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Record W2056854062 · doi:10.1109/ultsym.2007.243

10F-5 Integrated Ultrasonic Transducers above 500°C

2007· article· en· W2056854062 on OpenAlexaff
Makiko Kobayashi, C. K. Jen, H. Nagata, Yuji Hiruma, T. Tokutsu, T. Takenaka

Bibliographic record

VenueProceedings/Proceedings - IEEE Ultrasonics Symposium · 2007
Typearticle
Languageen
FieldEngineering
TopicUltrasonics and Acoustic Wave Propagation
Canadian institutionsNational Research Council Canada
Fundersnot available
KeywordsMaterials scienceLead zirconate titanateBismuth titanatePiezoelectricityBismuthUltrasonic sensorTitanateFerroelectricityLithium niobateTitaniumComposite materialTransducerCeramicLead titanateOptoelectronicsMetallurgyAcousticsDielectric

Abstract

fetched live from OpenAlex

New piezoelectric composite materials, manganese doped sodium bismuth titanate (NBT+Mn)/lead zirconate titanate (PZT) and lithium niobate (LN)/PZT have been developed for ultrasonic transducer trials at operation temperature more than 500degC. Three kinds of piezoelectric powders, bismuth titanate (BIT), NBT+Mn, and LN, were dispersed into PZT sol-gel, and ~60 mum thick BIT/PZT, NBT+Mn/PZT, and LN/PZT films were deposited onto 26 mm thick titanium (Ti) substrates by sol-gel spray technique, respectively. Reflection echoes from Ti substrates were observed for each sample at various temperatures, from room temperature to above 500degC, and the signal amplitude change was monitored. LN/PZT films demonstrated the highest temperature stability among three materials. Using LN/PZT, broadband ultrasonic signals centered at 5.0 MHz with 25 dB signal to noise ratio were recorded at 700degC without depoling.

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: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.015
Threshold uncertainty score0.051

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0010.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0150.003

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 head0.009
GPT teacher head0.212
Teacher spread0.203 · 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".

Quick stats

Citations8
Published2007
Admission routes1
Has abstractyes

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