| 超临界CO2在聚合物中的溶解计算研究进展 |
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| 引用本文： | 李孟山,黄兴元,柳和生,陈炳生,袁寿财. 超临界CO2在聚合物中的溶解计算研究进展[J]. 化学通报, 2016, 79(7): 610-615 |
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| 作者姓名： | 李孟山 黄兴元 柳和生 陈炳生 袁寿财 |
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| 作者单位： | 赣南师范学院物理与电子信息学院,南昌大学机电工程学院,南昌大学机电工程学院,赣南师范学院物理与电子信息学院,赣南师范学院物理与电子信息学院 |
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| 基金项目： | 国家自然科学基金(51163011, 51102131, 51377025) |
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| 摘 要： | 本文以超临界CO2在聚合物中的溶解计算模型为例,综述了状态方程、经验方程和人工神经网络计算方法的实现原理、研究现状和优缺点;依据人工神经网络预测方法存在的问题,重点阐述基于混合智能方法的神经网络溶解计算模型;并对溶解计算研究进行了总结和展望。
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| 关 键 词： | 溶解计算 聚合物 混合神经网络 状态方程 经验方程 |
| 收稿时间： | 2015-11-09 |
| 修稿时间： | 2015-12-30 |
Research Progress of Prediction of supercritical carbon dioxide solubility in polymers |
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| LI Meng-Shan,HUANG Xing-Yuan,LIU He-Sheng,CHEN Bing-SHENG and YUAN Shou-Cai. Research Progress of Prediction of supercritical carbon dioxide solubility in polymers[J]. Chemistry, 2016, 79(7): 610-615 |
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| Authors: | LI Meng-Shan HUANG Xing-Yuan LIU He-Sheng CHEN Bing-SHENG YUAN Shou-Cai |
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| Abstract: | As the beloved of green medium, supercritical carbon dioxide (CO2) is the important materials for environmental pollution and green chemistry, its solubility property is widely used for extraction separation, polymer modification, polymer blending, microcellular foaming, particle production and polymerization, etc. In this review, the prediction methods of supercritical CO2 solubility in polymers such as equations of state, empirical equation and artificial neural networks are summarized, and the details of their implementation principle, progress, merits and faults are discussed. Motivated and inspired by the problems of the artificial neural networks, the solubility prediction models based on hybird artificial neural networks are discussed. Then the prospect of solubility prediction is proposed. |
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| Keywords: | Solubility Prediction Polymer Hybrid Neural Network Equation of State Empirical Equation |
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