Programmable Diesel Injector Transducer Test Results
Bibliographic record
Abstract
In order to approach the Carnot efficiency in modern diesel engines that see variable loads and high speeds, programmable electrically controlled fuel injections are required. Traditional solenoid based transducers are binary and cannot achieve this programmability while newer piezoelectric transducers are susceptible to performance degradation due to high pressures and temperatures. This paper presents the experimental characterization of a programmable diesel fuel injector transducer designed by Great Plains Diesel Technologies, L.C. to address the limitations of existing technology. This transducer employs a little-known magnetostrictive alloy to position its needle. In contrast to piezoelectric ceramics, quantum mechanics endows this alloy with the indestructible property of magnetostriction, the ability to strain proportional to a magnetic field. This allows it to be fast and infinitely adjustable (or, “programmable”) without degradation. A fuel injector based on this alloy has the inherent durability to survive on an engine while maximizing performance. In the tested prototype, the magnetostrictive rod is surrounded by a coil excited by a current pulse to energize the alloy. The prestress needed to achieve maximum performance is provided by the pressurized diesel fuel. This paper presents the results of a series of tests run to determine the effect of the amplitude of the excitation current and the prestress provided by the pressurized fuel, and to characterize the amplitude and speed of the transducer output displacement and its proportionality.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.012 | 0.003 |
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".