実測データの信号解析による圧延パラメータの推定

概要

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Synopsis: Mill modulus and plastic modulus of material are important parameters for operating automatic gage control staj)ly. In this paper, estimation of the parameters by processing actual rolling data is studied. The parameters are calculated according to amplitildes of rolling force change and exit thickness change witch synchronize with a frequency of roll eccentricity. Discrete Fourier Transform (DFT) is used for analyzing amplitudes of the waves, but spectrums by DFT are affected by a cutting-off period from sampled time-base waves. A method that filters the spectrums and inverses them is proposed to improve accuracy of amplitude analysis. The effect of the method is confirmed by simulation with a sinusoidal wave. Secondly, the optimum cutting-offperiod is selected to maximize signal-to-noise ratio by calculating actual measured data during rolling. Finally using the above methodj mill modulus and plastic modulus are estimated on three coil data rolled with a reversing cold mill. As a result, it has been shown that amount of scatter of estimated values is small.
社団法人日本鉄鋼協会の論文