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Record W2032243621 · doi:10.4271/2011-01-0642

The Secondary Organic Carbon (SOC) Formation from a CRDI Automotive Diesel Engine Exhaust

2011· article· en· W2032243621 on OpenAlexfundno aff
Tarun Gupta, Neelabh Dixit, Avinash Kumar Ágarwal, Sudhir Kumar Gupta

Bibliographic record

VenueSAE technical papers on CD-ROM/SAE technical paper series · 2011
Typearticle
Languageen
FieldMaterials Science
TopicCatalytic Processes in Materials Science
Canadian institutionsnot available
FundersDepartment of Science and Technology, Ministry of Science and Technology, IndiaInternational Development Research Centre
KeywordsAutomotive engineeringDiesel particulate filterDiesel engineDiesel exhaustAutomotive industryDiesel fuelExhaust gas recirculationEnvironmental scienceInternal combustion engineEngineeringAerospace engineering

Abstract

fetched live from OpenAlex

<div class="section abstract"><div class="htmlview paragraph">Condensed soot coming out of vehicular exhaust is commonly classified as organic carbon (OC) and elemental carbon (EC). OC can be directly emitted to the atmosphere in the particulate form (primary carbon) from the tailpipe or can be produced by gas-to-particle conversion process (secondary organic carbon, SOC). Under typical atmospheric dilution conditions, most of the semi-volatile material is present in the form of soot. SOC holds wider implications in terms of their adverse health and climate impact. Diesel exhaust is environmentally reactive and it has long been understood that the ambient interaction of exhaust hydrocarbons and NO<sub>x</sub> results in the formation of ozone and other potentially toxic secondary organic carbon species.</div><div class="htmlview paragraph">The current emission norms look at the primary emissions from the engine exhaust. Also, research efforts are geared towards controlling the emissions of primary carbon. However the secondary organic carbon produced as a result of gas-to-particle conversion upon mixing of gaseous tailpipe emissions with the ambient air in presence of sunlight is also of significant importance. Therefore evaluation of gaseous emissions from engine exhausts using an artificial photochemical chamber mimicking the atmospheric conditions can serve as an important tool to assess the potential adverse health impact of secondary engine emissions. A modern common rail direct injection engine has been chosen as the emission source for the current investigation using mineral diesel. The main objective of this study was to look at the ratio or percentage change between the primary and secondary tailpipe emissions with focus on SOC using diesel fuel at different engine load conditions using an optimized photochemical chamber. Through these experiments, an attempt has been made to investigate the SOC yield from diesel-fuelled CRDI engine under fairly moderate ageing conditions for different load conditions at rated engine speed. The ageing of exhaust emission was done for RH varying from 40-60% and temperature range of 35-40°C. Primary emissions of OC, EC and PAHs increased in diesel exhaust with increasing engine load. With increase in engine load, rate of primary EC emissions is higher than rate of increase of OC emissions. Particle bound PAHs increases by an order of magnitude after ageing, which indicates that the toxic potential of diesel engine exhaust might increase an order of magnitude even under moderate ageing conditions.</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.

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)0.002
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
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 score0.875
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.002
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0010.003
Scholarly communication0.0000.001
Open science0.0030.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0030.001

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 head0.014
GPT teacher head0.229
Teacher spread0.215 · 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 designBench or experimental
Domainnot available
GenreEmpirical

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

Citations7
Published2011
Admission routes1
Has abstractyes

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