Preparation of magnetostrictive composites using ultrasonic and their properties
Bibliographic record
Abstract
Polymer-bonded Terfenol-D composites are maily composed of Terfenol-D particles and polymer ma- trix,uniformity of Terfenol-D particles and boundary condition of interface between the particles and matrix are two important factors which influence their performance.Due to bad infiltration between particle and matrix, the polymer-bonded Terfenol-D composites made by mechanical dispersion method are universally possessing de- fects of non-homogeneous particles distribution and worse interface between particles and matrix.Using ultra- sonic instead of mechanical dispersion is a potential way to solve those problems because of the cooperative effects of acoustic cavitation and high speed acoustic stream in liquid resins.In this paper,two epoxy-bonded Terfenol-D composites with 50% particle volume fraction were fabricated by mechanical dispersion and ultrason- ic dispersion methods,respectively.The results obtained by microstructure analysis revealed that the compos- ites prepared by ultrasonic have compact structure and homogeneous distribution of particles.Furthermore,the examination of mechanical properties and magentostrictive properties indicated that using ultrasonic dispersion method can improve both the elastieity module and magnetostrietion of magnetostrictive composites.
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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".