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Record W7027669411

Design of an Energy-Efficient Heated Dryer

2021· report· en· W7027669411 on OpenAlexaboutno aff

Bibliographic record

VenueMspace (University of Manitoba) · 2021
Typereport
Languageen
Field
Topic
Canadian institutionsnot available
Fundersnot available
KeywordsHeat exchangerAirflowHeat recovery ventilationAir dryerCuring (chemistry)High heatCopper in heat exchangersDry heatPlate heat exchanger
DOInot available

Abstract

fetched live from OpenAlex

MacDon Industries is an agriculture equipment manufacturer, based in Winnipeg, MB. They manufacture harvesting equipment, primarily using steel. To ensure that the steel parts do not corrode, they must be painted to a high-quality standard. To properly paint the parts, they first must be washed in a chemical bath and then rinsed thoroughly with water. After being rinsed, the parts are dried in a dehumidification chamber which consists of fans blowing room temperature air onto the parts. Currently, the dehumidification chamber that dries the parts following the chemical bath station is not able to sufficiently dry complex parts. To improve the ability of the dehumidification chamber to dry all the parts that MacDon paints, MacDon has proposed to use the exhaust from the curing oven to heat the dehumidification chamber. The final design to heat the dehumidification chamber will use an air-to-air cross-flow heat exchanger to reclaim the heat from the curing oven exhaust. The dehumidification chamber will have its internal temperature maintained at 250°F using the cross-flow heat exchanger. To maintain the internal temperature of 250°F, air from the dehumidification chamber will be recirculated through the heat exchanger at an airflow of 15,000 CFM. An AX-80-400-0625 fan was selected for this purpose. To evaporate water off of the parts, 155.5 kJ of heat is required. Heating the dehumidification chamber will allow 1618.7 kJ of heat to be absorbed by the sample part that MacDon specified. This heat will be able to sufficiently evaporate water off of the part. The sample part will exit the dehumidification chamber at 114.9°F. Between the dehumidification chamber and the paint booth, the part temperature will decrease to 23.7°C, which is well below the 100°F maximum allowable part temperature for painting. To keep the heat inside the dehumidification chamber, the chamber must be insulated. R-100 insulation will be required to maintain the internal temperature of 250°F. Thermafiber FireSpan 90 stone wool insulation was selected. 2” calcium silicate insulation will be wrapped around all ducts to minimize heat loss. To prevent air from escaping out of the entrance and exit of the dehumidification chamber, air curtains will be installed on both openings. Additionally, rubber strips will be installed along the opening for the monorail at the top of the dehumidification chamber. A CUBE-200 rooftop exhaust fan was selected to exhaust the hot air from the dehumidification chamber. It will only be used when personnel need to enter the dehumidification chamber. The total cost for the selected equipment is $88,784.77 USD.

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)0.000
metaresearch head score (Gemma)0.000
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: Empirical · Consensus signal: none
Teacher disagreement score0.012
Threshold uncertainty score0.040

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
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 science0.0020.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0120.004

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 head0.231
Teacher spread0.186 · 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
GenreEmpirical

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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