Determination of the Deformation State of a Ti-6Al-4V Alloy Subjected to Orthogonal Cutting Using Experimental and Numerical Methods
Bibliographic record
Abstract
Orthogonal cutting of Ti-6Al-4V alloy was studied. Surface roughness, chip thickness and shear band frequency increased with the feed rate and cutting speed. Serrated chips were formed due to shear band. Strain and flow stress distributions in the material ahead of the tool tip were estimated from shear angle measurements and microhardness measurements respectively. The stress-strain data obtained in this way was used in numerical models. Two numerical models were developed by using two-dimensional Lagrangian element formulation and Smoothed-particle hydrodynamics formulations employing the Johnson-Cook constitutive relationship that utilised the experimental data generated from the machined material with the damage criteria. The Lagrangian element formulation predicted the strain and temperature generated in the material ahead of the tool tip as 1.65 and 1222 K respectively, which were in agreement with the experimental strain (1.65) and temperature (1217 K). The predicted results using Lagrangian element formulation correlated well with the experimental findings.
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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 | 0.001 |
| 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".