A comparison of the artificial neural network model and the theoretical model used for expressing the kinetics of electrophoretic deposition of YSZ on LSM

研究成果: Article同行評審

6 引文 斯高帕斯(Scopus)

摘要

In the present study, an artificial neural network (ANN) model and a theoretical model are established to predict the kinetic behavior of electrophoretic deposition (EPD). Both the theoretical model and the ANN model describe the kinetic behavior of EPD at a low-applied voltage (below 15 V) well. However, the theoretical model failed to predict the behavior at the higher applied voltages of 40 and 50 V. In contrast, the proposed ANN model not only showed enhanced numerical accuracy, but was also generic to other operational conditions as well. Compared to the theoretical model, the ANN model shows outstanding capability of predicting actual kinetic behavior.

原文English
頁(從 - 到)338-344
頁數7
期刊Journal of Power Sources
175
發行號1
DOIs
出版狀態Published - 2008 一月 3

All Science Journal Classification (ASJC) codes

  • 可再生能源、永續發展與環境
  • 能源工程與電力技術
  • 物理與理論化學
  • 電氣與電子工程

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