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Published on: October 5, 2018
Entropy Minimization for Generalized Newtonian Fluid Flow between Converging and Diverging Channels
Sohail Rehman1,2, Hashim3, Abdelaziz Nasr4
1School of Material Sciences and Engineering, Georgia Institute of Technology, Atlanta, GA 30318, USA.
This study analyzes entropy generation in hydromagnetic Carreau nanofluid flow through channels. Minimizing entropy, influenced by Brinkman and Reynolds numbers, is key for efficient thermal systems.
Area of Science:
- Thermodynamics
- Fluid Dynamics
- Heat Transfer
- Nanofluids
Background:
- Understanding entropy generation is crucial for optimizing thermal system efficiency.
- Generalized Newtonian Carreau nanofluids and the Buongiorno model are employed.
- The study considers viscous dissipation and Joule heating effects.
Purpose of the Study:
- To investigate entropy generation in hydromagnetic flow of Carreau nanofluid through converging-diverging channels.
- To perform heat transport analysis using the Buongiorno model.
- To optimize entropy generation for enhanced thermal system efficiency.
Main Methods:
- Governing equations modeled using the second law of thermodynamics.
- Dimensional analysis and dimensionless transformations applied.
- Numerical solutions obtained via Runge-Kutta Fehlberg method with shooting technique.
Main Results:
- Entropy generation increases with higher Brinkman and Reynolds numbers.
- Entropy production is higher near channel walls (heat transfer irreversibility) than the center (frictional irreversibility).
- Velocity, temperature, concentration, entropy production, and Bejan number profiles were analyzed.
Conclusions:
- The findings provide insights into entropy generation mechanisms in nanofluid flow.
- Minimizing entropy generation is essential for improving thermal system performance.
- Results guide the design and optimization of converging-diverging channels for heat transfer applications.
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