Study of parametric effect on laser directed energy deposited Austenitic steel and Inconel functionally graded material
Bibliographic record
Abstract
In this paper, the effect of process parameter on functionally graded materials (FGMs) of Inconel 625 (IN625) and Austenitic steel (SS304L) deposited by laser directed energy deposition (LDED) are investigated. For this purpose, FGM walls of different gradient of mix of IN625 and SS304L at different layers are deposited on Austenitic steel (SS316L) substrate at different sets of process parameters. For this study, the process parameters considered are laser power ( P L ): 1000, 1300 and 1600 W, and scanning speed ( v): 0.3, 0.5 and 0.7 m/min. Deposited samples are then subjected to different tests such as energy dispersive spectroscopy (EDS), microhardness, scanning electron microscopy (SEM), X-ray diffraction (XRD), optical microscopy (OM), and nanoindentation. Tests performed on the samples revealed different effects of parameters on the deposition of the FGM wall. Based on the comparison of results of mechanical and metallurgical tests, it is observed that either at P L = 1300 W and/or v = 0.5 m/min, among the considered process parameters, show comparatively better results than the others.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 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".