2015
DOI: 10.7726/ajhmt.2015.1009
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Food Extrusion Energy Conversion Conjugate Ohmic Heat and Mass Transfer for Stagnation Non-Newtonian Fluid Flow with Physical Multimedia Features

Abstract: The energy conversion conjugate conduction-convection Ohmic mixed heat and mass transfer of an incompressible viscoelastic fluid on thermal forming stretching sheet has been studied. The present study has been applied similarity transformation method to change the partial differential equations transform to a set of nonlinear ordinary differential equations, and it has also been used an implicit finite-difference method to solve the system's equations. The numerical calculating results for the conjugate heat t… Show more

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Cited by 2 publications
(2 citation statements)
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“…It is good to mention that this is a very standard process of validating a numerical code with the existing literature. This process can be found in any ISI journals including American Journal of Heat and Mass Transfer (for example Daniel, 2015;Lin and Hsiao, 2015). …”
Section: Numerical Proceduresmentioning
confidence: 99%
“…It is good to mention that this is a very standard process of validating a numerical code with the existing literature. This process can be found in any ISI journals including American Journal of Heat and Mass Transfer (for example Daniel, 2015;Lin and Hsiao, 2015). …”
Section: Numerical Proceduresmentioning
confidence: 99%
“…The resulting problem was then solved analytically to yield the eigenvalues and eigenvectors. Hua and Kai-Long (2015) studied energy conversion conjugate conduction-convection Ohmic mixed heat and mass transfer of an incompressible viscoelastic fluid on thermal forming stretching by using a similarity transformation method to change the partial differential equations transform to a set of nonlinear ordinary differential equations, and it has also been used an implicit finite-difference method to solve the system's equations. Belkacem et al (2014) studied the effect of nanofluid for heat transfer on laminar forced convection internal flow.…”
Section: Introductionmentioning
confidence: 99%