Research on Scheme of the Continuous Casting Slab Internal Quality Inspection Based on BP Neural Network

Xin Li; Jie Sun; Xiao Feng Xie

doi:10.4028/www.scientific.net/AMM.380-384.4383

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 380-384Research on Scheme of the Continuous Casting Slab...

Research on Scheme of the Continuous Casting Slab Internal Quality Inspection Based on BP Neural Network

Abstract:

The internal quality of continuous casting billet mainly refers to the low power structure, center segregation, inner crack and the levels of inclusions. It seriously affects the comprehensive performance of steel and rolling slab of the casting billet center segregation and crack existing. The influence rules of the slab internal quality about the process and the factors of equipment combining with field production data have been discussed in this paper. Then using the improved BP algorithm with added momentum item and the prediction model of central segregation of continuous casting billet base on BP artificial neural network have been built.

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Periodical:

Applied Mechanics and Materials (Volumes 380-384)

Pages:

4383-4386

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.380-384.4383

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Online since:

August 2013

Authors:

Xin Li, Jie Sun, Xiao Feng Xie

Keywords:

BP Neural Network (BPNN), Continuous Casting Slab, Internal Quality Inspection, Middle Cracks

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References

[1] Cai Kaiyan; Casting billet center defects control [A], the progress of modern continuous casting technology [C], Beijing: 2003, 73-100.

Google Scholar

[2] Luo Siwei; Artificial neural network is built [M], Beijing: China railway publishing house, 1998, 1-112.

Google Scholar

[3] Liu Honglin, Bao Hong; Chemical metallurgical process optimization of artificial intelligence [M], Bingjing: Metallurgical industry press, 1998, 1-97.

Google Scholar

[4] Fuji Hiromu, Ohashi Tetsuro, Hiromoto Takeshi．On the information of internal cracks in continuously slabs [J], Transations ISIJ, 1978, 18(8): 81-89.

Google Scholar

[5] Yang Ladao, Xie Donggang; Conventional slab continuous casting technology [M], Beingjing: Metallurgical industry press, 2002, 7-17.

Google Scholar

[6] Dong Chengmao; Slab continuous casting technology development trend in the 90s [J], Special steel, 1994, 15(5): 13-16.

Google Scholar

[7] Cai Kaike; Casting billet center defects control [A], Beijing: 2003, 73-100.

Google Scholar