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Record W2525728949 · doi:10.11159/icmie16.122

Design and Deformation Analysis of Six-component Wheel Dynamometer

2016· article· en· W2525728949 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.

venuePublished in a venue whose home country is Canada.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueProceedings of the World Congress on Mechanical, Chemical, and Material Engineering · 2016
Typearticle
Languageen
FieldEngineering
TopicTransport Systems and Technology
Canadian institutionsnot available
Fundersnot available
KeywordsDynamometerComponent (thermodynamics)Deformation (meteorology)Computer scienceEngineeringAutomotive engineeringMaterials scienceComposite materialPhysics

Abstract

fetched live from OpenAlex

Extended Abstract A wheel dynamometer is used to measure dynamic load that is transmitted from the road surface to vehicles while driving. In this paper, a six-component (three forces and three moments) wheel dynamometer utilizing shear deformation was designed and evaluated. The cross type structure having four or six radial bars was used as a basic sensing structure of the wheel dynamometer. The body of the dynamometer consists of a rigid central hub, a rigid outer annular ring and the radial bars extending between the hub and the ring. Although most of sensors are mounted conventionally to provide an output signal indicative of bending strains in the sensing bar, other forms of sensors such as those that provide an indication of shear strains was used in this paper for obtaining more stable signal against inevitable location error at bonding strain gauges. One aspect of the load transducer includes a structure of placing flexural members which are compliant for displacement of each corresponding radial bars. The flexural members on the end of sensing bars in the annular ring serve to produce sufficient shear strain of the sensing bars which lie at 90 degrees, but they can provide non-uniform distributions of shear strain. Since there is a possibility that such a non-uniform strain distribution can cause mutual coupling errors between the forces or moments, deformation analysis is needed thereof. Finite element analysis was performed to design the shape including flexural members and determine the size of sensing parts, and to predict output signals. In order to obtain adequate output signal and minimize coupling errors, the locations of strain gauges and their connection were determined so that Wheatstone bridge circuits with four or eight strain gauges would be balanced. Through the design modifications of the various shapes of flexural members, the coupling effect was minimized. The maximum capacity of the six-component wheel dynamometer designed in this paper is 25 kN in each force Fx, Fy, 20 kN

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 score0.016
Threshold uncertainty score0.427

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 head0.006
GPT teacher head0.173
Teacher spread0.168 · 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