Type
ArticleAuthors
Wáng, YìYu, Bo
Sun, Shuyu

KAUST Department
Computational Transport Phenomena LabEarth Science and Engineering Program
Environmental Science and Engineering Program
Physical Science and Engineering (PSE) Division
Date
2012-03-14Online Publication Date
2012-03-14Print Publication Date
2012-04Permanent link to this record
http://hdl.handle.net/10754/562128
Metadata
Show full item recordAbstract
A reduced model by proper orthogonal decomposition (POD) and Galerkin projection methods for steady-state heat convection is established on a nonuniform grid. It was verified by thousands of examples that the results are in good agreement with the results obtained from the finite volume method. This model can also predict the cases where model parameters far exceed the sample scope. Moreover, the calculation time needed by the model is much shorter than that needed for the finite volume method. Thus, the nonuniform POD-Galerkin projection method exhibits high accuracy, good suitability, and fast computation. It has universal significance for accurate and fast prediction. Also, the methodology can be applied to more complex modeling in chemical engineering and technology, such as reaction and turbulence. © 2012 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim.Citation
Wang, Y., Yu, B., & Sun, S. (2012). Fast Prediction Method for Steady-State Heat Convection. Chemical Engineering & Technology, 35(4), 668–678. doi:10.1002/ceat.201100428Sponsors
The study is supported by the National Natural Science Foundation of China (No. 51176204 and No. 51134006), and the State Key Laboratory of Multiphase Flow in Power Engineering (Xi'an Jiaotong University).Publisher
Wileyae974a485f413a2113503eed53cd6c53
10.1002/ceat.201100428