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Record W7061862876

Shaftless Screw Conveyor Design

2021· report· en· W7061862876 on OpenAlexaboutno aff

Bibliographic record

VenueMspace (University of Manitoba) · 2021
Typereport
Languageen
FieldPhysics and Astronomy
TopicMagnetic confinement fusion research
Canadian institutionsnot available
Fundersnot available
KeywordsProcess (computing)Engineering design processComputer-aided manufacturingManufacturing processDesign processConcurrent engineeringDesign methodsCADMachining
DOInot available

Abstract

fetched live from OpenAlex

This report outlines the design of a shaftless screw conveyor and the development of a testing methodology for Sperling Industries Ltd. as part of the University of Manitoba's MECH4860 Engineering Design course. Sperling Industries Ltd. is a Manitoba-based company that offers engineering and metal fabrication services. Sperling proposed this project to become more competitive in manufacturing shaftless screw conveyors. A shaftless screw conveyor is a conveyor that moves material by the turning action of a screw-like surface called a flighting. Shaftless screw conveyors are unique because a central shaft does not support the flighting. Instead, the flighting rests on a wearable liner that sits on the base of the trough enclosing the conveyor. The student team had to develop a prototype shaftless screw conveyor that the Sperling engineering team could use for testing. The manufacturing of the prototype must cost between $18,000-$22,000, and the design for the prototype was to be submitted to the client as a CAD assembly of the entire design along with a testing methodology. The testing methodology describes what should be measured and how it should be measured. It also includes a step-by-step procedure on using the conveyor for testing and will be modifiable to suit the client's future needs. The rest of the report focuses on the process followed by the student team including the definition of the project, the development of concepts used in the design, the analyses completed to create the design, and the final design proposed by the team. The final design is a shaftless screw conveyor powered by a 2 HP motor with a gearbox and VFD used to control its speed. The conveyor is expected to move 300 ft3/hr of material when loaded to the maximum capacity. Notable features of the final design include a shear pin design on the input shaft connection, which acts as a fail-safe when the conveyor is overloaded, custom-made liner stops to hold the wearable trough-liner in position, bearing supports for the flighting on both ends of the conveyor, and a unique connection plate that allows the motor to be connected from either end of the conveyor. The suggested testing methodology focused on testing for properties such as the thrust generated when the conveyor is running, the motor's torque output, and the horizontal deformation of the flighting. The total cost of the design is $19,041.16. This includes the material cost, the labor cost incurred by the client, the cost of outsourced components, and the cost of the sensors required for testing. This total cost falls under the budget set by the client, and the prototype meets the revised objectives set by the client

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.031
Threshold uncertainty score0.104

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.003
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0030.002
Science and technology studies0.0010.001
Scholarly communication0.0030.003
Open science0.0050.001
Research integrity0.0020.001
Insufficient payload (model declined to judge)0.0310.012

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 head0.048
GPT teacher head0.253
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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreOther

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
Published2021
Admission routes1
Has abstractyes

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