mixing of fuel and air inside the combustion chamber by making tangential groves on the piston bowl. Different bowl designs are targeted to compare and analyse the effects of piston bowl by using CFD code (Commercial CFD code for engine specific).The intake port, combustion chamber roof, cylinder liner, piston bowl, intake valves and exhaust vales are considered for the 3D CFD modelling. The in-cylinder flow are measured numerically on different planes at various crank angles to see the effect of air motion caused by the tangential swirl groves created on the piston bowl. Different types of piston bowls by varying the number of groves, increasing the width of the groves are studied numerically and compared to identify the better swirl generating piston bowl.</div></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.

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)0.003
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.752
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.003
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.001
Science and technology studies0.0000.001
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0010.001
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 head0.021
GPT teacher head0.256
Teacher spread0.235 · 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