Solenoid actuator design and modeling with application in engine vibration isolators
Bibliographic record
Abstract
This paper investigates the performance of a modified conventional solenoid valve as a low-cost controllable reciprocating force actuator. The applied modifications include adding a spring for plunger return mechanism, applying a bias current for pre-compression of the spring, and minor machining of the plunger rod. Potentially, this actuator can be employed in many applications, e.g. active noise and vibration control systems. A mathematical model of the actuator is given using the fundamental electromagnetic relationships. This model identifies the transfer function between the applied current and the output force. An experimental analysis in the frequency domain is conducted to obtain the current/force transfer function and validate the mathematical model. It is shown that in the stroke range of interest, the nonlinear analytical model of this actuator can be well estimated by a linear model. To investigate the performance of the actuator in a real application, this actuator is installed and tested in an active engine mount prototype. The analytical model of this engine mount is modified to include the actuator. The simulation result indicates that the stiffness and damping of this mount is tunable by controlling the input current to the actuator. The experimental results are also in close agreement with the simulations.
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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 | 0.001 | 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".