Introduction to Modern Computational Fluid Dynamics

Introduction to Modern Computational Fluid Dynamics

March 9, 2026
at ASTFE TFEC2026 Conference in person at Arizona State University and online virtual in Whova/Zoom (from 9 AM to 4 PM)

Computational Fluid Dynamics (CFD) has emerged as an essential component of the design and analysis process for a wide range of engineering disciplines. CFD tools enable an engineer to analyse and understand the impact of the underlying physics, mathematics, and numerical concepts on an engineering system. This introductory course is intended to provide a researcher or a practicing engineer with the basic essentials to deal with problems of engineering design that involve fluid flow, heat and mass transfer, turbulence, combustion or other flow processes. It also provides an overview of the uses, abuses, promises and limitations of CFD so as to enable a design engineer to make effective use of CFD as an engineering tool. This introductory course covers a range of topics from fundamental aspects of CFD to the state-of-the-art technologies, such as application of the latest Machine learning techniques to CFD.

KEY BENEFITS TO PARTICIPANTS

  • Help participants develop an intuitive understanding of key concepts of CFD
  • Provide an insight into the relevance of CFD to real-world industrial problems
  • Discuss the uncertainties, promises and pitfalls of CFD
  • Help participants correctly interpret results of their flow simulations.
  • Discuss how Machine Learning can be integrated with CFD to improve performance and accuracy

WHO SHOULD ATTEND

  • Graduate students and research scholars involved with development and application of CFD
  • Design engineers working with CFD

Instructor(s)


ENROLL FOR THE course

Workshop Outline

Lecture 1: Brief History & Governing Equations
Lecture 2: The Finite Volume Method & Application to 1D Equations
Lecture 3: Basics of Numerical Analysis & Matrix Solvers
Lecture 4: Navier Stokes Equations, Pressure Projection & SIMPLE Method
Lecture 5: Density Based Methods
Lecture 6: Turbulence Modeling
Lecture 7: Environmental Flows
Lecture 8: CFD of the Future: Adaptive Grids, Meshless
Lecture 9: CFD of the Future: AI & Machine Learning
Lecture 10: Models & Reality

Registration

Fee: $100.00 - Participation fee

Registration will be limited to 50 participants.

Registration deadline: February 9nd 2026

A certificate will be given upon completion of the course