Algorithm Optimization of Shape Setup Calculation in Hot Strip Mill

Liu, Zi Ying; Sun, Yan; Song, Xiang Rong

doi:10.4028/www.scientific.net/amr.926-930.3364

Cited by 1 publication

(1 citation statement)

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“…Liu [11] compares and analyses the hot rolling mathematical models of various western companies, and found that there is still lacking optimization allocation model in the strategic models of real production plants. Liu et al [12] and Hao et al [13] conduct the parameter optimization on the multi-variable system of profile control model according to finite element analysis. However, it still adopts traditional models on allocation strategies.…”

Section: Introductionmentioning

confidence: 99%

Research on Crown & Flatness Allocation Strategy of Hot Rolling Mills

Sun¹,

Li²,

Shao³

2016

Int. j. simul. model.

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In order to present the reasonable crown of hot rolling mills, the bend force and shift position should be pre-computed in a reasonable manner, while maintaining a good profile. How to search the optimal crown trajectory in ratio crown range is the key problem. Crown and flatness allocation strategy is researched based on dynamic programming method which has been improved and optimized by the algorithm. The key parameters have been calculated by finite element method and regression calculation method, which can regress the equation of the mechanical crown. Comparing with a real production hot rolling mills, the result of state transition equation shows a perfect availability. Additionally, the parallel computing model and look-up table method have been utilized in dynamic programming calculation program. The results show that the bend force normalization population standard deviation fell from 0.2 to 0.06 and the continuously variable crown (CVC) roll shift position normalization population standard deviation fell from 0.3 to 0.15. The consequences show that the crown and flatness allocation strategy has a better application effect and the computing time is only 16 ms, which proves that the model can be applied online.

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Section: Introductionmentioning

confidence: 99%