OPTIMIZATION OF INFLUENTIAL PROCESS PARAMETERS ON THE DEEP DRAWING OF ALUMINIUM 6061 SHEET USING TAGUCHI AND FINITE ELEMENT METHOD
Bibliographic record
Abstract
The plastic deformation behavior of axis symmetric aluminium 6061 cups was determined by analyzing the four important deep drawing process parameters, namely blank temperature, die edge radius, blank holder force and friction coefficient. Taguchi techniques along with finite element method (FEM) were used to determine the importance of process parameters. The Taguchi method was used to analyze the influence of each process parameter. From the deformation result and analysis of variance (ANOVA), it was determined that the temperature of the blank has a major influence on the deformation characteristic of aluminium 6061 sheets followed by die edge radius, coefficient of friction, and blank holder force. The optimum levels of the four factors in determining the deformed cup heights are found to be blank temperature of 450°C, die edge radius of 14 mm, coefficient of friction of 0.60 and blank holder force of 9 KN.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 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 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".