M. Ghalambaz,

[ 1 ] - NEURAL NETWORK PREDICTION OF THE EFFECT OF SEMISOLID METAL (SSM) PROCESSING PARAMETERS ON PARTICLE SIZE AND SHAPE FACTOR OF PRIMARY α-Al ALUMINUM ALLOY A356.0.

Abstract: Problems such as the difficulty of the selection of processing parameters and the large quantity of experimental work exist in the morphological evolutions of Semisolid Metal (SSM) processing. In order to deal with these existing problems, and to identify the effect of the processing parameters, (i.e. shearing rate-time-temperature) combinations on particle size and shape factor, ...