Optimizing design of the microstructure of sol-gel derived BaTiO 3 ceramics by artificial neural networks

Journal of Electroceramics

Volumn 22, Issue 1-3, 2009, Pages 291-296

  Fan, Huiqing ^a   Liu, Laijun ^a  

^a NORTHWESTERN POLYTECHNICAL UNIVERSITY   (China)

Author keywords

BaTiO3; Grain size; Microstructure; Sintering

Indexed keywords

BACKPROPAGATION; CERAMIC MATERIALS; CERIUM; CERIUM COMPOUNDS; GELATION; GELS; GRAIN SIZE AND SHAPE; MANGANESE COMPOUNDS; MICROSTRUCTURE; SILICON COMPOUNDS; SINTERING; SOL-GEL PROCESS; SOL-GELS; SOLS;

ARTIFICIAL NEURAL NETWORKS; AVERAGE GRAIN SIZES; BACK-PROPAGATION NETWORKS; BATIO3; EXPERIMENT DATUM; EXPERIMENTAL DESIGNS; FORMULATION DESIGNS; GRAIN SIZE; HOLDING TIME; INPUT DATUM; NANO POWDERS; OPTIMIZING DESIGNS; OUTPUT DATUM; RELATIVE DENSITIES; SINTERING AIDS; SINTERING BEHAVIORS; SINTERING TEMPERATURES; THREE LAYERS; UNIFORM MICROSTRUCTURES;

NEURAL NETWORKS;

EID: 60649109688     PISSN: 13853449     EISSN: 15738663     Source Type: Journal    
DOI: 10.1007/s10832-007-9394-x     Document Type: Article

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