Recent advances in additive manufacturing of refractory high entropy alloys (RHEAs): A critical review
Bibliographic record
Abstract
Refractory High Entropy alloys (RHEAs) have evolved as a superior multicomponent material having a unique combination of microstructures and mechanical properties. RHEAs are a particular grade of high entropy alloys (HEAs) known for their outstanding high-temperature properties achieved thorough their constituent refractory elements. To date, majority of the RHEAs have been manufactured through several conventional methods, but are limited by certain limitations. Additive manufacturing (AM) has the potential to revolutionize the manufacturing industry by providing excellent opportunities to fabricate RHEAs while providing opportunities for enhancing the design freedom and complex geometrical shapes. As the field is rapidly evolving, a systematic examination of our comprehension is beneficial, and this article attempts to address this issue. To find the right place in industrial markets, additively manufactured RHEAs require further advancements. The present review provides a comprehensive overview of the additively manufactured RHEAs in terms of microstructural characterization, mechanical behaviour and other environmental properties published so far. This review article is presented lucidly with an aim of better understanding for the readers in this domain. To this end, future works and current challenges are also included and discussed briefly.
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 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.005 | 0.001 |
| 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 | 0.001 |
| 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".