The Effect of Grain Orientation on Micro Frictional of Medium Carbon Steel
Bibliographic record
Abstract
The mechanical processing of metals results often in development of preferred orientation of grains or texture. On the other hand, the orientations of grains have a significant effect on the friction and wear behaviour of materials in contact. The objective of this investigation was to determine the crystallographic anisotropy of the coefficient of friction. Medium carbon steel AISI 1045 were selected as the substrate material. Automated orientation imaging analysis system (OIM) was used to identify orientations of grains in polycrystalline specimens. Micro-friction tests were carried out using a Tribocope, a combination of nano-mechanical probe and atomic force microscope with an electrochemical cell. The micro friction tests were performed along different crystallographic directions inside different grains.The obtained results have shown that the coefficient of friction for individual grains depends on crystallographic orientation, and that the coefficient of friction for higher atomic density planes is lower than that for lower atomic density planes.
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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 | 0.000 |
| 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".