Prediction of mechanical properties in magnesia based refractory materials using ANN

Computational Materials Science

Volumn 47, Issue 1, 2009, Pages 86-92

  Koksal, N Sinan ^a  

^a CELAL BAYAR UNIVERSITY   (Turkey)

Author keywords

Mechanical properties; Neural network; Refractory materials; Thermal shock

Indexed keywords

ARTIFICIAL NEURAL NETWORK MODELS; CHEMICAL COMPOSITIONS; COMPLEX MICROSTRUCTURES; EXPERIMENTAL VALUES; HETEROGENEOUS MATERIALS; PREDICTION OF MECHANICAL PROPERTIES; PROCESSING PARAMETERS; THEORETICAL RESULT; THREE-POINT BENDING TEST; TREATMENT TEMPERATURE; WORKING CONDITIONS; YOUNG'S MODULUS;

BACKPROPAGATION; BENDING STRENGTH; ELASTIC MODULI; ELASTICITY; MAGNESIA; MAGNESIA REFRACTORIES; MATERIALS PROPERTIES; NEURAL NETWORKS; THERMAL SHOCK;

MECHANICAL PROPERTIES;

EID: 70449094828     PISSN: 09270256     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.commatsci.2009.06.018     Document Type: Article

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