2011
DOI: 10.1016/j.msea.2011.09.008
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Optimizing mechanical properties of spark plasma sintered ZTA using neural network and genetic algorithm

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Cited by 7 publications
(1 citation statement)
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“…[1][2][3][4] In view of the widespread applications for which SPS processes are suitable, a number of optimization possibilities have arisen. Optimization can refer to sintering regime refinements and individuation of opportune densification aids, 5,6 combinations with other technologies, 7,8 adaptation of classical theoretical models to the most innovative procedures, [9][10][11] coupling of experimental investigations with numerical modeling, 12 or improvements in the tooling setup features. [13][14][15][16][17][18][19][20] This study is focused on this latter aspect.…”
Section: Introductionmentioning
confidence: 99%
“…[1][2][3][4] In view of the widespread applications for which SPS processes are suitable, a number of optimization possibilities have arisen. Optimization can refer to sintering regime refinements and individuation of opportune densification aids, 5,6 combinations with other technologies, 7,8 adaptation of classical theoretical models to the most innovative procedures, [9][10][11] coupling of experimental investigations with numerical modeling, 12 or improvements in the tooling setup features. [13][14][15][16][17][18][19][20] This study is focused on this latter aspect.…”
Section: Introductionmentioning
confidence: 99%