Advancements in Computational Fluid Dynamics

The live presentation of this event has already taken place.

Please view the PDF slides here or watch the video recording below:

Webinar details

Recent advancements in computational fluid dynamics (CFD) have been significantly driven by software innovations that enhance simulation accuracy, efficiency, and accessibility. Modern CFD software now leverages high-performance computing (HPC) and cloud-based platforms, enabling engineers to solve complex fluid flow problems more quickly and with greater precision. These tools are increasingly utilizing adaptive mesh refinement (AMR) techniques, which dynamically adjust the resolution of the simulation grid based on the flow characteristics, allowing for finer details in critical regions while conserving computational resources. Additionally, the integration of machine learning algorithms into CFD workflows has improved the ability to predict turbulent flows and optimize designs by reducing the need for exhaustive trial-and-error simulations.

Moreover, the development of user-friendly interfaces and the rise of open-source platforms has broadened the accessibility of these tools beyond traditional experts. Software packages like OpenFOAM and commercial options such as ANSYS Fluent and COMSOL Multiphysics have incorporated more intuitive graphical user interfaces (GUIs), automated setup processes, and comprehensive libraries of pre-configured models. This has empowered a wider range of industries and researchers to adopt CFD for applications ranging from aerospace and automotive to environmental modelling and biomedical engineering. The ongoing trend towards Multiphysics simulations, where CFD is integrated with other physical phenomena like structural mechanics or heat transfer, also reflects the growing sophistication and versatility of modern CFD software.

• The webinar will be recorded and will be sent out to registered attendees afterwards.
• A certificate of attendance will be provided to attendees who request one near the end of the live webinar session.
• Please note: the time stated on this event is in UTC. You will need to convert this to your own time zone.

Key takeaways from this webinar

• Awareness of the latest developments in the field of computational fluid dynamics.
• Introduction to high performance computing systems for CFD analysis.
• Role of Machine learning and AI in computational simulations.
• Role of CFD simulations in Multiphysics simulations conducted in industry.

Related courses

This webinar/topic relates to our school of Mechanical Engineering, particularly found in the following courses:

• Professional Certificate of Competency in Digital Twins and Simulation Monitoring
• Graduate Certificate in Mechanical Engineering
• Graduate Diploma of Engineering (Mechanical)
• 52884WA Advanced Diploma of Mechanical Engineering Technology
• Online – Bachelor of Science (Mechanical Engineering)
• Online – Master of Engineering (Mechanical)

About the presenter

Mr. Vijay Kumar Veera, EIT Lecturer and Senior CFD Engineer

Vijay Kumar Veera is a qualified Aerospace Engineer with over 13 years of experience in using CFD methodologies to simulate industrial and academic problems. He has obtained an M.Phil degree in Engineering from Cambridge University in UK and has M.Tech and B.Tech degrees from Indian Institute of Technology in Bombay and Madras respectively. His expertise is in capturing Fluid flow phenomena using computational methods. He has worked with major organizations in Australia and UK with Red Bull F1, Mercedes F1, Boeing, Airbus, Thales, DSTO, Fisher & Paykel some of the notable clients.

In his current role as a Unit lecturer and Course Coordinator at EIT, he has been instrumental in developing lecture materials for teaching Advanced fluid dynamics and Aerodynamics units for students pursuing Master of Mechanical Engineering. His passion is in teaching computational fluid dynamic techniques for solving real world problems, which are becoming highly popular with professional engineers wanting to advance their careers to the next level. He is a passionate educator and an advocate for using real world examples in the classroom.