中国物理B ›› 2000, Vol. 9 ›› Issue (7): 532-536.doi: 10.1088/1009-1963/9/7/012

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RAPID DENDRITIC GROWTH INVESTIGATED WITH ARTIFICIAL NEURAL NETWORK METHOD

王楠, 张骏, 魏炳波, 戴冠中   

  1. Department of Applied Physics, and Northwestern Polytechnical University, Xi'an 710072, China
  • 收稿日期:1999-11-30 修回日期:2000-01-14 出版日期:2000-07-15 发布日期:2005-06-12
  • 基金资助:
    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).

RAPID DENDRITIC GROWTH INVESTIGATED WITH ARTIFICIAL NEURAL NETWORK METHOD

Wang Nan (王楠), Zhang Jun (张骏), Wei Bing-bo (魏炳波), Dai Guan-zhong (戴冠中)   

  1. Department of Applied Physics, and Northwestern Polytechnical University, Xi'an 710072, China
  • Received:1999-11-30 Revised:2000-01-14 Online:2000-07-15 Published:2005-06-12
  • Supported by:
    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).

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摘要： Rapid dendritic growth of γ-(Ni, Fe) phase, β-CoSb intermetallic compound and α-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, α-Fe dendrite growth velocity was found to depend mainly on undercooling rather than alloy composition.

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.

Key words: dendritic growth, neural network, undercooling, solidification

中图分类号:  (Solid-liquid transitions)

  • 64.70.D-
68.70.+w (Whiskers and dendrites (growth, structure, and nonelectronic properties)) 81.30.Fb (Solidification)