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一种修正的线性推动力模型
引用本文:谢连松,奚红霞,赵月春,李忠.一种修正的线性推动力模型[J].华南理工大学学报(自然科学版),2000,28(3):42-47.
作者姓名:谢连松  奚红霞  赵月春  李忠
作者单位:华南理工大学化学工程研究所!广东广州510640
基金项目:国家自然科学基金资助项目 !(29776022),广东省自然科学基金资助项目!(960322)
摘    要:针对目前广泛应用的线性推动力模型在吸附初始阶段相对误差高达-95%的缺点,提出了一种新的浓度分布剖面,并以此为基础建立了修正的LDF(MLDF)模型,当无因次时间等于0.0002时,LDF模型的相对误差高达-94%,而新模型的相对误差仅为9.5%。

关 键 词:吸附  扩散  分离  化工  LDF模型  线性推动力模型
文章编号:1000-565X(2000)03-0042-06
修稿时间:1999-03-24

A New Modified Linear Driving Force Model
XIE Lian_song,XI Hong_xia,ZHAO Yue_chun,LI Zhong.A New Modified Linear Driving Force Model[J].Journal of South China University of Technology(Natural Science Edition),2000,28(3):42-47.
Authors:XIE Lian_song  XI Hong_xia  ZHAO Yue_chun  LI Zhong
Abstract: To overcome the shortcoming that the relative error is up to -95% during the initial period of adsorption for the linear driving force (LDF) model widely used in adsorption, in this paper, a new kind of concentration profile is proposed, and based on it a mo-dified LDF model (MLDF) is deduced. When the dimensionless time is 0.000 2, the relative error of the LDF model is up to -94%, while that of the MLDF model is only 9.5%. Compared with the exact concentration profiles, the parabolic concentration profiles corresponding to the LDF model would lead to negative concentration profiles when the dimensionless time is very small, while the new concentration profiles do not produce negative concentration profiles at all, and are close to the exact concentration profiles. That is to say, the new model is superior to the LDF model.
Keywords:adsorption  diffusion  linear driving force  concentration profile
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