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Record W4293585650 · doi:10.4271/2022-01-1001

Testing of a Modern Wankel Rotary Engine - Part IV: Overall Mechanical and Thermal Balance

2022· article· en· W4293585650 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 International Journal of Advances and Current Practices in Mobility · 2022
Typearticle
Languageen
FieldEngineering
TopicAdvanced Thermodynamic Systems and Engines
Canadian institutionsKootenay Association for Science & Technology
Fundersnot available
KeywordsDynamometerTorqueMechanical engineeringRotary engineWork (physics)Automotive engineeringEngineeringInternal combustion engine coolingCombustionCombustion chamberThermodynamicsChemistry

Abstract

fetched live from OpenAlex

<div class="section abstract"><div class="htmlview paragraph">The present work extends the performance analysis of a rotary Wankel engine for range extender applications already introduced in the companion papers of this series. Specifically, in this work, an overall balance was carried out on mechanical and thermal parameters inferred from the indicated pressure cycles and those measured by the dynamometer and the data acquisition system during steady-state engine testing, highlighting the energy fluxes within the machine. The evaluation of the in-chamber heat transfer coefficient, by means of an adapted Woschni model, and the related heat rejected to the coolant represent the additional and necessary analysis to complete the experimental assessment already presented in the previous papers. The tested engine is the Advanced Innovative Engineering 225CS and the experimental testing was conducted using a combustion analyser specifically developed for rotary machines. The results reported in this work are representative of the performance of current rotary engine technology. The engine was tested in steady-state motored and firing conditions while collecting all the usual engine data. The indicated torque, the net heat release and the rate of heat release were computed from the indicated pressure cycle taking into account the engine geometrical parameters and employing analytical relations and numerical procedures. The indicated torque at different operating points was compared under further simplifying assumptions (friction torque curve measured in motoring condition considered unaltered in firing condition) with the motoring and firing torque measured by the dynamometer while the net heat released was compared with the instantaneous fuel flow rate, the mechanical power delivered and the heat rejected in the coolant. The results show a good balance closure of the aforementioned parameters with a low level of imbalance mainly due to simplifying assumptions and measurement uncertainties, hence validating the methodologies extensively reported in Part II and III of this suite of papers. The data reported here and in the previous works also represent the initial steps in validating CFD models and the optimisation of fuel consumption and emissions for the aforementioned engine to be employed as a range extender in Series Hybrid (or Range-Extended) Electric Vehicles.</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)0.001
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: Empirical
Teacher disagreement score0.445
Threshold uncertainty score0.396

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 communication0.0000.001
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 head0.021
GPT teacher head0.297
Teacher spread0.276 · 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