Study on the Tribological Characteristics of Surface Triangular Textured Tc4 Alloy Prepared by Slm Technologybeichao Wei A,B, Wengang Chena,B, Siliang Guo A,B, Jiahao Cheng A,B , Haoen Yuan A,B, Yihao Zhou A,B, Hai Luo A,B, Dongyang Lib,Ca College of Mechanical and Transportation, Southwest Forestry University, Kunming, 650224, Chinab Dongyang Li Academician Workstation, Kunming, Yunnan 650224, Chinac Department of Chemical and Materials Engineering, University of Alberta, T6g 2h5, Canada Abstract：Surface Triangular Textured Tc4 Alloy Specimens Were Prepared by 3d Printing Technology (Slm Technology: Selective Laser Fusion). Effects of Wedge-Shaped Triangular Textures with Different Texture Area Occupancy on Hardness, Friction and Wear of the 3d Printed Tc4 Alloy Specimens Were Studied, in Comparison with Non- Textured Specimens. Sft -2m Pin-Disc Friction and Wear Testing
Bibliographic record
Abstract
No abstract. This is not a gap in this database; OpenAlex has none either. 23.3% of the frame is in this state, and the screen finds HALF as much metaresearch here, so the absence is a measured bias rather than a missing field.
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) | 0.001 | 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".