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Record W6981045969

Development of a New Product Using Fibres from Recycled Tires

2023· report· en· W6981045969 on OpenAlexaboutno aff

Bibliographic record

VenueMspace (University of Manitoba) · 2023
Typereport
Languageen
FieldMaterials Science
TopicMicrostructure and mechanical properties
Canadian institutionsnot available
Fundersnot available
KeywordsCrumb rubberPolyesterNatural rubberDirtCushioningProduct (mathematics)Hydraulic pressureCompaction
DOInot available

Abstract

fetched live from OpenAlex

Reliable Tire Recycling (RTR) tasked Team 2 to develop a recycling method for a synthetic fibre by-product produced by their tire recycling process. This by-product is made from a heterogenous mixture of short fibres such as polyester and nylon and contains significant amounts of impurities like dirt and crumb rubber. RTR expressed interest in using the by-product to create a new parking curb that would supersede their current model. They requested that the new design be light enough for a single person to carry, be able to withstand all-year Winnipeg weather, and can hold up during interactions with vehicles (i.e., collisions, rollovers, etc.). Team 2 proposed a new parking curb that incorporates the fibre by-product into RTR’s existing rubber mixture, paired with a redesigned form that meets the specified design objectives. The redesign includes underside cavities as well as reduced length for weight and material reduction. The proposed curb would be composed of 22% fibre by-product by mass, which was mixed directly into the rest of the ingredients (70% crumb rubber, 7.5% hydraulic binder, 0.5% water) to create test specimens for material evaluation. The mixture was formed by compressing it with 1700 psi of pressure and baking it at 100 °C. Other compositions were tested as well, including a control composition, 5% fibre by-product, 12% fibre by-product, RTR’s existing curb and two existing market options. The density of each test specimen was calculated first, and that density was used to determine the weight a proposed curb would be if it was made using each composition. All compositions containing fibre would result in a curb weight under the 35 lb design objective. The test specimens were evaluated by uniaxially compressing them according to ASTM standards. This test showed that the addition of fibre by-product, as well as applying higher pressure in the material creation process made the material deform less under load. All specimens containing fibre deformed less than 50% under the design load of 100 psi, passing the design objective. All specimens were then subjected to thermal testing, where they were exposed to extreme hot and cold temperatures (+75 °C and -80 °C respectively). After exposure, each was inspected for deformation and then hit with a metal rod at 21.7 km/hr to evaluate how it responded to impact force. All specimens passed, as none degraded noticeably post temperature exposure and all withstood the impact. A digital curb was then constructed using the 22% fibre by-product mixture, which was then subjected to 100 psi of pressure on the top face. The digital curb deformed a maximum of 8%, passing the deformation design objective. After analyzing the test results Team 2 recommended that RTR make several changes to their current mode of production. It was recommended that RTR increase the pressure used to manufacture curbs and begin introducing the fibre by-product into their curb mixture, starting with 22% replacement of crumb rubber for increased strength and reduced waste to landfill. It was also recommended that RTR adopt a curb design similar to the one proposed by Team 2 for weight, material, and cost savings.

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: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.418
Threshold uncertainty score0.966

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.001
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 head0.119
GPT teacher head0.268
Teacher spread0.149 · 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

Citations0
Published2023
Admission routes1
Has abstractyes

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