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Record W2374260110

Computer-Aided Force Balancing of Mechanism

2010· article· en· W2374260110 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

VenueMachine Design and Research · 2010
Typearticle
Languageen
FieldEngineering
TopicManufacturing Process and Optimization
Canadian institutionsUniversity of Saskatchewan
Fundersnot available
KeywordsCADUSableComputer Aided DesignComputer scienceMechanism (biology)Key (lock)SoftwareEngineering drawingEngineeringOperating systemWorld Wide Web
DOInot available

Abstract

fetched live from OpenAlex

This paper deals with the development of a computer-aided force balancing (CAD-FB) system for mechanical designers. It is relatively surprising that though CAD for machine design is design is extremely popular,computer-aided force balancing design has yet to be discussed. Force balancing of mechanisms is not as simple as force balancing of a rotor. Computer tools to assist force balancing of mechanisms are thus very useful. In this paper,a general architecture of a CAD-FB system is proposed and key issues in implementing the CAD-FB system are discussed. Using a hybrid force balancing approach as an example,the effectiveness of the CAD-FB system is shown for practicing designers. The study laid a basis for future implementation a more usable software system.

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)0.001
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: Simulation or modeling · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.826
Threshold uncertainty score0.201

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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 head0.022
GPT teacher head0.276
Teacher spread0.254 · 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