Effect of ultrasonic vibration treatment on microstructure and dry sliding wear characteristics of LM25 aluminum alloy
Bibliographic record
Abstract
Grain refinement studies on Aluminum alloys with the addition of silicon, and magnesium alloys have fascinated considerable attention in the last five decades. Aluminum alloy properties of castings predominately depend on the grain structure formation that takes place inside the material meanwhile the solidification process . In the current investigation, a device has been designed and established to induce high-frequency ultrasonic vibrations to the molten metal at the time of solidification. This paper outlines Ultrasonic frequencies of varied were 10 to 50 kHz in the step of 10 kHz. The amplitude of the experiment was kept constant at 15 V for the entire findings. From the studies, it is found that the size of the grains has been reduced by 40% from coarse to fine equiaxed grains. Hardness value was noted with increased by 57.5% as well as Wear properties of treated LM25 alloy in dry sliding conditions have substantially improved. Wear studies has been carried out using standard pin on disc machine with various altered speeds. The study aims to validate that there are grain refinement and considerable improvement in the wear-resistant properties of the treated alloy.
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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 | 0.000 | 0.000 |
| Research integrity | 0.000 | 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".