Dynamic Behaviour of Oscillating Bubbles inside a Nonlinear Thixotropic Fluid in Existence of Magnetic Field
Bibliographic record
Abstract
Bubbles inside fluids respond to acoustically imposed pressure forces and reveal their full potential when periodically driven by sound waves. These bubbles oscillations could not be easily captured experimentally especially for high frequency excitations. The effect of an imposed magnetic field on nonlinear oscillations of acoustically forced spherical gas bubbles in a time-dependant viscosity fluid (thixotropic fluid) is investigated in this paper. These behaviours are of great interest as the bubbles should adapt their dynamical properties with a shear thinning surrounded medium with some lag time of reaction in addition to nonlinearities being imported due to the magnetic field force on the bubbles. For this study the basic governing equations of the bubbles oscillations has been modified to add the magnetic body force effects. The Moore's model is also used to model the Thixotropic properties of the medium and various structural parameters were considered to understand the dynamic behaviour of the bubbles. By using the RK4 method for numerical solution of the set of defined governing equations, the combined effects of structure build-up, structure break-down and magnetic field on bubble radius variations are investigated. The results show that both the gas bubbles oscillation in thixotropic fluids and structural changes (viscosity changes) of these kinds of fluids could be effectively controlled by external magnetic fields. The relevance and importance of these bubble dynamics to biomedical ultrasound applications and light emissions by sonoluminescen and many other cement paste industries and etc. could be obviously addressed as the possible applications of this study.
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".