Control of Exhaust Emissions from Copper Coated Gasohol Run Two Stroke Spark Ignition Engine with Catalytic Converter
Bibliographic record
Abstract
The major pollutants emitted from spark ignition (SI) engine are carbon mono oxide (CO) and un-burnt hydrocarbons (UBHC). If the engine is run with alcohol, aldehydes have to be checked also. These are hazardous and cause health problems to human beings but also have impact on environment. Hence control of these pollutants call for immediate attention. Copper of thickness 300 microns is coated over piston crown, and indie portion of cylinder liner and cylinder head of the spark ignition engine. Investigations have been carried out for controlling pollutants from two strokes, 2.2 kW brake power at the rated speed of 3000 rpm, copper coated spark ignition engine fitted with catalytic converter with different catalysts such as sponge iron and manganese ore run with gasohol (blend of 20% ethanol and 80% gasoline by volume). The influence of parameters of catalytic converter (such as void ratio, mass of catalyst, airflow rate, temperature of injected air) and parameters of engine (such as brake power and equivalence ratio) on these emissions are studied. A microprocessor-based analyzer is used for the measurement of CO/UBHC in the exhaust of the engine. Aldehydes are measured by DNPH (dinitrophenyl hydrazine) method. Catalytic parameters are found to show strong influence on reduction of the pollutants in the exhaust. Copper coated spark ignition engine (CCE) with gasohol operation reduced the exhaust emissions considerably when compared to conventional engine (CE) with pure gasoline operation.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".