By utilizing dimensional analysis, these dimensionless parameters can be used to classify different flow regimes, predict flow behavior, and compare results across different systems and scales. They aid in designing experiments, analyzing flow characteristics, and developing empirical correlations or dimensionally consistent mathematical models.

Moreover, dimensional analysis is often applied in the context of similarity and scaling laws. By identifying dimensionless groups and establishing similarity criteria, it becomes possible to perform laboratory experiments or numerical simulations at scaled-down sizes, providing valuable insights into full-scale fluid flow phenomena while reducing cost and complexity.