Semi-Analytical Solution of the Heat Transfer Including Viscous Dissipation in the Steady Flow of a Sisko Fluid in Cylindrical Tubes

Chaudhuri, Sumanta; Das, Prasanta Kumar

doi:10.1115/1.4039352

Cited by 10 publications

(8 citation statements)

References 30 publications

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“…It is evident from the figure that Nu decreases with an increase in Br. The same trend is also reported in the literature for flow of Newtonian fluids through pipes 41,58 . An increase in Br indicates higher viscous dissipation, resulting in an increase in temperature of the flowing fluid.…”

Section: Resultssupporting

confidence: 87%

“…These fluids show a variety of different characteristics, such as shear thinning/thickening and elastic behavior, which are not shown by Newtonian fluids. Various rheological models 37‐40 are in use for such types of fluids, but third grade fluid (TGF) model is widely used to handle such types of fluids due to its ability to correctly capture various non‐Newtonian effects 41 . In the present work, a TGF flow problem is solved by a semianalytical method: least square method (LSM) 42,43 .…”

Section: Introductionmentioning

confidence: 99%

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Genetic algorithm‐assisted artificial neural network for retrieval of a parameter in a third grade fluid flow through two parallel and heated plates

Mishra

Chaudhuri

2020

Heat Trans

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Genetic algorithm (GA) has been used to determine important attributes of artificial neural network (ANN), such as number of neurons in different hidden layers and division of data for training, validation, and testing. The GA‐assisted ANN (GAAANN) model was used to retrieve third grade fluid (TGF) parameter (A) in a TGF flow problem. The TGF was allowed to flow through two parallel plates, which were subjected to uniform heat flux. The least square method (LSM) was used to solve the governing equations, for specified boundary conditions. In this way, temperature profiles for different values of A were computed by LSM, constituting the direct part of the problem. In the inverse part, the GAAANN model was fed with a temperature profile as input and the corresponding value of A was obtained as output. Four different GAAANN model were developed, and a detailed analysis was done in retrieving the value of A by different GAAANN models. Two very important and commonly used algorithms: Levenberg‐Marquardt (LM) and scaled conjugate gradient are explored for training of the neurons. The entire four GAAANN model were able to retrieve the value of A with different levels of accuracy.

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Section: Resultssupporting

confidence: 87%

Section: Introductionmentioning

confidence: 99%

Genetic algorithm‐assisted artificial neural network for retrieval of a parameter in a third grade fluid flow through two parallel and heated plates

Mishra

Chaudhuri

2020

Heat Trans

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“…Some more recent analysis expressing the rheological mechanism of non-Newtonian materials can be shown in Refs. [6][7][8][9][10] The nano-materials are the materials that contain particles in the size range of 1-100 nm. A lot of research has been done on the properties and studies of nano materials in the last few years because of their wide range of applications in many fields.…”

Section: Introductionmentioning

confidence: 99%

“…Some more recent analysis expressing the rheological mechanism of non-Newtonian materials can be shown in Refs. 6–10…”

Section: Introductionmentioning

confidence: 99%

Slip flow of Jeffrey nanofluid with activation energy and entropy generation applications

Ge-JiLe

Qayyum

Faisal

et al. 2021

Advances in Mechanical Engineering

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The growing development in the thermal engineering and nano-technology, much attention has been paid on the thermal properties of nanoparticles which convey many applications in industrial, technological and medical era of sciences. The noteworthy applications of nano-materials included heat transfer enhancement, thermal energy, solar systems, cooling of electronics, controlling the heat mechanisms etc. Beside this, entropy generation is an optimized scheme which reflects significances in thermodynamics systems to control the higher energy efficiency. On this end, present work presents the slip flow of Jeffrey nanofluid over a stretching sheet with applications of activation energy and viscous dissipation. The entropy generation features along with Bejan number significance is also addressed in present analysis. Buongiorno model of nanofluid is used to discuss the heat and mass transfer. The formulated flow equations are attained into non-dimensional form. An appropriate ND MATHEMATICA built-in scheme is used to find the solution. The solution confirmation is verified by performing the error analysis. For developed flow model and impacted parameters, a comprehensive graphical analysis is performed. It is observed that slip phenomenon is used to decays the velocity profile. Temperature and concentration are in direct relation with Brownian motion parameter and activation energy respectively. Entropy and Bejan number have same results for greater diffusion parameter.

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“…They showed that the effect of viscous dissipation could not be neglected when the wall temperature was uniform. For in-tube thermal conditions, Chaudhuri and Das [6] by using semi-analytical method, Teleszewski [7] for a tube with adiabatic wall and Newtonian fluid, Daghighi and Norouzi [8], and Dang [9] for a constant temperature wall condition, have been studied the effect of viscous dissipation in the thermal input region of a tube.…”

Section: Introductionmentioning

confidence: 99%

Viscous Heating Effects on Heat Transfer Characteristics of an Explosive Fluid in a Converging Pipe

Bagheri

Roosta

Heidari

2020

Period. Polytech. Mech. Eng.

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Viscous dissipation is the production of heat due to the slip of fluid layers and can raise the temperature of the fluid that is affected by high shear stresses. This raise of temperature in fluids with explosive properties can cause the explosion during the processing. The present paper investigates the temperature distribution of an explosive fluid beside the wall of a converging tube. This study has been done by using the computational fluid dynamics and OpenFOAM software. The studied cases contain the fluid with two viscosities (50 and 500 kg/m × s) and two inlet conditions (constant and developed velocity profile). The results of this study show that at the end of a converging pipe, duo to the viscous dissipation effects, the temperature rise for high viscosity fluid is more intensive and this is a dangerous fact for high viscosity explosive fluids discharging. Also, it has been considered that the constant inlet velocity is safer in comparison with the developed profile, as the slope of temperature rise is less.

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Semi-Analytical Solution of the Heat Transfer Including Viscous Dissipation in the Steady Flow of a Sisko Fluid in Cylindrical Tubes

Cited by 10 publications

References 30 publications

Genetic algorithm‐assisted artificial neural network for retrieval of a parameter in a third grade fluid flow through two parallel and heated plates

Genetic algorithm‐assisted artificial neural network for retrieval of a parameter in a third grade fluid flow through two parallel and heated plates

Slip flow of Jeffrey nanofluid with activation energy and entropy generation applications

Viscous Heating Effects on Heat Transfer Characteristics of an Explosive Fluid in a Converging Pipe

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