Effect of welding parameters on mechanical and corrosion behavior of Stellite 6 cladded SA387 Gr 91 with ERNiCr-3 buffer layer
Bibliographic record
Abstract
The mechanical, chemical, and corrosion properties of a cladded material strongly depends upon the geometry of the clad beads. Hence, it is essential to learn the impact of process parameters on the weld bead geometry. In this work, the effects of welding speed, welding current, and nozzle-to-plate distance on cladding were investigated in terms of improving the mechanical and corrosion properties. SA387 Gr 91 was cladded with Stellite 6 as cladding material and ERNiCr-3 as a buffer layer by a IRB1520 ID robotic welding machine. The experiments were carried out using three factors with three levels as per the Box–Behnken design technique. A characterization study was made using an optical microscope and scanning electron microscope. The hardness was measured using a Vicker’s hardness tester. An electrochemical corrosion test was conducted to determine the corrosion resistance. The application of ERNiCr-3 reduced the formation of cracks and pores on the surface of the cladded metal. Among the chosen parameters, welding current was the most important parameter controlling the mechanical and corrosion properties. From the results, it is concluded that the combination of ERNiCr-3 and Stellite 6 enhances the corrosion resistance and mechanical properties of SA387 Gr 91 significantly.
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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) | 0.000 | 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".