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Chapter 7 Investigation of the thermal fluid system using direct numerical simulation

  • Alok Dhaundiyal and Laszlo Toth
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Flow Dynamics and Heat Transfer
This chapter is in the book Flow Dynamics and Heat Transfer

Abstract

The chapter focuses on predicting the state properties of the thermodynamic systemthermodynamic system through computational fluid dynamics (CFDcomputational fluid dynamics (CFD)). A laboratory reactor of 1.28 kWth was developed and considered whilst examining the processed loose biomass. The transient change in the thermo-fluid properties of gas in the core element of the unit was evaluated. The wave number and time step considered during the analysis were 18.47 mm−1 and 0.21, respectively. The system’s hydrostatic pressurehydrostatic pressure was omitted in the analysis. The flow is incompressible and subsonic. The standard deviationstandard deviation between the solution sets and the experimental data for velocity, pressure, and temperature were 0.02 m/s, 0.019 mbar, and 0.94 K, respectively. The maximum predicted static gas pressure through the direct numerical simulationdirect numerical simulation (DNS) was 227.60 mbar. Similarly, the gas temperature did not exceed 383 K across the core element.

Abstract

The chapter focuses on predicting the state properties of the thermodynamic systemthermodynamic system through computational fluid dynamics (CFDcomputational fluid dynamics (CFD)). A laboratory reactor of 1.28 kWth was developed and considered whilst examining the processed loose biomass. The transient change in the thermo-fluid properties of gas in the core element of the unit was evaluated. The wave number and time step considered during the analysis were 18.47 mm−1 and 0.21, respectively. The system’s hydrostatic pressurehydrostatic pressure was omitted in the analysis. The flow is incompressible and subsonic. The standard deviationstandard deviation between the solution sets and the experimental data for velocity, pressure, and temperature were 0.02 m/s, 0.019 mbar, and 0.94 K, respectively. The maximum predicted static gas pressure through the direct numerical simulationdirect numerical simulation (DNS) was 227.60 mbar. Similarly, the gas temperature did not exceed 383 K across the core element.

Chapters in this book

  1. Frontmatter I
  2. Contents V
  3. Aim and scope VII
  4. Preface IX
  5. Acknowledgments
  6. About editors XIII
  7. List of contributing authors XV
  8. Chapter 1 Introduction to flow dynamics and heat transfer 1
  9. Chapter 2 Compressible fluid flow and heat transfer 29
  10. Chapter 3 Non-Newtonian fluid flow and heat transfer 59
  11. Chapter 4 Heat transfer in forced and natural convection 81
  12. Chapter 5 Numerical study of coupled partial differential equations in heat transfer problems with imprecisely defined parameters 91
  13. Chapter 6 Numerical approach to study the effect of uncertain spectrum of field variables in a porous cavity 107
  14. Chapter 7 Investigation of the thermal fluid system using direct numerical simulation 123
  15. Chapter 8 Dynamics of shock-accelerated V-shaped gas interface 139
  16. Chapter 9 Nonlinear and linear analyses of partially ionized plasma 155
  17. Chapter 10 Thermo-fluid behavior of electroosmotic flow in a hydrophobic microchannel under Joule heating and external fields 185
  18. Chapter 11 The study of oscillating water column energy device in a two-layer fluid system of finite impermeable depth 219
  19. Chapter 12 Data-driven prediction of thermal conductivity ratio in nanoparticle-enhanced 60:40 EG/water nanofluids 239
  20. Chapter 13 Industrial applications of flow dynamics and heat transfer 261
  21. Chapter 14 Optimization techniques in flow dynamics and heat transfer 301
  22. Chapter 15 Advanced optimization methods in flow dynamics 335
  23. Index 353
  24. De Gruyter Series in Advanced Mechanical Engineering
https://doi.org/10.1515/9783111661674-007

Chapters in this book

  1. Frontmatter I
  2. Contents V
  3. Aim and scope VII
  4. Preface IX
  5. Acknowledgments
  6. About editors XIII
  7. List of contributing authors XV
  8. Chapter 1 Introduction to flow dynamics and heat transfer 1
  9. Chapter 2 Compressible fluid flow and heat transfer 29
  10. Chapter 3 Non-Newtonian fluid flow and heat transfer 59
  11. Chapter 4 Heat transfer in forced and natural convection 81
  12. Chapter 5 Numerical study of coupled partial differential equations in heat transfer problems with imprecisely defined parameters 91
  13. Chapter 6 Numerical approach to study the effect of uncertain spectrum of field variables in a porous cavity 107
  14. Chapter 7 Investigation of the thermal fluid system using direct numerical simulation 123
  15. Chapter 8 Dynamics of shock-accelerated V-shaped gas interface 139
  16. Chapter 9 Nonlinear and linear analyses of partially ionized plasma 155
  17. Chapter 10 Thermo-fluid behavior of electroosmotic flow in a hydrophobic microchannel under Joule heating and external fields 185
  18. Chapter 11 The study of oscillating water column energy device in a two-layer fluid system of finite impermeable depth 219
  19. Chapter 12 Data-driven prediction of thermal conductivity ratio in nanoparticle-enhanced 60:40 EG/water nanofluids 239
  20. Chapter 13 Industrial applications of flow dynamics and heat transfer 261
  21. Chapter 14 Optimization techniques in flow dynamics and heat transfer 301
  22. Chapter 15 Advanced optimization methods in flow dynamics 335
  23. Index 353
  24. De Gruyter Series in Advanced Mechanical Engineering
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