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Record W6983702548

New Flyer Industries Bus Door Air Curtain Design and Analysis

2022· report· en· W6983702548 on OpenAlexaboutno aff

Bibliographic record

VenueMspace (University of Manitoba) · 2022
Typereport
Languageen
Field
Topic
Canadian institutionsnot available
Fundersnot available
KeywordsDoorsAtmosphere (unit)Transit (satellite)Task (project management)Industrial designCurtain wallEfficient energy useBusbarEnergy consumption
DOInot available

Abstract

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This project explores the design and analysis of an air curtain to be used in New Flyer’s electric bus. New Flyer is a leading bus manufacturer in North America and is working towards increasing the efficiency of the Xcelsior Charge line of electric buses. New Flyer identified the door as a major energy loss source during passenger ingress and egress. An air curtain is proposed in the report to reduce energy loss through the door. The proposed design forms an air boundary separating the outside atmosphere from the bus cabin atmosphere to reduce heat transfer through the door boundary when the doors are open. The team had the task to develop a solution to reduce heat transfer through the door. The design is required to meet industry standards outlined by the American Public Transport Agency (APTA) and the Americans with Disabilities Act (ADA). Although no specific project budget was set, cost was minimized where possible and influenced design decisions. The final design was to be submitted to the client as a CAD model along with the results of the analysis obtained. The submission to the client also included Failure Modes and Effects Analysis (FMEA) for designing, manufacturing, and installation of the air curtain. In addition, future recommendations concerning both the design and analysis are included in the report. STAR-CCM+ was utilized to perform a Computational Fluid Dynamic (CFD) analysis of the air curtain design. Initial analysis of the air curtain did not show promising results, and hence, three more studies were performed to explore the air curtain performance. Simulation data showed increased heat transfer rates for the door equipped with the air curtain; however, it was demonstrated that the air curtain was successful in creating a barrier to separate internal and external air. Due to the lack of HVAC return in the simplified CFD model, the air leaving the air curtain plenum was exiting the bus at an increasing rate. With optimization of the HVAC return, nozzle position, angle, and cross-sectional area, the observed rate of heat transfer through the door would improve. This report includes the steps taken to design and perform CFD analysis on the air curtain, along with the challenges encountered by the team. Additionally, base case CFD analysis (without the air curtain) was performed to compare the results with the air curtain analysis to help understand the value added. The final design proposed to the client is a dual-fan-operated air curtain. Centrifugal fans used in the air curtain are operated using 24VDC with a power rating of 175.2W each to produce 2200 CFM combined. A distinct feature of the design is its compact geometry which takes up less space and requires fewer changes to the baseplate. The geometry design quickly spreads the flow along the length of the door as the fans are activated to form an air door when the bus door is opened. High-density polyethylene (HDPE) used for the design makes it highly impact-resistant, allowing it to meet the durability requirements for the transit bus application. The energy consumption of the fans used is 0.741 kWh for one day of operation, which is significantly lower than the average energy consumption by the HVAC system used to heat and cool the bus with an average daily consumption of 70.57 kWh in Winnipeg. The total cost for producing a prototype for testing is approximately $4480, which includes the adjustments to the CAD modeling, rework instruction for the prototype air curtain, rapid prototyping, and installation covering both mechanical and electrical work involved. The cost rises up to $16000 for a detailed production-ready design for implementation in the bus.

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: Simulation or modeling · Consensus signal: Simulation or modeling
GenreCandidate signal: Methods · Consensus signal: Methods
Teacher disagreement score0.011
Threshold uncertainty score0.038

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.000
Science and technology studies0.0010.000
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0110.002

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 head0.045
GPT teacher head0.235
Teacher spread0.190 · 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 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
Published2022
Admission routes1
Has abstractyes

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