Experimental Study on Peak-Pressure Variation Due to Compression by Using RCM
Bibliographic record
Abstract
RCM(Rapid Compression Machine)은 엔진 내부의 복잡한 연소현상을 연구하는 데 적합한 장치이다. 엔진의 연구를 위해서는 내부의 최대압력을 측정하는 것이 중요하다. 그 이유는 최대압력이 내부 연료의 연소특성에 큰 영향을 끼치기 때문이며, 연소실 내부의 최대온도가 최대 압력에 의해 추정되기 때문이다. 그러나 최대압력은 실린더 벽면과의 열전달로 인해 정량적으로 계산하기 어려우며 보통 실험적인 방법을 통해 측정하고 있다. 본 연구를 통해 RCM의 구동시간에 따른 연소실의 최대압력과의 관계를 실험적으로 확인하고, 실험결과를 바탕으로 최대압력과 구동시간에 관한 일반적인 공식을 도출한다.
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".