It’s time the complex world of Computational Fluid Dynamics is unravelled by the intuitive understanding of 4th paradigm of Science, Data Science, where, the mathematical logic, statistics , correlation between variables and parameters along with the domain knowledge are brought together in one place.
By levereging the techniques of data analytics and machine learning algorithms, the CFD-based prediction can be further improved, with a potential of a faster turn-around time.
CFD with Data Science techniques holds the potential to revolutionize the design life-cycle and improve predictions of fluid-flow simulations.
