Journal of Northeastern University ›› 2011, Vol. 32 ›› Issue (5): 667-670.DOI: -

• OriginalPaper • Previous Articles     Next Articles

Optimizing processing parameters for twin-roll strip casting using particle swarm optimization

Cao, Guang-Ming (1); Li, Cheng-Gang (1); Liu, Zhen-Yu (1); Gao, Bo-Hong (2)   

  1. (1) The State Key Laboratory of Rolling and Automation, Northeastern University, Shenyang 110819, China; (2) Shenyang Machine Tool Co. Ltd., Shenyang 110819, China
  • Received:2013-06-19 Revised:2013-06-19 Published:2013-04-04
  • Contact: Cao, G.-M.
  • About author:-
  • Supported by:
    -

Abstract: In order to improve the flat, gauge control precision and surface quality of casting strips, processing parameters were optimized based on a kiss point position calculation model (combining a Bayesian neural network and a theoretical model) and using a particle swarm optimization method under given chemical composition and process constraint conditions. Optimized and experimental results showed good agreement.

CLC Number: