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Record W854719013

大气等离子喷涂Al2O3—3%TiO2涂层的性能

2010· article· zh· W854719013 on OpenAlexaboutno aff
邓春明, 周克崧, Min Liu, 邓畅光, 朱晖朝

Bibliographic record

Venue中国表面工程 · 2010
Typearticle
Languagezh
FieldEnvironmental Science
TopicAdvanced oxidation water treatment
Canadian institutionsnot available
Fundersnot available
KeywordsComputer science
DOInot available

Abstract

fetched live from OpenAlex

分别采用大气等离子喷涂APS和带延长Laval喷嘴的大气等离子喷涂制备了Al2O3-3%TiO2涂层,对涂层的相组成、显微结构、结合强度、显微硬度等进行了评价,并和常规大气等离子喷涂氧化铝涂层的性能进行了对比,根据粒子在焰流中的特征对涂层性能差异进行了讨论。结果表明,两种Al2O3—3%TiO2涂层均以卜Al2O3为主,其中还含有少量的α-Al2O3和微晶或非晶。带Laval喷嘴APS所制备涂层的孔隙率、显微硬度和结合强度均明显劣于普通APS涂层,但前者涂层的沉积率达到70%,明显高于后者,大大降低了涂层的生成成本。粒子特征分析表明,延长的Laval喷嘴降低了粒子在等离子焰流中的速度,延长了粒子在焰流中的停留时间,从而使涂层的结合强度和致密度降低,而使涂层沉积率有明显升高。

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 machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.046
Threshold uncertainty score0.091

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0020.003
Scholarly communication0.0050.004
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0030.000

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.

Opus teacher head0.007
GPT teacher head0.233
Teacher spread0.226 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical

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".

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Citations0
Published2010
Admission routes1
Has abstractyes

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