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Record W1989350807 · doi:10.5539/mas.v1n4p69

Design of Alternating Impact Machine with High Temperature and Pressure Resistance

2007· article· en· W1989350807 on OpenAlexvenueno aff
Peng Hu, Kaiyue Li, Tao Yang

Bibliographic record

VenueModern Applied Science · 2007
Typearticle
Languageen
FieldEngineering
TopicIndustrial Automation and Control Systems
Canadian institutionsnot available
Fundersnot available
KeywordsSiemensProgrammable logic controllerWork (physics)Temperature controlControl systemComputer scienceMachine controlNatural rubberAutomotive engineeringHydraulic machineryController (irrigation)Mechanical engineeringControl logicMaterials scienceEnvironmental scienceControl engineeringEngineeringComposite materialElectrical engineeringComputer hardware

Abstract

fetched live from OpenAlex

The alternating impact machine with high temperature and pressure resistance is a kind of equipment to make the fatigue experiment for rubber pipe in the auto industry. This article mainly introduces the work principle and the design of hydraulic pressure system and temperature control system of the alternating impact machine. This system uses Siemens S7-200 Programmable Logic Controller (PLC) control the temperature, impact of water or oil pulse and the impact control of test-bed. The master machine is monitored by the King View. The combination of PLC with the soft of King View is propitious to design and examine the PLC control system and possesses good practical value.

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)0.000
metaresearch head score (Gemma)0.000
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: none
Teacher disagreement score0.003
Threshold uncertainty score0.009

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
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 integrity0.0010.000
Insufficient payload (model declined to judge)0.0030.001

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 head0.207
Teacher spread0.200 · 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

Citations0
Published2007
Admission routes1
Has abstractyes

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