Effect of Uncarbonized Eggshell Weight Percentage on Mechanical Properties of Composite Material Developed by Electromagnetic Stir Casting Technique
Bibliographic record
Abstract
This study deals with the effect of uncarbonized eggshell weight percentage on the tensile strength of AA 2014 composite manufactured by Electromagnetic stir casting technique. Response surface methodology (RSM) is used to design the experiment. The selected process parameters are preheat temperature, stirring current, stirring time, matrix pouring temperature, and reinforcement of uncarbonized eggshell weight percentage. Analysis of variance (ANOVA) is employed to study the influence of selected process parameters. The maximum tensile strength of 287.194 MPa was achieved for reinforcement preheat temperature 537.87 C, stirring current 12 A, stirring time 179.9 sec, matrix pouring temperature 726.8 C, and reinforcement weight percentage of 12.46. At optimum level of process parameter confirmation tests are performed to validate the result. In confirmation test, tensile strength and hardness are investigated. It is observed that due to the reinforcement of uncarbonized eggshell in AA2014 aluminium alloy, tensile strength and hardness are improved by 55.24 % and 39.58 %.
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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) | 0.001 | 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".