Paper · 1979 · Transactions of the ASAE

Simulation of Solar Drying of Shelled Corn Using the Logarithmic Model

M. A. Sabbah; H. M. Keener; G. E. Meyer

3
claims
6
verbatim quotes
14
citations
2
research areas
—
Not open access

Abstract

ABSTRACT THE accuracy of using the log model of drying for simulating solar and natural grain drying was exam-ined using experimental moisture results of nine drying tests. Incorporating an air velocity effect into the model improved the accuracy significantly. Using either cumulative-or-moving-time averages of the actual drying air temperature and humidity as input conditions to the model resulted in valid moisture predictions. A data scanning-time-interval of up to 4 h was proved sufficient without significant loss in accuracy.

Abstract from the paper’s OpenAlex record, shown for indexing and research. Copyright remains with the authors or the publisher. Read at the source ↗

The text the model read, with the source record’s inline markup (italics, sub- and superscripts) rendered and its character entities decoded; quote offsets refer to the raw text.

Claims 3

Method / resourceobservedoriginal resultpositivesignificant (as stated)measured

Claim · model-written summary

Adding air velocity significantly improved model accuracy.

Treatment
air velocity effecte0
Outcome
accuracye0
Direction
improvede0

Not reportedComparatorValue

Organisms pictured · Representative pictures of the matched species, not figures from the paper.

Zea mays subsp. mays
Zea mays subsp. mays · TaxonDominicus Johannes Bergsma · CC BY-SA 4.0 · Wikimedia Commons ↗

Verbatim

e0

“Incorporating an air velocity effect into the model improved the accuracy significantly.”

✓ located verbatim in the source · abstract, characters 173–261 · show in text ↑
t0

“Corn”

✓ located verbatim in the source · title, characters 38–42 · show in text ↑
Method / resourceobservedoriginal resultpositivemeasured

Claim · model-written summary

Cumulative-time average inputs yielded valid moisture predictions.

Treatment
cumulative-or-moving-time averagese0
Outcome
valid moisture predictionse0

Not reportedComparatorValue

Organisms pictured · Representative pictures of the matched species, not figures from the paper.

Zea mays subsp. mays
Zea mays subsp. mays · TaxonDominicus Johannes Bergsma · CC BY-SA 4.0 · Wikimedia Commons ↗

Verbatim

e0

“Using either cumulative-or-moving-time averages of the actual drying air temperature and humidity as input conditions to the model resulted in valid moisture predictions.”

✓ located verbatim in the source · abstract, characters 262–432 · show in text ↑
t0

“Corn”

✓ located verbatim in the source · title, characters 38–42 · show in text ↑
Method / resourceobservedoriginal resultpositivenot significant (as stated)measured

Claim · model-written summary

A scanning interval up to 4 h maintained accuracy without significant loss.

Outcome
accuracye0
Direction
without significant losse0
Value
4 he0

Not reportedComparator

Organisms pictured · Representative pictures of the matched species, not figures from the paper.

Zea mays subsp. mays
Zea mays subsp. mays · TaxonDominicus Johannes Bergsma · CC BY-SA 4.0 · Wikimedia Commons ↗

Verbatim

e0

“A data scanning-time-interval of up to 4 h was proved sufficient without significant loss in accuracy.”

✓ located verbatim in the source · abstract, characters 433–535 · show in text ↑
t0

“Corn”

✓ located verbatim in the source · title, characters 38–42 · show in text ↑