References

Books and reputed journals  for Fluid Mechanics, Thermodynamics, Heat Transfer, Combustion Computational Fluid  Dynamics, Machine Learning and parallel computing  are given below:

1.Fluid Mechanics

Books:

  1. Frank MWhite, Fluid Mechanics 
  2. J. M. Cimbala Yunus A. Cengel: Fluid Mechanics : Fundamentals and Applications
  3. Schobeiri, Meinhard T., Fluid Mechanics for Engineers, 2010, Springer

Journals 

2.Heat and Mass Transfer

Books:

  1. A.S. Lavine , F. P. Incropera, David P. Dewitt, Theodore L. Bergman , Principles of Heat and Mass Transfer, second edition, 2013, Wiley

  2. Y. Cengel, Heat and Mass Transfer: A Practical Approach, fifth edition, 2017 ,McGraw Hill Education

  3. John H. Lienhard, A Texbook on Heat Transfer,MIT Press
  4. Anthony Mills, Carlos Fm Coimbra,  Mass Transfer, 2016, LLC

Journals:

3. Multiphase Flows

Books

  1. Christopher E. Brennen, Fundamentals of Multiphase Flows, Cambridge University Press 2005
  2. George Yadigaroglu Geoffrey F. Hewitt, Introduction to Multiphase Flow: Basic Concepts, Applications and Modelling, 2017, Springer
  3. Computational Techniques for Multiphase Flows
  4. S. MartinJ R Williams, Multiphase Flow Research ,2009
  5. Clayton T. Crowe, John D. Schwarzkopf, Martin Sommerfeld, Yutaka Tsuji, Multiphase Flows with Droplets and Particles, 2011, CRC Press
  6. Hamid Reza Norouzi Reza Zarghami Rahmat Sotudeh-GharebaghNavid Mostoufi,  Coupled CFD- DEM Modeling, 2016, Wiley

Journals:

4.Combustion Books and Literatures

A) Fundamentals of Combustion

  1. S. Turn, An Introduction to Combustion: Concepts and APPLICATIONS, Tata Mac Graw hill Publication.
  2. Sara McAllister, Jyh-Yuan Chen, A. Carlos Fernandez-Pello, Fundamentals of Combustion Processes, Springer Publication.
  3. Irvin, Glassman, Richard A. Yetter, Combsution, Elsevier Publication.
  4. H.S. Mukunda, Understanding Combustion, Second edition, University Press
  5. Kenneth K. Huo, Principle of Combustion, Second edition, Johan Wiley & Sons, Inc.
  6. Jozef Jarosinski, Bernard Veyssiere, Combsution,  Phenomenon -Selected Mechanisms of flame formation, Propagation, and Extinction, CRC Press.
  7. NPTEL: Prof. D.P. Mishra, IIT Kanpur
  8. Princeton University Notes : https://cefrc.princeton.edu/combustion-summer-school/lecture-notes

B) Application of Combustion : Burners used in boilers and Fired Heaters

  1. F.El-mahallay,S. El-Din Habik, Fundamentals and Technology of Combustion, Elsevier Publication
  2. L. L. Faulkner, Applied Combustion, Second edition, Taylor & Francis Publication
  3. Prabit Duttta,Combustion and Gasification in Fluidized Beds, Taylor & Francis Publication

C) CFD Modelling of Combustion

  1. Thierry Poinset, Denis Veynante, Theoretical and Numerical Combustion, 2nd Edition, Edwards Publication
  2. ANSYS FLUENT 19.2 Theory Guide
  3. ANSYS CFX For Advanced combustion

D) Advanced Combustion and its Modelings

  1. Norbert Peters, Turbulent Combustion, Cambridge University Press
  2.  Kenneth Kuan-yun Kuo, Fundamentals Of Turbulent And Multiphase Combustion, John Wiley & Sons
  3. Journals

5.Computational Fluid Dynamics (CFD) and Applications

  1. 1 Jiyuan Tu Guan Heng Yeoh Chaoqun Liu, Computational Fluid Dynamics: A Practical Approach, Butterworth-Heinemann, 3r Edition, 2018, Elsevier Publication.
  2.  Henk Kaarle Versteeg, WeeratungeMalalasekera, An Introduction to Computational Fluid Dynamics: The Finite Volume Method, 2008, Pearson Education Limited
  3. F. Moukalled, L. Mangani, M.  Darwish, M., The Finite Volume Method in Computational Fluid Dynamics:An Advanced Introduction with OpenFOAM® and Matlab. 2015 Springer
  4. Jr. Baukal, V. Gershtein,  X. Jimmy Li, Computational Fluid Dynamics in Industrial Combustion, 2000, CRC Press

 

6. Machine Learning for  CFD Modeling 

  1. Steven L. Brunton, Bernd R. Noack and Petros Koumoutsakos, Machine Learning for Fluid Mechanics, 2020, Annual Review
  2. NASA Langley Revs  and Machine Learning, 2016
  3. K..Lye, S.Mishra, D. Ray, Deep learning observables in computational fluid dynamics, Journal of Computational Physics410, 2020
  4. B, N, Hanna, N.T. Dinh, R.W. Youngblood, I. A. Bolotnov,  Coarse-Grid Computational Fluid Dynamic (CG-CFD) Error Prediction using Machine Learning,Journal of Fluids Engineering, 2020,Journal of Fluids Engineering