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

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6 Citations (Scopus)

Abstract

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.

Original languageEnglish
Pages (from-to)338-344
Number of pages7
JournalJournal of Power Sources
Volume175
Issue number1
DOIs
Publication statusPublished - 2008 Jan 3

All Science Journal Classification (ASJC) codes

  • Renewable Energy, Sustainability and the Environment
  • Energy Engineering and Power Technology
  • Physical and Theoretical Chemistry
  • Electrical and Electronic Engineering

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