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Nanofluid Applications in Thermal Engineering: Advanced Numerical Investigations delves into the forefront of scientific research, exploring advanced numerical techniques for modeling nanofluids in thermal engineering. Featuring cutting-edge computational simulations, it offers invaluable insights into optimizing heat transfer processes using hybrid and ternary nanofluids. From thermophysical and rheological analyses to exploring the thermal performance of magnetic power-law hybrid nanofluids, the book provides a comprehensive overview of the latest developments. By addressing daily challenges faced in research, such as selecting appropriate numerical methods and bridging the gap between mathematical models and real-world problems, this book serves as a guide for navigating complex nanofluid applications.

Topics explore advanced numerical modeling of hybrid and ternary nanofluids, the effects of internal heat generation and chemical reactions in porous media, and the magneto thermal aspects of ternary composite nanomaterials. With a focus on real-life applications, such as Darcy-Forchheimer flow with Marangoni convection and thermal control for Casson hybrid nanofluid flow, this book equips readers with the knowledge needed to navigate complex nanofluid models in thermal engineering systems effectively. For thermal engineers and nanofluids researchers seeking to enhance their understanding and practical applications, this book is a vital resource.

  • Explores advanced numerical techniques for modeling nanofluids in thermal engineering
  • Delivers insights into cutting-edge computational simulations for optimizing heat transfer processes
  • Explains the behavior of hybrid and ternary nanofluids through detailed analysis
  • Showcases innovative applications of nanofluids in diverse thermal engineering systems
  • Bridges interdisciplinary knowledge that is essential for research and practical applications in mathematical modeling

1. 1 Introduction - p. 78 2. 2 Mathematical model - p. 81 3. 3 Numerical methods - p. 87 4. 4 Results and discussion - p. 89 5. 5 Conclusions - p. 100 6. Chapter 4. Advanced numerical modeling of hybrid nanofluid flow and heat transfer - p. 107 7. Chapter 5. Advanced numerical modeling of ternary nanofluids' flow and heat transfer - p. 125 8. Chapter 6. Effects on binary hybrid nanofluid due to internal heat generation and homogeneous chemical reaction in porous media - p. 155 9. Chapter 7. Analysis of activation energy on couple stress hybrid nanofluids with heat generation - p. 167 10. Chapter 8. Hydro magneto thermal aspects of ternary composite nanomaterial influenced by linear and nonlinear slips - p. 201 11. 1 Introduction - p. 201 12. 2 Mathematical modeling - p. 201 13. 3 Physical quantities of interest - p. 201 14. 4 Numerical scheme - p. 201 15. 5 Results and discussion - p. 201 16. 6 Conclusions - p. 201 17. Chapter 9. Thermal performance of nonlinear radiative ternary hybrid nanofluid flow with different applications - p. 225 18. 1 Mathematical modeling procedure - p. 225 19. 2 Problem statement - p. 225 20. 3 Governing equations in usual form - p. 227 21. 4 Mathematical formulation through nondimensional form - p. 228 22. 5 Streamlines–vorticity - p. 230 23. 6 Boundary specifications - p. 230 24. 7 Ternary-hybrid nanofluids properties - p. 231 25. 8 Heat transfer activity - p. 234 26. 9 Numerical procedure - p. 234 27. 10 Mesh study - p. 235 28. 11 Verification - p. 237 29. 12 Results and discussion - p. 237 30. 13 Visualization of transport phenomena through contour plots - p. 237 31. 14 Evaluation of thermal performance through Nusselt number - p. 245 32. 15 Conclusions - p. 253 33. Chapter 10. Darcy–Forchheimer hybrid nanofluid flow with Marangoni convection over a disk - p. 257 34. 1 Introduction - p. 257 35. 2 Mathematical formulation - p. 257 36. 3 Methodology - p. 257 37. 4 Analysis and discussion - p. 257 38. 5 Regression analysis and correlation - p. 257 39. 6 Validation - p. 257 40. 7 Conclusions - p. 257 41. Chapter 11. Numerical analysis on Darcy–Forchheimer Casson binary hybrid nanofluid flow with Cattaneo–Christov flux - p. 295 42. Chapter 12. Numerical analysis on thermal control for Casson hybrid nanofluid flow with interfacial nanolayer - p. 305 43. Chapter 13. Influence of AI on advance nanofluid models - p. 329 44. Chapter 14. Recent advances in machine learning research for nanofluid heat transfer in renewable energy - p. 353 45. Chapter 15. Investigation of thin film nanofluid flow model with real-life applications - p. 393 46. Index - p. 415

Descripcion
Descripción

Nanofluid Applications in Thermal Engineering: Advanced Numerical Investigations delves into the forefront of scientific research, exploring advanced numerical techniques for modeling nanofluids in thermal engineering. Featuring cutting-edge computational simulations, it offers invaluable insights into optimizing heat transfer processes using hybrid and ternary nanofluids. From thermophysical and rheological analyses to exploring the thermal performance of magnetic power-law hybrid nanofluids, the book provides a comprehensive overview of the latest developments. By addressing daily challenges faced in research, such as selecting appropriate numerical methods and bridging the gap between mathematical models and real-world problems, this book serves as a guide for navigating complex nanofluid applications.

Topics explore advanced numerical modeling of hybrid and ternary nanofluids, the effects of internal heat generation and chemical reactions in porous media, and the magneto thermal aspects of ternary composite nanomaterials. With a focus on real-life applications, such as Darcy-Forchheimer flow with Marangoni convection and thermal control for Casson hybrid nanofluid flow, this book equips readers with the knowledge needed to navigate complex nanofluid models in thermal engineering systems effectively. For thermal engineers and nanofluids researchers seeking to enhance their understanding and practical applications, this book is a vital resource.

  • Explores advanced numerical techniques for modeling nanofluids in thermal engineering
  • Delivers insights into cutting-edge computational simulations for optimizing heat transfer processes
  • Explains the behavior of hybrid and ternary nanofluids through detailed analysis
  • Showcases innovative applications of nanofluids in diverse thermal engineering systems
  • Bridges interdisciplinary knowledge that is essential for research and practical applications in mathematical modeling

1. 1 Introduction - p. 78 2. 2 Mathematical model - p. 81 3. 3 Numerical methods - p. 87 4. 4 Results and discussion - p. 89 5. 5 Conclusions - p. 100 6. Chapter 4. Advanced numerical modeling of hybrid nanofluid flow and heat transfer - p. 107 7. Chapter 5. Advanced numerical modeling of ternary nanofluids' flow and heat transfer - p. 125 8. Chapter 6. Effects on binary hybrid nanofluid due to internal heat generation and homogeneous chemical reaction in porous media - p. 155 9. Chapter 7. Analysis of activation energy on couple stress hybrid nanofluids with heat generation - p. 167 10. Chapter 8. Hydro magneto thermal aspects of ternary composite nanomaterial influenced by linear and nonlinear slips - p. 201 11. 1 Introduction - p. 201 12. 2 Mathematical modeling - p. 201 13. 3 Physical quantities of interest - p. 201 14. 4 Numerical scheme - p. 201 15. 5 Results and discussion - p. 201 16. 6 Conclusions - p. 201 17. Chapter 9. Thermal performance of nonlinear radiative ternary hybrid nanofluid flow with different applications - p. 225 18. 1 Mathematical modeling procedure - p. 225 19. 2 Problem statement - p. 225 20. 3 Governing equations in usual form - p. 227 21. 4 Mathematical formulation through nondimensional form - p. 228 22. 5 Streamlines–vorticity - p. 230 23. 6 Boundary specifications - p. 230 24. 7 Ternary-hybrid nanofluids properties - p. 231 25. 8 Heat transfer activity - p. 234 26. 9 Numerical procedure - p. 234 27. 10 Mesh study - p. 235 28. 11 Verification - p. 237 29. 12 Results and discussion - p. 237 30. 13 Visualization of transport phenomena through contour plots - p. 237 31. 14 Evaluation of thermal performance through Nusselt number - p. 245 32. 15 Conclusions - p. 253 33. Chapter 10. Darcy–Forchheimer hybrid nanofluid flow with Marangoni convection over a disk - p. 257 34. 1 Introduction - p. 257 35. 2 Mathematical formulation - p. 257 36. 3 Methodology - p. 257 37. 4 Analysis and discussion - p. 257 38. 5 Regression analysis and correlation - p. 257 39. 6 Validation - p. 257 40. 7 Conclusions - p. 257 41. Chapter 11. Numerical analysis on Darcy–Forchheimer Casson binary hybrid nanofluid flow with Cattaneo–Christov flux - p. 295 42. Chapter 12. Numerical analysis on thermal control for Casson hybrid nanofluid flow with interfacial nanolayer - p. 305 43. Chapter 13. Influence of AI on advance nanofluid models - p. 329 44. Chapter 14. Recent advances in machine learning research for nanofluid heat transfer in renewable energy - p. 353 45. Chapter 15. Investigation of thin film nanofluid flow model with real-life applications - p. 393 46. Index - p. 415

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