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Record W3161617157

Miniature Tensile Stage For Fibre Testing in XRD

2015· article· en· W3161617157 on OpenAlexaboutno aff
Zachary Pion, Steven McMillan, Joe Tang, Riley Unruh

Bibliographic record

VenueMspace (University of Manitoba) · 2015
Typearticle
Languageen
FieldEngineering
TopicAdvanced Surface Polishing Techniques
Canadian institutionsnot available
Fundersnot available
KeywordsMaterials scienceUltimate tensile strengthStage (stratigraphy)Composite materialTensile testingGeology
DOInot available

Abstract

fetched live from OpenAlex

Composites Innovation Centre (CIC), a company based in Winnipeg, Manitoba, Canada, uses X-ray diffractometry (XRD) and tensile testing separately to evaluate different fibres and observe if they are usable in composite materials. In order to increase efficiency and view how the molecular structure of the fibre changes as force is applied, it is ideal to combine the two tests within the XRD machine. Approaching this problem requires an assessment on the size constraints imposed by the XRD, as well as the precision required from the test. This report provides both the necessary background information and presents a final design for such a system with recommendations to proceed forward. The final design consists of two purchased components, the LP512 load cell from Cooper Instruments & Systems which costs $795 and the PQ12 Micro Linear Actuator from Firgelli Technologies Inc. which costs $65. Four fastener components which are the two M3 Machine Screws, one 40 mm and one 20 mm, along with twoM3 Nylock Nuts are required with an expected cost of approximately $6. The remaining three components are 3-D printed from ABS plastic. They are a base mount, a lower tab slot, and an upper support with a tab slot. The base consists of a hole with a cover to insert the load cell into. The lower tab slot threads onto the load cell, securing it to the base while providing a point of load application. The linear actuator inserts into another hole in the base, and is secured via the 40 mm screw and nut. The upper support and slot is secured to the actuator via the 20 mm and nut. The total cost in time, labour, and materials for these three parts is expected to be approximately $50. A Personal Daq/54 by Measurement Computing is recommended as a possible solution for data acquisition. This final design has dimensions of 23 mm×49 mm×40 mm width, height, and depth respectively, and has been tested to fit within the XRD machine. The total cost of the chosen components is approximately $919.98, with an additional $829.00 for a recommended data acquisition module […]

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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.193
Threshold uncertainty score0.987

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 head0.038
GPT teacher head0.221
Teacher spread0.184 · 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 designObservational
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
Published2015
Admission routes1
Has abstractyes

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