Evaluation of Bond Strength and Flash Mass on Friction Surfaced Deposition of Aluminium 6063 over IS 2062 Low Carbon Steel Using Different Mechtrode Face
Bibliographic record
Abstract
The present experimental work focused for evaluating the bond strength and flash mass on deposition of Aluminum 6063 over IS 2062 low carbon steel by friction surfacing using different design of mechtrode face.Five design of mechtrode were chosen, named as MF1, MF2, MF3, MF4 and MF5 for carrying out the friction surfacing with different parametric combinations.Study had shown that the amount of flash mass produced by mechtrode was increased by increasing the mechtrode face contact area.Low flash mass (about 28% of the deposited mass) and high push off strength (79.4 MPa) were noticed in MF5 mechtrode samples.The micro hardness profile at the coating interface highlighted a highest increase of 18.6% hardness at specimen obtained from MF5 mechtrode in comparison with received mechtrode material.The bending test revealed that at high rotational speed (3000 rpm) and high axial force (6 kN) could increase the adhesive bonding at the interface zone.Cross section of coatings obtained from various mechtrode face had shown good bonding adherence quality and high mechanical interlocking which were confirmed by using high amplification FE-SEM images and the absence of aluminium ferrite (AlFe2O4) at deposition interface were authenticated by XRD analysis.
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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 | 0.000 |
| 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) | 0.002 | 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".