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Record W3012806097 · doi:10.32370/ia_2020_01_7

Computer Implementation of the Dichotomy Algorithm for Transcendent Equations when Determining the Thread Tension

2020· article· en· W3012806097 on OpenAlexvenueno aff
Shcherban, Petko, Makarenko, Kolva, Egorov

Bibliographic record

VenueIntellectual Archive · 2020
Typearticle
Languageen
FieldMaterials Science
TopicTextile materials and evaluations
Canadian institutionsnot available
Fundersnot available
KeywordsThread (computing)CurvatureSurface tensionComputer scienceMechanicsEngineering drawingGeometryMathematicsEngineeringPhysicsOperating systemThermodynamics

Abstract

fetched live from OpenAlex

The studies of the computer implementation of the dichotomy algorithm for determining the thread tension on technological equipment determined the values of the thread tension.It is proved that the number of guides on each specific technological machine, the radius of curvature of each guide, the angle of the thread of the guide, the angle of the radial coverage of the thread, the physic-mechanical and structural characteristics of the thread influence the magnitude of the tension of the threads.The value of the angles of the thread guides and the angles of radial coverage of the thread by the surface of the guide are determined by the geometric parameters and the design of both the filing system on the technological equipment and specific guides.Thanks to this, it became possible at the initial stage of the design of the technological process to determine the tension of the thread in front of the formation zone, depending on the geometric and structural parameters of the equipment and the physico-mechanical and structural characteristics of the thread.The increase in thread tension occurs due to friction in the contact area with the guides.The magnitude of the friction forces depends on the material of the thread and the guide, the ratio of their geometric dimensions (the radius of the cross section of the thread and the radius of curvature of the guide in the contact zone), the actual angle of the thread of the guide and the angle of the radial coverage of the thread on the surface of the guide, the physicomechanical and structural characteristics of the thread, tension threads in front of the guide.Sequential passage of the thread along the guides, from the entrance zone to the zone of fabric formation and knitwear, leads to a stepwise increase in tension.In this case, the output tension parameter after the previous guide will be an input parameter for the subsequent guide, which allows the use of recursion in determining the tension in front of the formation zone.

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)0.008
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: none
GenreCandidate signal: Methods · Consensus signal: Methods
Teacher disagreement score0.010
Threshold uncertainty score0.035

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.008
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0010.002
Open science0.0010.001
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0100.003

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 head0.064
GPT teacher head0.310
Teacher spread0.246 · 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 designSimulation or modeling
Domainnot available
GenreMethods

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

Citations0
Published2020
Admission routes1
Has abstractyes

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