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Record W4413838705 · doi:10.24908/iqurcp19892

Redesign and Validation of an Accessible and 3D-Printable 24-Channel Peristaltic Pump

2025· article· en· W4413838705 on OpenAlex
Utomobong Uwem Essien

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.
venuePublished in a venue whose home country is Canada.

Bibliographic record

VenueInquiry Queen s Undergraduate Research Conference Proceedings · 2025
Typearticle
Languageen
FieldMaterials Science
TopicMaterial Properties and Applications
Canadian institutionsQueen's University
Fundersnot available
KeywordsPeristaltic pumpPeristalsisChannel (broadcasting)Computer scienceEngineeringMechanical engineeringTelecommunicationsMedicineAnatomy

Abstract

fetched live from OpenAlex

Peristaltic pumps are essential for research applications in many labs, but they are not accessible to all of them. Labs in the Global South are affected by the time and cost barriers that commercial peristaltic pumps pose. These commercial pumps have high purchasing costs and become more expensive when shipping and importation are considered. When these commercial pumps incur damage, the costs of repairing them are also expensive. As her Master’s Degree project, Erin Huitema, M.S., designed and produced a 3D printable 24-channel peristaltic pump using ABS-M30 material and off-the-shelf components. The project aimed to make the pump accessible, easy to use and able to function properly in an incubator while keeping flow rates between its channels consistent. User safety was also considered in the design. Although it operates continuously, the pump needs further development on some of its features. The pump’s motor-driver pair is unable to generate enough torque to power all 24 channels, and there is a fatigue component to the loading of the shaft introduced by a middle ball bearing, which was inserted to sustain a constant flow rate across all channels. A stronger, compatible motor driver providing ample current replaced the old one and has been proven to meet the 24-channel requirement. To eliminate the fatigue component on the shaft and still retain a consistent flow rate across all channels, the old 4mm rollers were replaced by 10mm rollers. These changes entailed redesigning some 3D printed parts to fit the new design. The modified pump design has been fabricated, and overall functionality has been tested. Validation and reliability testing are in progress. There is potential for an enhanced electronic system that allows the pump’s flow rate to be adjusted via control buttons and monitored in real time through an integrated LCD. An accessible, affordable and reliable 24-channel peristaltic pump has been designed, fabricated, and tested. Drawings are available upon request to the Queen’s Bone and Joint and Biomechanics Lab.

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)0.002
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 score0.089
Threshold uncertainty score0.853

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0010.001
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 head0.109
GPT teacher head0.373
Teacher spread0.264 · 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