Mathematical Modeling of Turbulent Flows Using Advanced Computational Fluid Dynamics

Authors

  • Anupama Anumolu Professor of Mathematics, Basic Engineering Department, DVR&Dr.HS MIC College of Technology, India
  • Monika Jain Associate Professor, Department of Mathematics, JECRC University, India
  • Dhanikonda Rajeswari Department of Electronics and Communications, SRKR Engineering College, India
  • B. Jagadeesh Assistant Professor, Department of Civil Engineering, Vasavi College of Engineering (A), India
  • M. Renukhadevi Assistant Professor, First Year Engineering Department, Dr.D.Y.Patil Institute of Technology, India
  • Sivaiah Sreeramula Professor of Mathematics, Department of Mathematics, Vidya Jyothi Institute of Technology (A), India

DOI:

https://doi.org/10.63278/mme.v31i1.1311

Keywords:

Turbulence, Computational Fluid Dynamics (CFD), Reynolds-Averaged Navier-Stokes (RANS), Large Eddy Simulation (LES), Direct Numerical Simulation (DNS), Mathematical Modeling, Fluid Dynamics

Abstract

Various engineering projects depend on turbulent flow dynamics for operations in aerodynamics and energy systems as well as environmental fluid dynamics purposes. This research evaluates state-of-the-art CFD methods for simulating turbulence by studying RANS, LES, and DNS approaches. The research demonstrates both strengths and drawbacks and accuracy and efficiency comparison of different models as it evaluates computational methods. Better predictive modeling can be attained by implementing hybrid models together with machine learning assistance for turbulence modeling according to the findings presented.

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How to Cite

Anupama Anumolu, Monika Jain, Dhanikonda Rajeswari, B. Jagadeesh, M. Renukhadevi, and Sivaiah Sreeramula. 2025. “Mathematical Modeling of Turbulent Flows Using Advanced Computational Fluid Dynamics”. Metallurgical and Materials Engineering 31 (1):772-79. https://doi.org/10.63278/mme.v31i1.1311.

Issue

Vol. 31 No. 1 (2025)

Section

Research

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Copyright (c) 2025 Anupama Anumolu, Monika Jain, Dhanikonda Rajeswari, B. Jagadeesh, M. Renukhadevi, Sivaiah Sreeramula

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