Abstract Rapid dendritic growth of $\gamma$-(Ni, Fe) phase, $\beta$-CoSb intermetallic compound and $\alpha$-Fe phase was realized by undercooling Ni-10%Fe single phase alloy, Co-60.5%Sb intermetallic alloy and Fe-40%Sn hypomonotectic alloy to a substantial extent. Their experimentally measured dendrite growth velocities were 79.5m/s, 12m/s and 0.705m/s, corresponding to undercooling levels of 303K(0.18TL), 168K(0.11 TL) and 219K(0.15 TL) respectively. Since the usual dendrite growth theory deviates significantly from reality at great undercoolings, an artificial neural network incorporated with stochastic fuzzy control was developed to explore rapid dendrite growth kinetics. It leads to the reasonable prediction that dendritic growth always exhibits a maximum velocity at a certain undercooling, beyond which dendrite growth slows down as undercooling increases still further. In the case of Fe-Sn monotectic alloys, $\alpha$-Fe dendrite growth velocity was found to depend mainly on undercooling rather than alloy composition.
Received: 30 November 1999
Revised: 14 January 2000
Accepted manuscript online:
Fund: Project supported by the National Natural Science Foundation of China(Grant No. 59871040) and Natural High Technology Program of China (Grant No. 863-2-4-3-2).
Cite this article:
Wang Nan (王楠), Zhang Jun (张骏), Wei Bing-bo (魏炳波), Dai Guan-zhong (戴冠中) RAPID DENDRITIC GROWTH INVESTIGATED WITH ARTIFICIAL NEURAL NETWORK METHOD 2000 Chinese Physics 9 532
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