Effect of Friction Stir Process Parameters on Mechanical Properties of Al/Eggshell/SiC Composite Material
Bibliographic record
Abstract
The rise in pollution is a serious matter of concern for all nations. Industries are mainly responsible for damaging the balance of the cycle of pollution. In this paper, the mechanical properties of Aluminum have been enhanced by reinforcing it with eggshell wastes and SiC as reinforcement particles. Ball-milling technique has been applied for up to 75 hours for making the densities of Aluminum, Eggshell and SiC equal. The prime focus of this work is to improve the hardness value of Aluminium-based final composite material. Friction Stir Process (FSP) technique has been used to develop the composite and the driving parameters of FSP like rotational speed, transverse speed etc. are optimized with the help of the Box-Behnken Design approach. The optimized value of rotation speed was 966.14 rpm as well as transverse speed was 23.18 mm/min. Hardness and tensile strength of composite developed at an optimum combination of parameters were found to be 72.2 BHN and 194.48 MPa respectively. Results showed that tensile strength and hardness were enhanced by about 44.05% and 64.09% respectively.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| 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".