THERMAL SCIENCE

International Scientific Journal

Authors of this Paper

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Jinjuan Sun

,

Zhiheng Ma

,

Jianhui Tian

PREDICTION OF FROSTING PROCESS ON COLD WALL SURFACE BASED ON ANN WITH BACK PROPAGATION ALGORITHM

ABSTRACT
The ANN with back propagation algorithm is a multi-layer feed-forward neural network, which is suitable to study unsteady frost formation with multiple factors. The back propagation ANN algorithm is used to study frost layer growth on cold flat surface, where four feature variables including temperature of cold flat surface, the velocity, relative humidity, and temperature of air are adopted. The frost growth experiment generates the database, which is good for training frost growth due to its fast speed and high precision based on Levenberg-Marquardt learning rule. The establishment of neural network model in this paper can quickly and accurately predict the frost layer height on cold flat surface of different control variables, which is helpful for the implementation of defrosting.
KEYWORDS
Artificial Neural Network, Back Propagation Algorithm, Frosting Process, Frosting Characteristics, Frost Height
PAPER SUBMITTED: 2022-11-26
PAPER REVISED: 2022-12-17
PAPER ACCEPTED: 2023-02-25
PUBLISHED ONLINE: 2023-03-11
DOI REFERENCE: https://doi.org/10.2298/TSCI221126055S
CITATION EXPORT: view in browser or download as text file
THERMAL SCIENCE YEAR 2023, VOLUME 27, ISSUE Issue 5, PAGES [4135 - 4144]
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Prediction of frosting process on cold wall surface based on ANN with back propagation algorithm

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