Anzeige
Erschienen in:
2007 | OriginalPaper | Buchkapitel
Identification and Application of Nonlinear Rheological Characteristics of Oilseed Based on Artificial Neural Networks
verfasst von : Xiao Zheng, Guoxiang Lin, Dongping He, Jingzhou Wang, Yan You
Erschienen in: Life System Modeling and Simulation
Verlag: Springer Berlin Heidelberg
Aktivieren Sie unsere intelligente Suche, um passende Fachinhalte oder Patente zu finden.
Wählen Sie Textabschnitte aus um mit Künstlicher Intelligenz passenden Patente zu finden. powered by
Markieren Sie Textabschnitte, um KI-gestützt weitere passende Inhalte zu finden. powered by
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.