Performance and emissions of a diesel engine using Al–Fe–Mg–Si pistons contain up to 15.7% volume fractions of Fe-rich intermetallic compounds
Bibliographic record
Abstract
Engine performance and emission characteristics were investigated using a single cylinder four-stroke diesel engine with different concentrated intermetallic-based Al–Fe–Mg–Si pistons. Three different alloy combinations (types A, B, and C) of Al–Fe–Mg–Si pistons were developed through the incremental alloying addition of Fe, Mg, Mn, Cu, and Ni. Piston types A, B, and C had Fe-rich intermetallic compounds (IMC), where types B and C had a higher density IMC distribution than type A. The influence of Fe, Mg, Mn, Cu, and Ni alloyed IMC pistons on engine performance and emissions was investigated at various loading conditions. Combustion characteristics such as cylinder pressure and net heat release rate for all piston types were investigated and compared. A similar duration of ignition was seen for all piston types. Frictional loss was reduced by ∼25% in types B and C in comparison to type A. Similarly, mechanical and thermal efficiency were enhanced considerably in types B and C compared to type A. Emission characteristics were also investigated for all piston types. Results showed that NO x was reduced by ∼17.3% with the use of types B and C.
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 imitationNot 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.
Codex and Gemma teacher scores by category
| 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 | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".