Spectral Based Spatio-temporal Modeling for Thermal Crown of Aluminium Alloy Hot Rolling Processes

摘要

A spectral based low-dimensional spatio-temporal modeling approach is proposed for thermal crown of work rolling in aluminium alloy rolling processes. Firstly, the Karhunen-Loeve (KL) decomposition is used for dimension reduction and time/space separation. The neural networks are used for dynamic modeling. The simulations have demonstrated the effectiveness of the proposed spatio-temporal modeling approach.