Identification and Application of Nonlinear Rheological Characteristics of Oilseed Based on Artificial Neural Networks

摘要

Oilseed would display the characteristics of viscous-elastic-plasticity during pressing. The apparatus and method were successfully developed to measure the rheological properties of rapeseed and dehulled rapeseed, in which creep test was used under different stress. By using of artificial neural networks, the identification model of nonlinear rheological characteristics of rapeseed and dehulled rapeseed were developed on the basis of the creep test. Results indicated that the model simulated the nonlinear rheological characteristics very well. Compared to date fitting method and theoretical analysis method, the method of identification of rheological characteristic for oilseeds by using artificial neural networks is both simple and effective. The critical pressing time of rapeseed and dehulled rapeseed were determined by using of simulated creep curves.