Model of Aluminium Foil Rolling Force Based on Neural Networks

Wang Bangwen; Yang Guang; Xu Feng; Li Mouwei; Liu Shengming; Wang Guoping

doi:10.13374/j.issn1001-053x.1997.02.012

Volume 19 Issue 2

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Article Navigation > Chinese Journal of Engineering > 1997 > 19(2): 173-177

Wang Bangwen, Yang Guang, Xu Feng, Li Mouwei, Liu Shengming, Wang Guoping. Model of Aluminium Foil Rolling Force Based on Neural Networks[J]. Chinese Journal of Engineering, 1997, 19(2): 173-177. doi: 10.13374/j.issn1001-053x.1997.02.012

Citation:

Wang Bangwen, Yang Guang, Xu Feng, Li Mouwei, Liu Shengming, Wang Guoping. Model of Aluminium Foil Rolling Force Based on Neural Networks[J]. Chinese Journal of Engineering, 1997, 19(2): 173-177. doi: 10.13374/j.issn1001-053x.1997.02.012

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Model of Aluminium Foil Rolling Force Based on Neural Networks

doi: 10.13374/j.issn1001-053x.1997.02.012

1. Mechanical Engineerrng School, UST Beijing, Beijing 100083, China;
2. Northwest Alloys Plant, Harbin 150060, China

Received Date: 1996-08-22
Available Online: 2021-08-27

Abstract

Abstract

Based on the principle of BP neural networks, the rolling force model is established after thoroughly analyzing and reprocessing the data of 1350 mm aluminium foil mill. It states that the difference between the output of artificial neural networks rolling force model and the real value is in the order of 3 percent. The model reflects the real feature of process.
- neural networks,
- aluminium foil,
- rolling force model