IDQ two-dimensional nonlinear transient heat transfer analysis of variable section annular fins

2007 ◽  
Vol 48 (1) ◽  
pp. 269-276 ◽  
Author(s):  
P. Malekzadeh ◽  
H. Rahideh
Keyword(s):  
Heat Transfer ◽  
Heat Transfer Analysis ◽  
Transient Heat Transfer ◽  
Two Dimensional ◽  
Variable Section ◽  
Nonlinear Transient ◽  
Annular Fins

Transient heat-transfer analysis for sub-scale noz...

2005 ◽  
Author(s):  
Dr. Jae-Seok Yoo ◽  
Mr. Byung-Hun Kim ◽  
Dr. Young-Soon Jang ◽  
Dr. Yeong-Moo Yi
Keyword(s):  
Heat Transfer ◽  
Heat Transfer Analysis ◽  
Transient Heat Transfer

Full-Scale Bounds Estimation for the Nonlinear Transient Heat Transfer Problems with Interval Uncertainties

2021 ◽  
pp. 2150026
Author(s):  
Ruifei Peng ◽  
Haitian Yang ◽  
Yanni Xue
Keyword(s):  
Heat Transfer ◽  
Series Expansion ◽  
Taylor Series ◽  
Taylor Series Expansion ◽  
Transient Heat Transfer ◽  
High Fidelity ◽  
Interval Scale ◽  
Nonlinear Transient ◽  
Transfer Problems ◽  
Derivatives Of

A package solution is presented for the full-scale bounds estimation of temperature in the nonlinear transient heat transfer problems with small or large uncertainties. When the interval scale is relatively small, an efficient Taylor series expansion-based bounds estimation of temperature is stressed on the acquirement of first and second-order derivatives of temperature with high fidelity. When the interval scale is relatively large, an optimization-based approach in conjunction with a dimension-adaptive sparse grid (DSG) surrogate is developed for the bounds estimation of temperature, and the heavy computational burden of repeated deterministic solutions of nonlinear transient heat transfer problems can be efficiently alleviated by the DSG surrogate. A temporally piecewise adaptive algorithm with high fidelity is employed to gain the deterministic solution of temperature, and is further developed for recursive adaptive computing of the first and second-order derivatives of temperature. Therefore, the implementation of Taylor series expansion and the construction of DSG surrogate are underpinned by a reliable numerical platform. The parallelization is utilized for the construction of DSG surrogate for further acceleration. The accuracy and efficiency of the proposed approaches are demonstrated by two numerical examples.

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