Mechanism Model of Injection System of Data-driven Die Casting Machine Based on Time Series
Aiming at the problem of great error in the theoretical model of the relationship between injection speed and cartridge valve spool displacement during injection of die casting machine,a mechanism model of injection speed sys-tem of die casting machine based on time series data-driven was proposed.Taking advantage of the long short-term memory(LSTM)neural network to process the time series,the intrinsic relationship between the injection speed and the displacement of the valve spool was established,and influence of noise on the model accuracy was reduced by the wavelet threshold denoising method.The root mean square error(RMSE)of the established model is 0.336%and the correlation coefficient(R2)is 0.998,which can accurately predict the displacement of valve spool.By comparing with the calculation results of theoretical formula model,the average error of the prediction results of the model is 0.11%,which is superior to the theoretical formula model.
Die Casting MachineInjection SystemLSTMData-drivenWavelet Decomposition
NETL
NSTL
万方数据
