2023
DOI: 10.1016/j.ijheatmasstransfer.2022.123692
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Thermo-rheological reduced order models for non-Newtonian fluid flows with power-law viscosity via the modal identification method

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Cited by 1 publication
(5 citation statements)
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“…[8] The reduced order model. [12] is chosen as the direct model in the inverse method. Different from the full order finite element model, the reduced order model employs the power law without thermal dependence.…”
Section: Viscosity Identification By Inverse Methodsmentioning
confidence: 99%
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“…[8] The reduced order model. [12] is chosen as the direct model in the inverse method. Different from the full order finite element model, the reduced order model employs the power law without thermal dependence.…”
Section: Viscosity Identification By Inverse Methodsmentioning
confidence: 99%
“…Virtual measurements are generated by a finite element model with « ANSYS POLYFLOW » software. The model is described in the previous study [ 12 ] and it uses the power law (Equation (1)). [ 10,11 ] ηbadbreak=Ktrueγ¯̇n1$$\begin{equation}\eta = K{\dot{\bar{\gamma }}}^{n - 1}\end{equation}$$with η the dynamic viscosity, trueγ¯̇$\dot{\bar{\gamma }}$the generalized shear rate, K the consistency factor and n the pseudo‐plasticity index.…”
Section: Setup Of the Preliminary Numerical Studymentioning
confidence: 99%
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