Immersive Analytics using Augmented Reality for Computational Fluid Dynamics Simulations

Abstract

This project aimed to employ multi-sensory visual analytics to a Computational Fluid Dynamics (CFD) dataset using augmented and mixed reality interfaces. Initial application was developed for a Hololens which allows users to interact with the CFD data using gestures, enabling control over the position, rotation and scale of the data, sampling, as well as voice commands that provide a range of functionalities such as changing a parameter or render a different view. This project leads to a more engaging and immersive experience of data analysis, generalised for CFD simulations. The application is also able to explore CFD datasets in fully collaborative ways, allowing engineers, scientists, and end-users to understand the underlying physics and behaviour of fluid flows together.