On the evaluation of ductile behaviour of porous nickel-based superalloys using finite element method
Bibliographic record
Abstract
The present work aims to assess the ductile behaviour of porous Inconel 625 nickel-based superalloys, produced by Metal Injection Moulding (MIM). A qualitative study of the local behaviour was conducted through a series of simple finite element models. Obtained results have been analyzed and compared to more common materials. The following study focuses on the strain localization phenomenon leading to ligament failure between 2 pores relative to their dimensions, their orientation, the distance separating them and the triaxiality ratio. Obtained results demonstrated that the dimensions of the plastic zone in the neighbourhood of pores proportionally increase with pore diameter. Hence, it has been shown that in the case of Inconel 625, the localization was more pronounced between 2 pores whose relative orientation is 0º. Furthermore, it was possible to observe that the critical far-field strain corresponding to the onset of flow localisation between two pores was decreasing as the distance between them was diminishing. By comparing the behaviour of Inconel 625 with that of aluminium 7075-T6, it has been shown that the amplification of the plastic strains was lower in the case of Inconel 625 and consequently the onset of strain localisation (i.e.ligament failure) was found to be delayed in comparison with aluminium. Hence, the high work hardening coefficient of Inconel 625 reduces its sensitivity to the presence of pores. It has thus been shown that Inconel 625 MIM has mechanical properties superior to the equivalent cast material.
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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 | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 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".