MétaCan
Menu
← Back to cohort
Record W7046422948

Design of a Self-Powered Recreational Vehicle Loader for Pickup Trucks

2020· report· en· W7046422948 on OpenAlexaboutno aff

Bibliographic record

VenueMspace (University of Manitoba) · 2020
Typereport
Languageen
FieldPhysics and Astronomy
TopicMagnetic confinement fusion research
Canadian institutionsnot available
Fundersnot available
KeywordsLoaderTruckCompatibility (geochemistry)Scope (computer science)Key (lock)New product developmentAutomotive industryProduct (mathematics)
DOInot available

Abstract

fetched live from OpenAlex

To load an off-road vehicle (ORV) into the bed of a pickup truck, the use of homemade or commercially produced ramps is common practice. This loading method can be dangerous and can cause serious injury for the operator. This outcome is almost certain if a ramp is inadequately rated for high loads. Atom-Jet Industries believes that there exists a market for a premium product with the ability to safely and conveniently load an ORV without the requirement for external power. Through the Mechanical Engineering Capstone course (MECH 4860) at the University of Manitoba, the student team, ORV Solutions was assigned to the Recreational Vehicle Lift project with Atom-Jet Industries. A three phased project plan including Phase I – Project Definition, Phase II – Concept Development, and Phase III – Detail Design, was employed to manage and successfully execute the project. During Phase I, ORV Solutions were able to itemize the project scope through documenting of project requirements and specifications. Requirements with the highest priority included the capability to both load and unload the ORV, design compatibility with multiple ORVs, and powering of the concept through the ORV itself. The product requirements were then broken down to five key sections. These sections included compatibility, truck mounting, platform, power transmission, and loading/unloading methods. ORV Solutions was then able to generate several concepts by combining methods from each section. Following a screening, scoring, and review process, a concept was selected for development in the Detail Design phase. The design of the self-powered recreational vehicle loader was finalized in phase III. To load an ORV in the final design, the ORV is driven up an inclined platform. This inclined platform then pivots to be parallel to the floor of the truck bed through spooling of a cable much like a winch. Power is transmitted from the ATV or snowmobile through a treadmill style track and roller system. A spool on the drive shaft is then able to reel in a cable attached to the truck bed and ultimately load the ORV. A v-belt system was introduced into the design to increase torque, this increased the loading capacity of the design. The platform is guided onto the truck bed through interference between a platform mounted rail and base frame structure bolted and mounted on the truck bed. From a list of 20 client needs and recommendations, 16 were met, two were partially developed, and two were not incorporated into the design. The total cost of purchasable and stock material (for manufacturing) for this design is estimated to be $1,718.00. While there is room for optimization and improvement in the design, ORV Solutions is confident that the design presented in this report is functional and achieves the design needs and requirements laid out and agreed upon during Phase I.

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)0.001
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation 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: Methods · Consensus signal: Methods
Teacher disagreement score0.012
Threshold uncertainty score0.039

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.000
Science and technology studies0.0010.000
Scholarly communication0.0010.001
Open science0.0030.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0120.005

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 head0.040
GPT teacher head0.248
Teacher spread0.208 · 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 designBench or experimental
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
Published2020
Admission routes1
Has abstractyes

Explore more

Same venueMspace (University of Manitoba)→Same topicMagnetic confinement fusion research→French-language works237,207→