Estimation of slip flow parameters in microscale conjugated heat transfer problems

被引:5
|
作者
Silva, Gessica R. [1 ]
Knupp, Diego C. [1 ]
Naveira-Cotta, Carolina P. [2 ]
Cotta, Renato M. [2 ,3 ]
Silva Neto, Antonio J. [1 ]
机构
[1] Univ Estado Rio De Janeiro, Dept Mech Engn & Energy, LEMA Lab Expt & Numer Simulat Heat & Mass Transfe, Polytech Inst,IPRJ UERJ, Rua Bonfim 25,Vila Amelia, BR-28625570 Nova Friburgo, RJ, Brazil
[2] Univ Fed Rio de Janeiro, Mech Engn Dept PEM, LabMEMS Lab Nano & Microfluid & Microsyst, POLI COPPE,UFRJ, Cx Postal 68503, BR-21945970 Rio De Janeiro, RJ, Brazil
[3] Minist Def, Brazilian Navy, Gen Directorate Nucl & Technol Dev, DGDNTM, Brasilia, DF, Brazil
关键词
Conjugated problem; Slip flow; Temperature jump; Generalized Integral Transform Technique; Single-domain formulation; Internal convection; Bayesian inference; THEORETICAL-EXPERIMENTAL ANALYSIS; INTEGRAL-TRANSFORMS; FORCED-CONVECTION; MICROCHANNELS; TEMPERATURE; FORMULATION; MICROTUBES; CHANNELS;
D O I
10.1007/s40430-020-02328-z
中图分类号
TH [机械、仪表工业];
学科分类号
0802 ;
摘要
In this work, it is proposed the direct and inverse analyses of the forced convection of an incompressible gas flow within rectangular channels in the range of the slip flow regime by taking into account the wall conjugation and the axial conduction effects. The Generalized Integral Transform Technique (GITT) combined with the single-domain reformulation strategy is employed in the direct problem solution of the three-dimensional steady forced convection formulation. A non-classical eigenvalue problem that automatically accounts for the longitudinal diffusion operator is here proposed. The Bayesian framework implemented with the maximum a posteriori objective function is used in the formulation of the inverse problem, whose main objective is to estimate the temperature jump coefficient, the velocity slip coefficient, and the Biot number, using only external temperature measurements, as obtained, for instance, with an infrared measurement system. A comprehensive numerical investigation of possible experimental setups is performed in order to verify the influence of the Biot number, wall thickness, and Knudsen number on the precision of the unknown parameters estimation.
引用
收藏
页数:16
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