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Simulation of change in rheological properties of structure of combined materials in tribosystem

2021· article· en· W3125620887 on OpenAlex
Антон Войтов, K Fenenko, O Fenenko

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

VenueIOP Conference Series Materials Science and Engineering · 2021
Typearticle
Languageen
FieldEngineering
TopicTribology and Wear Analysis
Canadian institutionsTransport Canada
Fundersnot available
KeywordsRheologyMaterials scienceUltrasonic sensorAttenuationThermalLogarithmDeformation (meteorology)VibrationMechanicsComposite materialAcousticsOpticsMathematicsThermodynamicsPhysics

Abstract

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Abstract The paper presents experimental and theoretical dependences of changes in the rheological properties of the structure of materials of the surface layers of triboelements in the tribosystem during running-in, the methodical approach to definition of such properties with use of transverse ultrasonic waves is substantiated. It has been experimentally established, that the logarithmic decrement of the attenuation of ultrasonic vibrations in the structure of the material of the surface layer during the period of running-in increases by 32 to 45 % from the initial structure. A parameter for estimating the rheological properties of the structure of conjugate materials in the tribosystem as a function of time is proposed. This is a physical quantity that characterizes the ability of the materials included in the design of the tribosystem, irreversibly convert mechanical energy into thermal energy in the process of deformation of surface layers. Determined by ultrasonic vibrations passing through the material and reduced to a distance of one meter, the dimension 1/m.

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: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.026
Threshold uncertainty score0.363

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 head0.033
GPT teacher head0.225
Teacher spread0.193 · 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