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Record W1806730350 · doi:10.4271/2008-01-2551

Dynamic Vehicle Weight Reduction and Safety Enhancement

2008· article· en· W1806730350 on OpenAlexaboutno aff
Peter Strom

Bibliographic record

VenueSAE International Journal of Passenger Cars - Mechanical Systems · 2008
Typearticle
Languageen
FieldEngineering
TopicVehicle Dynamics and Control Systems
Canadian institutionsnot available
Fundersnot available
KeywordsReduction (mathematics)Automotive engineeringEngineeringMathematics

Abstract

fetched live from OpenAlex

<div class="htmlview paragraph">The rising cost of fuel, global warming and the economy in general has increased awareness about the importance of vehicle weight as it relates to consumer cost savings at the gas pump. However, vehicle safety cannot be compromised at the expense of reduced weight, making it necessary to find a proper balance to satisfy all requirements. The <i>Ultra brake rotor</i><sup>™</sup> reduces weight by as much as 40% for each wheel which translates to significant improvements as defined by CAFE regulations. Fully compatible with original calipers and other wheel components, these rotors additionally provide enhanced vehicle reliability and performance. Independent laboratory tests demonstrate compliance to FMVSS 135, and a 40% increase in rotor and brake pad wear life. Weight reduction is achieved by casting an aluminum core structure around steel wear inserts to form a strong mechanical bond. The 2007 GM Yukon front rotor cast from traditional grey iron steel weighs 26 pounds, while an equivalent <i>Ultra brake rotor</i> part contains 8 pounds of steel and 9 pounds of aluminum for a total weight of 17 pounds. Since aluminum has thermal conductivity properties superior to that of grey iron steel, performance improvements result from expected operation as friction heat is rapidly transferred from the steel inserts into the aluminum and then dissipated to air.</div> <div class="htmlview paragraph">This paper details the test results to support 20 - 30% longer pad life, less rotor wear, with 40% reduction in weight when compared to conventional steel rotors.</div>

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 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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.952
Threshold uncertainty score0.623

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 head0.211
Teacher spread0.205 · 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 teacher head, 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

Citations3
Published2008
Admission routes1
Has abstractyes

Explore more

Same venueSAE International Journal of Passenger Cars - Mechanical SystemsSame topicVehicle Dynamics and Control SystemsFrench-language works237,207