首页> 外文会议>International Symposium on Advances in Computational Heat Transfer >NONLINEAR EIGENVALUE PROBLEM APPROACH IN THE INTEGRAL TRANSFORMS ANALYSIS OF METAL SEPARATION BY POLYMERIC DIFFUSIVE MEMBRANES
【24h】

NONLINEAR EIGENVALUE PROBLEM APPROACH IN THE INTEGRAL TRANSFORMS ANALYSIS OF METAL SEPARATION BY POLYMERIC DIFFUSIVE MEMBRANES

机译:聚合物扩散膜的整体转化分析中的非线性特征值问题方法

获取原文

摘要

The Generalized Integral Transform Technique (GITT) is a well-established tool in the hybrid numerical-analytical solution of various classes of nonlinear diffusion and convection-diffusion problems. Quite recently, a variant in the GITT approach has been advanced, based on retaining the original nonlinear operator coefficients in the eigenvalue problem proposition, and has been demonstrated in diffusion problems with nonlinear boundary conditions, illustrating the relative gains in convergence enhancement. The present work further demonstrates this nonlinear eigenvalue problem path in the GITT approach, by considering a mass transfer application of metal extraction through a polymeric hollow fiber membrane with diffusive separation. The methodology is here illustrated for this convection-diffusion problem with nonlinear boundary condition coefficient. The novel approach is then critically compared to the methodology employing a linear eigenvalue problem basis, for typical parametric values, but with an alternative convergence enhancement approach based on a nonlinear filter, so as to also demonstrate its convergence enhancement effect with an eventually increased computational effort for a fixed truncation order.
机译:广义整体变换技术(GITT)是各种非线性扩散和对流扩散问题的混合数值分析解决方案中的良好良好的工具。最近,基于在特征值问题主张中的原始非线性操作员系数的基于保持原始非线性操作员系数的基准接近的变型,并且已经在具有非线性边界条件的扩散问题中进行了证明,说明了收敛增强的相对增益。通过考虑通过具有扩散分离的聚合物中空纤维膜的质量转移施加金属萃取,本作者进一步证明了GITT方法中的这种非线性特征值问题路径。这里示出了具有非线性边界条件系数的该对流扩散问题的方法。然后,新的方法与采用线性特征值问题的方法进行统治性地,用于典型的参数值,但是基于非线性滤波器的替代收敛增压方法,以展示其收敛增强效果与最终增加的计算工作对于固定截断顺序。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号