Parameter Identification of Nonlinear Viscoelastic-Plastic Constitutive Equation of Soybean and Cottonseed Based on Particles Swarm Optimization

First International Workshop on Knowledge Discovery and Data Mining (WKDD 2008) Pub Date : 2008-01-23 DOI:10.1109/WKDD.2008.65

Xiao Zheng, Guoxiang Lin, Jingzhou Wang, Yaxin Zhang

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引用次数: 2

Abstract

By using of combining theoretical model with empirical model, the nonlinear viscoelastic-plastic constitutive equations of soybean and cottonseed were developed on the basis of the creep test. The parameter inverse problem of constitutive model was proposed using improved particles swarm optimization. Numerical simulations of creep of soybean and cottonseed were carried out. The definition of critical pressing time for oil extraction and the method for determining the critical pressing time using creep rate were proposed. The values of critical pressing time for extruded soybean and cottonseed under six applied pressures were evaluated. Results indicated that the nonlinear viscoelastic-plastic constitutive model could simulate rheological behaviors of soybean and cottonseed very well. Mean relative deviations between the experimental and predicted values of soybean and cottonseed were 1.55% and 1.93%, respectively. There were significant decreases in the values for the creep rates in the early stage of pressing, and decreases to an insignificant and stabilize value in the later stage.

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基于粒子群优化的大豆和棉籽非线性粘弹塑性本构方程参数辨识

在蠕变试验的基础上，采用理论模型与经验模型相结合的方法，建立了大豆和棉籽的非线性粘弹塑性本构方程。采用改进的粒子群算法，提出了本构模型的参数反演问题。对大豆和棉籽的蠕变进行了数值模拟。提出了榨油临界榨油时间的定义和用蠕变速率确定榨油临界榨油时间的方法。对6种压力下挤压大豆和棉籽的临界压榨时间进行了评价。结果表明，所建立的非线性粘弹塑性本构模型可以很好地模拟大豆和棉籽的流变行为。大豆和棉籽试验值与预测值的平均相对偏差分别为1.55%和1.93%。挤压初期蠕变速率值显著减小，挤压后期蠕变速率值减小到一个不显著的稳定值。

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First International Workshop on Knowledge Discovery and Data Mining (WKDD 2008)

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