.png){kind=icon}
返回
Efficient simulation of chromatographic separation processes
.png){kind=icon}
OA
AI
DOI：10.1016/j.compchemeng.2017.12.006.png)
.png){kind=icon}
.png){kind=icon}
分享.png){kind=icon}
收藏
摘要
En 中文
This work presents the development and testing of an efficient, high resolution algorithm developed for the solution of equilibrium and non-equilibrium chromatographic problems as a means of simultaneously producing high fidelity predictions with a minimal increase in computational cost. The method involves the coupling of a high-order WENO scheme, adapted for use on non-uniform grids, with a piecewise adaptive grid (PAG) method to reduce runtime while accurately resolving the sharp gradients observed in the processes under investigation. Application of the method to a series of benchmark chromatographic test cases, within which an increasing number of components are included over short and long spatial domains and containing shocks, shows that the method is able to accurately resolve the discontinuities and that the use of the PAG method results in a reduction in the CPU runtime of up to 90%, without degradation of the solution, relative to an equivalent uniform grid. (c) 2017 ElsevierLtd. All rights reserved.
Keyword:
Column chromatography
WENO scheme
Adaptive mesh refinement
AI总结
对已上传原文的论文进行重点信息的提取，主要内容包括：简要概述、研究摘要、背景介绍、关键亮点、图文解析、展望与总结。
期刊
C
IF:
3.9
论文数:
8.1K
被引数:
1.7W
机构
引用论文
.png){kind=icon}
Accelerating optimization and uncertainty quantification of nonlinear SMB chromatography using reduced-order models使用降阶模型加速非线性SMB色谱的优化和不确定性量化OAAI
OAAI分享收藏分享收藏
查看更多内容