Abstract

The entropy generation due to heat transfer and fluid friction in mixed convective peristaltic flow of methanol-Al2O3 nano fluid is examined. Maxwell’s thermal conductivity model is used in analysis. Velocity and temperature profiles are utilized in the computation of the entropy generation number. The effects of involved physical parameters on velocity, temperature, entropy generation number, and Bejan number are discussed and explained graphically.

Highlights

  • In the past, much attention has been given to peristalsis caused by sinusoidal waves in channels/tubes

  • In the range 0 < Φ < 1, the heat transfer irreversibility dominates, whereas Φ > 1 indicates that irreversibility is only due to fluid friction

  • These pumping, heating, trapping, and entropy generation characteristics are explained through Figures 2–8

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Summary

Introduction

Much attention has been given to peristalsis caused by sinusoidal waves in channels/tubes. The research topic of entropy generation minimization has acquired special status amongst scientists worldwide. They are re-examining all energy consuming, converting, and producing systems and developing new techniques in order to remove all sources that destroy the available work. Existing literature witnesses that no attention is focused so far on the study of entropy generation on mixed convection [9,40,41,42,43,44] peristaltic flow in the presence of nanoparticles. The entropy generation due to heat transfer and fluid friction in peristaltic flow of methanol-Al2 O3 nano fluid is examined. The effects of involved physical parameters are discussed and explained graphically

Problem Formulation
Entropy Generation Analysis
Results and Discussion
Thermophysical propertiesvolume of methanol
The pressure
The pressure gradient
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