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Acid for Catalytic Polyesterification Simulation for Dry Spinning Process with New Logistic Method of Diffusion Coefficient Dependent on Solvent Concentration and Temperature

机译:依赖于溶剂浓度和温度的扩散系数Logistic新方法对酸法模拟干法纺丝过程中的聚酯聚合反应

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The optimum dry spinning conditions for segmented poly(urethane-urea) (SPUU)-solvent (dimethylacetamide (DMAc)) system, are very important for improvement of the productivity. But it is very difficult to find the optimum conditions by experiments. Therefore, it is desired to be predicted dry spinning process by computer simulation.In the previous works, the diffusion coefficient obtained by the Moiré pattern method has been used for simulation of dry spinning process. The diffusion coefficient gives mutual diffusion for the liquid-liquid system. So, the method cannot cover whole dry spinning process from the spinneret (liquid state) to the take up position (solid state). The state of spinline continuously changes with both solvent concentration and spinline temperature from liquid to solid in a practical process. The state transition points from liquid to semisolid and from semisolid to solid depend on both solvent concentration and temperature. In order to express spinline state continuously changing in practical plant, the authors have tried to simulate the spinline behavior with Hybrid, Logistic and New hybrid methods. Residual solvent concentration simulated by Hybrid method is higher than practical one. The difference between the simulated result and practical one is assumed to be caused by the state transition points of fixed only residual solvent concentration not temperature. Logistic method can predict the closer residual solvent concentration to a practical one than Hybrid method, but the residual solvent concentration simulated by Logistic method is slightly lower than that obtained by practical plant. This small difference is very important for the design of dry spinning chamber and the grasp of optimum dry spinning conditions. New hybrid method expresses the dependence of diffusion coefficient on both solvent concentration and temperature in the spinline, where the whole dry spinning process is divided into five sections with spinline state. New hybrid method can accurately express the state transition points changing with solvent concentration and temperature .The simulated residual solvent concentration is very closer practical plant concentration. But the method have fault as used several diffusion equation with each spinline state. In order to accurately predict residual solvent concentration and easily express diffusion coefficient in continually changing spinline state, New logistic method will be proposed in this paper. The method can express the whole dry spinning process from the spinneret (Dope state) to the Take-up position (Solid state) with one diffusion equation. The simulated residual solvent concentration in spinline is very closer the practical plant solvent concentration than that by the others method.The differences of simulated residual concentration among New logistic method and other ones will be discussed in this study.
机译:分段聚(氨基甲酸酯-脲)(SPUU)-溶剂(二甲基乙酰胺(DMAc))系统的最佳干法纺丝条件对于提高生产率非常重要。但是很难通过实验找到最佳条件。因此,期望通过计算机模拟来预测干纺过程。在先前的工作中,通过莫尔图案法获得的扩散系数已经用于模拟干纺过程。扩散系数给出了液-液系统的相互扩散。因此,该方法不能涵盖从喷丝头(液态)到卷取位置(固态)的整个干法纺丝过程。在实际过程中,纺丝线的状态随着溶剂浓度和纺丝线温度从液体到固体而连续变化。从液体到半固体以及从半固体到固体的状态转变点取决于溶剂浓度和温度。为了表达实际工厂中纺丝状态的不断变化,作者尝试使用Hybrid,Logistic和New hybrid方法来模拟纺丝行为。用混合法模拟的残留溶剂浓度高于实际方法。假定模拟结果与实际结果之间的差异是由仅固定残余溶剂浓度而不是温度的状态转换点引起的。 Logistic方法可以预测比实用方法更接近实际残留溶剂浓度的方法,但是通过Logistic方法模拟得到的残留溶剂浓度比实际工厂获得的残留溶剂浓度稍低。这种小的差异对于干法纺丝室的设计和最佳干法纺丝条件的掌握非常重要。新的混合方法表达了扩散系数对纺丝线中溶剂浓度和温度的依赖性,其中整个干法纺丝过程分为五个纺丝线状态。新的混合方法可以准确地表达状态转换点随溶剂浓度和温度的变化。模拟的残留溶剂浓度非常接近实际工厂浓度。但是该方法存在缺陷,因为在每个旋转线状态下使用多个扩散方程。为了准确预测残留溶剂的浓度并在不断变化的纺丝状态下轻松表达扩散系数,本文提出了一种新的逻辑方法。该方法可以用一个扩散方程表示从喷丝板(纺丝状态)到卷取位置(固态)的整个干法纺丝过程。与其他方法相比,模拟纺丝中残留溶剂的模拟浓度与实际植物溶剂浓度非常接近。本文将讨论New logistic方法与其他方法之间模拟残留浓度的差异。

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