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Submit a ProposalNanofluid Heat Transfer
One Line Description
Future-proof your thermal system designs with this essential guide, providing a comprehensive, cutting-edge exploration of nanofluids to drive innovation and efficiency in heat transfer.
Audience
Academics, researchers, and professionals involved with mechanical and automobile engineering, aerospace engineering, chemical engineering, applied mathematics, and electronic cooling.
Academics, researchers, and professionals involved with mechanical and automobile engineering, aerospace engineering, chemical engineering, applied mathematics, and electronic cooling.
Description
The development and application of nanofluids aligns with the broader trend towards miniaturization and higher efficiency in thermal systems. As industries continue to push the boundaries of performance and efficiency, the integration of nanofluids into thermal management solutions represents a forward-thinking approach that addresses these demands. In the context of disciplinary development, the study of nanofluids is situated at the intersection of nanotechnology, materials science, and thermal engineering. The unique properties of nanofluids have prompted extensive research aimed at understanding their behavior and optimizing their use in practical applications. This book contributes to this growing body of knowledge by providing comprehensive insights into the preparation, stability, and thermophysical properties of nanofluids. It also explores advanced computational models and experimental techniques essential for predicting and analyzing the heat transfer performance of nanofluids. This book, by providing a detailed exploration of the theoretical and practical aspects of nanofluids, serves as a valuable resource for researchers, engineers, and industry professionals aiming to harness the potential of this cutting-edge technology to drive innovation and efficiency in thermal systems.
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The development and application of nanofluids aligns with the broader trend towards miniaturization and higher efficiency in thermal systems. As industries continue to push the boundaries of performance and efficiency, the integration of nanofluids into thermal management solutions represents a forward-thinking approach that addresses these demands. In the context of disciplinary development, the study of nanofluids is situated at the intersection of nanotechnology, materials science, and thermal engineering. The unique properties of nanofluids have prompted extensive research aimed at understanding their behavior and optimizing their use in practical applications. This book contributes to this growing body of knowledge by providing comprehensive insights into the preparation, stability, and thermophysical properties of nanofluids. It also explores advanced computational models and experimental techniques essential for predicting and analyzing the heat transfer performance of nanofluids. This book, by providing a detailed exploration of the theoretical and practical aspects of nanofluids, serves as a valuable resource for researchers, engineers, and industry professionals aiming to harness the potential of this cutting-edge technology to drive innovation and efficiency in thermal systems.
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Author / Editor Details
Mukesh Kumar Awasthi, PhD is an Assistant Professor in the Department of Mathematics at Babasaheb Bhimrao Ambedkar University. He has published more than 125 research articles in journals and book chapters, as well as more than 10 books. His areas of interest include fluid mechanics, discrete mathematics, partial differential equations, abstract algebra, mathematical methods, and measure theory.
Mukesh Kumar Awasthi, PhD is an Assistant Professor in the Department of Mathematics at Babasaheb Bhimrao Ambedkar University. He has published more than 125 research articles in journals and book chapters, as well as more than 10 books. His areas of interest include fluid mechanics, discrete mathematics, partial differential equations, abstract algebra, mathematical methods, and measure theory.
Reshu Gupta, PhD is an Assistant Professor in the Applied Science Cluster at the University of Petroleum and Energy Studies with more than 20 years of teaching experience. She published several papers in journals and conference proceedings and has created curricula in the fields of life and social skills. Her research focuses on fluid dynamics, differential equations, heat, and mass transfer, nanofluids, entropy, and artificial neural networks.
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Table of Contents
Aim and Scope
Preface
Acknowledgement
List of Contributors
1. Introduction to Nanofluids
K. Manjula
1.1 General Introduction to Nanofluid
1.2 Origin of Nanofluids
1.3 Principles of Nanofluids
1.4 Synthesis of Nanofluids
1.4.1 Heat Transfer Performance of Nanofluid
1.5 Properties of Nanofluids
1.5.1 Optical Qualities of Nanofluids
1.5.2 Thermal Properties of Nanofluids
1.5.3 Nanofluid Medical Approaches
1.6 Applications of Nanofluids
1.7 Conclusions
References
2. Nanofluid Technology: Fundamentals, Properties, and Engineering Applications
Ankur Kumar Sarma, Dipak Sarma and Sunmoni Mudoi
2.1 Overview
2.2 Methods of Preparation of Nanofluid
2.3 Classification of Nanofluids
2.3.1 Based on Types of Nanoparticles
2.3.2 Based on Base Fluids
2.3.3 Based on One-Phase and Two-Phase Models
2.3.4 Based on Nanoparticle Shape
2.3.5 Based on Dispersion Stability
2.3.6 Based on Functionalization or Cooling
2.4 Methods of Stabilization of Nanofluid
2.5 Properties of Nanofluids
2.6 Applications of Nanofluids
2.7 Advantages of Nanofluids
2.8 Disadvantages of Nanofluids
2.9 Future Outlook
2.10 Conclusion
References
3. Fundamentals of Heat Transfer
Abhijit Pattnayak and Krishna Priyadarshini Das
3.1 Introduction
3.2 Primary Modes of Heat Transfer
3.2.1 Conduction
3.2.1.1 Heat Conduction through a Composite Wall
3.2.2 Convection
3.2.3 Generalized Heat Transfer Equation
3.2.4 Radiation
3.2.4.1 Black Body and Related Terms
3.2.5 Heat Transfer in Nanofluids
3.2.6 Case Studies in Recent Years
3.2.7 Challenges in Nanofluids
3.3 Summary
References
4. Thermophysical Properties of Nanofluid
Atul Bhattad and Mohamed M. Awad
Nomenclature
Abbreviations
Greek Letters
Subscripts
4.1 Introduction
4.2 Thermal Conductivity of Nanofluid
4.2.1 Thermal Conductivity Measurement Device
4.2.2 Thermal Conductivity Correlations
4.3 Viscosity of Nanofluid
4.3.1 Viscosity Measurement Device
4.3.2 Viscosity Correlations
4.4 Density of Nanofluid
4.4.1 Density Measurement Device
4.4.2 Density Correlations
4.5 Specific Heat of Nanofluid
4.5.1 Specific Heat Measurement Device
4.5.2 Specific Heat Correlations
4.6 Important Findings with Explanations
4.7 Applications, Benefits, and Drawbacks
4.8 Highlights
References
5. Preparation and Stability of Nanofluids
Atul Bhattad and Mohamed M. Awad
Nomenclature
Abbreviation
Greek Letter
Subscripts
5.1 Introduction
5.2 Nanofluid Preparation
5.3 Nanofluid Characterization
5.4 Nanofluid Stability
5.5 Important Findings
5.6 Highlights
References
6. Thermophysical Characteristics and Analysis of Nanofluids
R. Gangadevi and S. Senthil Raja
Nomenclature
Subscript
6.1 Introduction
6.2 Bibliometric Analysis
6.3 Nanofluid Thermal Conductivity
6.3.1 Steady-State Thermal Conductivity Measurement Technique
6.3.1.1 Guarded Hot Plate Method
6.3.1.2 Merits of GHP Method
6.3.1.3 Demerits of GHP Method
6.3.2 Transient Thermal Conductivity Measurement Technique
6.3.2.1 Transient Hot Wire Method
6.3.3 Numerical Models of Thermal Conductivity Analysis
6.4 Nanofluid Viscosity Measurement
6.4.1 Numerical Models for Viscosity Analysis
6.5 Specific Heat Capacity
6.6 Conclusions
References
7. Advanced Nanofluids for Efficient Electronics Cooling
Rashi Bhargava, Ankit Agrawal and Kanchan Bhardwaj
7.1 Introduction
7.2 Importance of Electronics Cooling
7.3 Challenges in Traditional Cooling Methods
7.4 Thermal Properties of Nanofluids
7.5 Applications of Nanofluids in Electronics Cooling
7.6 Advantages of Nanofluids in Electronics Cooling
7.7 Challenges and Considerations
7.8 Future Prospects and Research Directions
7.9 Conclusion
References
8. Arrhenius Kinetics in Ternary Hybrid Nanofluid Flow
Nagendramma, V. and Kavya, S.
Nomenclature
Subscripts
8.1 Introduction
8.2 Modeling of the Physical Problem
8.3 Problem Solution
8.3.1 Numerical Methodology
8.3.2 Numerical Validation
8.4 Graphical Discussion and Outcomes
8.5 Conclusion
References
9. Two-Phase Fluid Flow Over a Stretching Sheet
Aswin Kumar Rauta
Nomenclature
9.1 Introduction
9.1.1 Novelty of the Study
9.2 Geometry of the Problem and Flow Analysis
9.3 Governing Differential Equations
9.4 Solution Procedure
9.5 Interpretation of the Results
9.6 Summary of the Study
References
10. MHD Flow of Burgers’ Fluid with Nanoparticles
V. Nagendramma
10.1 Introduction
10.2 Non-Newtonian Burgers’ Fluid Rheological Model
10.3 Mathematical Formulation
10.4 Method of Solution
10.5 Results and Discussion
10.6 Conclusions
References
11. Computational Modeling of Blood-Based Tetrahybrid Nanofluid
Bhagyashri Patgiri and Neelav Sarma
Nomenclature
11.1 Introduction
11.2 Mathematical Formulation
11.3 Fluid Characteristics
11.3.1 Thermophysical Properties
11.3.2 Thermophysical Relationships
11.4 Dimensionless Transformation
11.5 Engineering Optimization Metrics
11.6 Results and Discussion
11.7 Conclusion
References
12. Nanofluid Heat Exchangers
Atul Bhattad and Mohamed M. Awad
Nomenclature
Abbreviations
Greek Letters
Subscripts
12.1 Introduction
12.2 Test Setup and Procedure
12.3 Data Analyses
12.4 Results and Discussion
12.5 Limitations and Challenges of Hybrid Nanofluids
12.6 Highlights
References
13. Entropy Analysis of Yamada–Ota Model–Based Ree–Eyring Nanofluid Flow
Tusar Kanti Das, Jintu Mani Nath and Mulinti Vinodkumar Reddy
Nomenclature
Greek Symbols
13.1 Introduction
13.2 Mathematical Problem
13.3 Methodology
13.4 Validation
13.5 Results and Discussion
13.6 Conclusions
References
14. Innovations in Industrial Nanofluid Heat Transfer
Tayyaba Akhtar, Muhammad Abid and Mohamed M. Awad
14.1 Introduction
14.2 Advancements in Nanoparticle Selection
14.2.1 Diverse Nanoparticle Types
14.2.1.1 Metallic Nanoparticles
14.2.1.2 Nonmetallic Nanoparticles
14.2.2 Impact of Particle Size and Shape
14.3 Enhanced Base Fluids and Formulations
14.3.1 Selection of Base Fluids
14.3.2 Hybrid Nanofluids
14.4 Improved Heat Transfer Mechanisms
14.5 Practical Challenges in Implementation
14.6 Industrial Applications
14.6.1 Electronics Cooling
14.6.2 Automotive Industry
14.7 Case Studies on Successful Industrial Implementations
14.7.1 Enhancing Thermal Management in High-Performance Computing
14.7.2 Optimizing Engine Cooling with Hybrid Nanofluids
14.7.3 Improving Efficiency in Solar PV/T Systems
14.7.4 Enhancing Heat Exchangers in Thermal Power Plants
14.7.5 Conclusion of Case Studies
14.8 Computational and Simulation Approaches in Nanofluid Research
14.8.1 Computational Fluid Dynamics: Modeling Flow and Heat Transfer
14.8.2 Molecular Dynamics Simulations: Understanding Nanoparticle Behavior
14.8.3 Hybrid Modeling Approaches: Combining Techniques for Improved Accuracy
14.8.4 Machine Learning and Data-Driven Modeling in Nanofluid Research
14.8.5 Conclusion of Computational and Simulation Approaches
14.9 Future Directions
14.10 Conclusion
References
15. Radiative Heat Transfer in Nanofluids
Abdulhalim Musa Abubakar, Issam Ferhoune, E.M. Mansour, and Wisdom Chukwuemeke Ulakpa
15.1 Introduction
15.2 Radiative Properties of Conventional Fluids
15.3 Nanofluids: Composition and Properties
15.3.1 Definition and Types of Nanofluids
15.3.2 Influence of Nanoparticle Dispersion on Fluid Properties
15.4 Mechanisms of Radiative Heat Transfer in Nanofluids
15.5 Computational Modeling of Radiative Transfer in Nanofluids
15.5.1 Numerical Methods for Radiative Transfer in Nanofluids
15.5.2 Integration of Computational Models with Experimental Data
15.6 Experimental Studies on Radiative Heat Transfer in Nanofluids
15.7 Applications of Radiative Heat Transfer in Nanofluids
15.7.1 Energy Systems and Thermal Management
15.7.2 Cooling Technologies and Industrial Processes
15.7.3 Emerging Applications in Advanced Technologies
15.8 Opportunities for Advancing Nanofluid Technologies
15.8.1 Famous Research Impediments Reported
15.9 Conclusion
References
16. Thermal Radiation, Chemical Reaction, and Dufour Effects in Nanofluids
Dibya Jyoti Saikia, Puja Haloi and Nazibuddin Ahmed
16.1 Introduction
16.2 Mathematical Formulation
16.3 Solution of the Flow Issue
16.3.1 Skin Friction
16.3.2 Nusselt Number
16.3.3 Sherwood Number
16.4 Results and Discussion
16.5 Conclusion
References
17. Bioconvective Flow of Casson Nanofluid
Sanjalee Maheshwari, Ankita Bisht and Amit Sharma
17.1 Introduction
17.2 Mathematical Modeling
17.3 Solution Methodology
17.4 Outcomes and Discussion
17.5 Concluding Remarks
References
18. Heat Transfer Examination of an Unsteady Radiating Non-Newtonian Flow Conveying Different Nanoparticles Over a Permeable Elongating Sheet
Abderrahim Wakif
18.1 Introduction
18.2 Mathematical Formulation
18.3 Numerical Procedure and Accuracy of Results
18.4 Results and Discussion
18.5 Final Outcomes
Acknowledgements
References
19. Advanced Stochastic Modeling of Ternary Nanofluid Flow Over Rotating Parallel Plates
G.K. Ramesh, J.K. Madhukesh and Umair Khan
19.1 Introduction
19.2 Research Methodology
19.2.1 Thermophysical Properties
19.2.2 Numerical Scheme
19.3 Results and Discussion
19.3.1 Analysis of Results
19.3.2 Discussion and Justification of Results
19.4 ANN Modeling
19.5 Final Remarks
References
About the Editors
Index
Back to Top
Aim and Scope
Preface
Acknowledgement
List of Contributors
1. Introduction to Nanofluids
K. Manjula
1.1 General Introduction to Nanofluid
1.2 Origin of Nanofluids
1.3 Principles of Nanofluids
1.4 Synthesis of Nanofluids
1.4.1 Heat Transfer Performance of Nanofluid
1.5 Properties of Nanofluids
1.5.1 Optical Qualities of Nanofluids
1.5.2 Thermal Properties of Nanofluids
1.5.3 Nanofluid Medical Approaches
1.6 Applications of Nanofluids
1.7 Conclusions
References
2. Nanofluid Technology: Fundamentals, Properties, and Engineering Applications
Ankur Kumar Sarma, Dipak Sarma and Sunmoni Mudoi
2.1 Overview
2.2 Methods of Preparation of Nanofluid
2.3 Classification of Nanofluids
2.3.1 Based on Types of Nanoparticles
2.3.2 Based on Base Fluids
2.3.3 Based on One-Phase and Two-Phase Models
2.3.4 Based on Nanoparticle Shape
2.3.5 Based on Dispersion Stability
2.3.6 Based on Functionalization or Cooling
2.4 Methods of Stabilization of Nanofluid
2.5 Properties of Nanofluids
2.6 Applications of Nanofluids
2.7 Advantages of Nanofluids
2.8 Disadvantages of Nanofluids
2.9 Future Outlook
2.10 Conclusion
References
3. Fundamentals of Heat Transfer
Abhijit Pattnayak and Krishna Priyadarshini Das
3.1 Introduction
3.2 Primary Modes of Heat Transfer
3.2.1 Conduction
3.2.1.1 Heat Conduction through a Composite Wall
3.2.2 Convection
3.2.3 Generalized Heat Transfer Equation
3.2.4 Radiation
3.2.4.1 Black Body and Related Terms
3.2.5 Heat Transfer in Nanofluids
3.2.6 Case Studies in Recent Years
3.2.7 Challenges in Nanofluids
3.3 Summary
References
4. Thermophysical Properties of Nanofluid
Atul Bhattad and Mohamed M. Awad
Nomenclature
Abbreviations
Greek Letters
Subscripts
4.1 Introduction
4.2 Thermal Conductivity of Nanofluid
4.2.1 Thermal Conductivity Measurement Device
4.2.2 Thermal Conductivity Correlations
4.3 Viscosity of Nanofluid
4.3.1 Viscosity Measurement Device
4.3.2 Viscosity Correlations
4.4 Density of Nanofluid
4.4.1 Density Measurement Device
4.4.2 Density Correlations
4.5 Specific Heat of Nanofluid
4.5.1 Specific Heat Measurement Device
4.5.2 Specific Heat Correlations
4.6 Important Findings with Explanations
4.7 Applications, Benefits, and Drawbacks
4.8 Highlights
References
5. Preparation and Stability of Nanofluids
Atul Bhattad and Mohamed M. Awad
Nomenclature
Abbreviation
Greek Letter
Subscripts
5.1 Introduction
5.2 Nanofluid Preparation
5.3 Nanofluid Characterization
5.4 Nanofluid Stability
5.5 Important Findings
5.6 Highlights
References
6. Thermophysical Characteristics and Analysis of Nanofluids
R. Gangadevi and S. Senthil Raja
Nomenclature
Subscript
6.1 Introduction
6.2 Bibliometric Analysis
6.3 Nanofluid Thermal Conductivity
6.3.1 Steady-State Thermal Conductivity Measurement Technique
6.3.1.1 Guarded Hot Plate Method
6.3.1.2 Merits of GHP Method
6.3.1.3 Demerits of GHP Method
6.3.2 Transient Thermal Conductivity Measurement Technique
6.3.2.1 Transient Hot Wire Method
6.3.3 Numerical Models of Thermal Conductivity Analysis
6.4 Nanofluid Viscosity Measurement
6.4.1 Numerical Models for Viscosity Analysis
6.5 Specific Heat Capacity
6.6 Conclusions
References
7. Advanced Nanofluids for Efficient Electronics Cooling
Rashi Bhargava, Ankit Agrawal and Kanchan Bhardwaj
7.1 Introduction
7.2 Importance of Electronics Cooling
7.3 Challenges in Traditional Cooling Methods
7.4 Thermal Properties of Nanofluids
7.5 Applications of Nanofluids in Electronics Cooling
7.6 Advantages of Nanofluids in Electronics Cooling
7.7 Challenges and Considerations
7.8 Future Prospects and Research Directions
7.9 Conclusion
References
8. Arrhenius Kinetics in Ternary Hybrid Nanofluid Flow
Nagendramma, V. and Kavya, S.
Nomenclature
Subscripts
8.1 Introduction
8.2 Modeling of the Physical Problem
8.3 Problem Solution
8.3.1 Numerical Methodology
8.3.2 Numerical Validation
8.4 Graphical Discussion and Outcomes
8.5 Conclusion
References
9. Two-Phase Fluid Flow Over a Stretching Sheet
Aswin Kumar Rauta
Nomenclature
9.1 Introduction
9.1.1 Novelty of the Study
9.2 Geometry of the Problem and Flow Analysis
9.3 Governing Differential Equations
9.4 Solution Procedure
9.5 Interpretation of the Results
9.6 Summary of the Study
References
10. MHD Flow of Burgers’ Fluid with Nanoparticles
V. Nagendramma
10.1 Introduction
10.2 Non-Newtonian Burgers’ Fluid Rheological Model
10.3 Mathematical Formulation
10.4 Method of Solution
10.5 Results and Discussion
10.6 Conclusions
References
11. Computational Modeling of Blood-Based Tetrahybrid Nanofluid
Bhagyashri Patgiri and Neelav Sarma
Nomenclature
11.1 Introduction
11.2 Mathematical Formulation
11.3 Fluid Characteristics
11.3.1 Thermophysical Properties
11.3.2 Thermophysical Relationships
11.4 Dimensionless Transformation
11.5 Engineering Optimization Metrics
11.6 Results and Discussion
11.7 Conclusion
References
12. Nanofluid Heat Exchangers
Atul Bhattad and Mohamed M. Awad
Nomenclature
Abbreviations
Greek Letters
Subscripts
12.1 Introduction
12.2 Test Setup and Procedure
12.3 Data Analyses
12.4 Results and Discussion
12.5 Limitations and Challenges of Hybrid Nanofluids
12.6 Highlights
References
13. Entropy Analysis of Yamada–Ota Model–Based Ree–Eyring Nanofluid Flow
Tusar Kanti Das, Jintu Mani Nath and Mulinti Vinodkumar Reddy
Nomenclature
Greek Symbols
13.1 Introduction
13.2 Mathematical Problem
13.3 Methodology
13.4 Validation
13.5 Results and Discussion
13.6 Conclusions
References
14. Innovations in Industrial Nanofluid Heat Transfer
Tayyaba Akhtar, Muhammad Abid and Mohamed M. Awad
14.1 Introduction
14.2 Advancements in Nanoparticle Selection
14.2.1 Diverse Nanoparticle Types
14.2.1.1 Metallic Nanoparticles
14.2.1.2 Nonmetallic Nanoparticles
14.2.2 Impact of Particle Size and Shape
14.3 Enhanced Base Fluids and Formulations
14.3.1 Selection of Base Fluids
14.3.2 Hybrid Nanofluids
14.4 Improved Heat Transfer Mechanisms
14.5 Practical Challenges in Implementation
14.6 Industrial Applications
14.6.1 Electronics Cooling
14.6.2 Automotive Industry
14.7 Case Studies on Successful Industrial Implementations
14.7.1 Enhancing Thermal Management in High-Performance Computing
14.7.2 Optimizing Engine Cooling with Hybrid Nanofluids
14.7.3 Improving Efficiency in Solar PV/T Systems
14.7.4 Enhancing Heat Exchangers in Thermal Power Plants
14.7.5 Conclusion of Case Studies
14.8 Computational and Simulation Approaches in Nanofluid Research
14.8.1 Computational Fluid Dynamics: Modeling Flow and Heat Transfer
14.8.2 Molecular Dynamics Simulations: Understanding Nanoparticle Behavior
14.8.3 Hybrid Modeling Approaches: Combining Techniques for Improved Accuracy
14.8.4 Machine Learning and Data-Driven Modeling in Nanofluid Research
14.8.5 Conclusion of Computational and Simulation Approaches
14.9 Future Directions
14.10 Conclusion
References
15. Radiative Heat Transfer in Nanofluids
Abdulhalim Musa Abubakar, Issam Ferhoune, E.M. Mansour, and Wisdom Chukwuemeke Ulakpa
15.1 Introduction
15.2 Radiative Properties of Conventional Fluids
15.3 Nanofluids: Composition and Properties
15.3.1 Definition and Types of Nanofluids
15.3.2 Influence of Nanoparticle Dispersion on Fluid Properties
15.4 Mechanisms of Radiative Heat Transfer in Nanofluids
15.5 Computational Modeling of Radiative Transfer in Nanofluids
15.5.1 Numerical Methods for Radiative Transfer in Nanofluids
15.5.2 Integration of Computational Models with Experimental Data
15.6 Experimental Studies on Radiative Heat Transfer in Nanofluids
15.7 Applications of Radiative Heat Transfer in Nanofluids
15.7.1 Energy Systems and Thermal Management
15.7.2 Cooling Technologies and Industrial Processes
15.7.3 Emerging Applications in Advanced Technologies
15.8 Opportunities for Advancing Nanofluid Technologies
15.8.1 Famous Research Impediments Reported
15.9 Conclusion
References
16. Thermal Radiation, Chemical Reaction, and Dufour Effects in Nanofluids
Dibya Jyoti Saikia, Puja Haloi and Nazibuddin Ahmed
16.1 Introduction
16.2 Mathematical Formulation
16.3 Solution of the Flow Issue
16.3.1 Skin Friction
16.3.2 Nusselt Number
16.3.3 Sherwood Number
16.4 Results and Discussion
16.5 Conclusion
References
17. Bioconvective Flow of Casson Nanofluid
Sanjalee Maheshwari, Ankita Bisht and Amit Sharma
17.1 Introduction
17.2 Mathematical Modeling
17.3 Solution Methodology
17.4 Outcomes and Discussion
17.5 Concluding Remarks
References
18. Heat Transfer Examination of an Unsteady Radiating Non-Newtonian Flow Conveying Different Nanoparticles Over a Permeable Elongating Sheet
Abderrahim Wakif
18.1 Introduction
18.2 Mathematical Formulation
18.3 Numerical Procedure and Accuracy of Results
18.4 Results and Discussion
18.5 Final Outcomes
Acknowledgements
References
19. Advanced Stochastic Modeling of Ternary Nanofluid Flow Over Rotating Parallel Plates
G.K. Ramesh, J.K. Madhukesh and Umair Khan
19.1 Introduction
19.2 Research Methodology
19.2.1 Thermophysical Properties
19.2.2 Numerical Scheme
19.3 Results and Discussion
19.3.1 Analysis of Results
19.3.2 Discussion and Justification of Results
19.4 ANN Modeling
19.5 Final Remarks
References
About the Editors
Index
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