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Record W2781478648 · doi:10.1177/0954407017748810

Development of A Novel Integrated Corner Module for Narrow Urban Vehicles

2018· article· en· W2781478648 on OpenAlex
Mohammad-Amin Rajaie, Amir Khajepour, Alireza Pazooki, Amir Soltani

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

VenueProceedings of the Institution of Mechanical Engineers Part D Journal of Automobile Engineering · 2018
Typearticle
Languageen
FieldEngineering
TopicMechanical Engineering and Vibrations Research
Canadian institutionsUniversity of Waterloo
Fundersnot available
KeywordsCamber (aerodynamics)Automotive engineeringBrakeMechanism (biology)EngineeringIntegrated designComputer scienceStructural engineering

Abstract

fetched live from OpenAlex

Most current urban vehicles are scaled-down versions of standard passenger cars. This imposes serious limitations on the safety, comfort, efficiency, dynamic performance and, hence, customer acceptance of the vehicle. This paper provides a unique design of an integrated corner module including an in-wheel suspension, an electrical in-wheel motor, a friction brake, a steering system, and a camber mechanism, which can be used in any urban vehicle design without modification. For the first time, a dual four-bar linkage mechanism has been designed to generate a virtual kingpin axis and provide an active camber. This approach results in a highly compact design for the corner module that can be integrated into narrow vehicles. A full-size prototype of the proposed integrated corner module has been fabricated and tested to validate the new steering mechanism and the integrated corner module characteristics.

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)0.001
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 score0.409
Threshold uncertainty score0.783

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.241
Teacher spread0.219 · 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