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Record W4401313271 · doi:10.18260/1-2--47902

Prototyping Low-Cost Tribometer with Block on Ring Configuration for the Optimization of Metal-Forming Applications

2024· article· en· W4401313271 on OpenAlexfundno aff
Immanuel Edinbarough, Jaime Taha‐Tijerina

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicMechanical stress and fatigue analysis
Canadian institutionsnot available
FundersInternational Council for Canadian StudiesUniversity of Texas Rio Grande Valley
KeywordsTribometerLubricationLubricantLubricityMechanical engineeringMaterials scienceTribologyProcess engineeringAutomotive engineeringEngineering

Abstract

fetched live from OpenAlex

Prototyping a Low-cost Block-On-Ring Tribometer for Evaluating Metal-Working Materials" Introduction:Manufacturing processes for metal-mechanical applications are commonly subjected to diverse characteristics such as material deformation, tool wear and damage, lubricant usage, among others.These activities are reviewed periodically to counterattack those effects that consume time, money and reduce quality.These processes require tribological evaluations based on hypotheses and research questions.A research question was formulated based on developing an experimental setup that will enable testing with various metals and components that could be performed under controlled conditions, including the ability to apply testing with a fluid or lubricant media or in dry conditions.The evaluations should be conducted to measure friction and wear rate between materials.Also, these evaluations should consider temperature, humidity, and other critical conditions that could affect the results.The data collected should be analyzed to determine the effects of various metals and components on friction and wear.Finally, the results should be compared to theoretical predictions.The engineering technology curriculum envisioned this project as part of experiential learning.The project team should discuss the results and draw conclusions based on the data.They should then present their findings and make recommendations to the appropriate stakeholders.Finally, they should demonstrate teamwork, proper scheduling and organization that ensures the success of the project.Teamwork, proper scheduling, and organization are crucial elements in ensuring the success of any project.By working together effectively, adhering to a well-planned schedule, and maintaining proper organization, the project team can streamline their efforts, minimize errors, and maximize efficiency, ultimately leading to the achievement of their goals and the delivery of high-quality results to the stakeholders.Also, document the process, results, and conclusions in a comprehensive report.Documenting the process, results, and conclusions in a comprehensive report is essential for several reasons.Firstly, it provides a record of the project's journey, allowing future teams to learn from successes and failures.Secondly, it serves as a reference document for stakeholders, ensuring transparency and accountability.Finally, it enables the project team to reflect on their work, identify areas for improvement, and apply lessons learned to future projects. Research Background:Tribology is the science and engineering of interacting surfaces in relative motion.Tribometer or tribotester is a generic name for a device which is used to simulate friction and wear at the interface between contact surfaces in relative motion under controlled conditions.The earliest reference provided by the dictionary is to the 1774 writings of Goldsmith, who used the word tribometer to mean a "measurer of friction."The purpose of tribometers is to simulate real world frictional and wear applications without sacrificing material.Some others are:

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: Simulation or modeling · Consensus signal: Simulation or modeling
GenreCandidate signal: Methods · Consensus signal: none
Teacher disagreement score0.992
Threshold uncertainty score0.166

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 head0.018
GPT teacher head0.243
Teacher spread0.225 · 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 designSimulation or modeling
Domainnot available
GenreMethods

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
Published2024
Admission routes1
Has abstractyes

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