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Record W311553391 · doi:10.1520/stp17959s

Characterization of the Damping Properties of High-Damping Alloys

2009· book-chapter· en· W311553391 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueASTM International eBooks · 2009
Typebook-chapter
Languageen
FieldEngineering
TopicBrake Systems and Friction Analysis
Canadian institutionsAtomic Energy (Canada)
Fundersnot available
KeywordsDamping capacityMaterials scienceAlloyAmplitudeMagnetic dampingAluminiumCastingThermoelastic dampingMetallurgyManganeseDamping ratioDamping torqueCopperCondensed matter physicsThermodynamicsPhysicsAcousticsVibrationOptics

Abstract

fetched live from OpenAlex

Techniques and strategies to characterize the damping properties of high-damping metals from two of the major classes of damping mechanisms are described. Two types of high-damping metals were chosen for the study: a series of die cast zinc-aluminum alloys that exhibit predominantly amplitude-independent, thermally activated damping mechanisms and a manganese-copper (Mn-Cu)-based alloy casting that exhibits pronounced amplitude-dependent damping together with thermally activated damping. It is shown that the damping behavior of the zinc-aluminum alloys can be described semi-empirically over the ranges of temperature and frequency useful in practical applications. In contrast, a similar description of the damping behavior of the Mn-Cu alloy is not possible because of the change in amplitude-dependent damping with frequency and the variation of damping with microstructural changes from place to place in the casting.

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.

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation 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: Other · Consensus signal: none
Teacher disagreement score0.830
Threshold uncertainty score0.575

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.014
GPT teacher head0.175
Teacher spread0.161 · 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