On the Physical Interpretation of Proper Orthogonal Decomposition and Dynamic Mode Decomposition for Liquid Injection

Abstract: The modal decomposition techniques of proper orthogonal decomposition (POD) and dynamic mode decomposition (DMD) have become a common method for analysing the spatio-temporal coherence of dynamical systems. In particular, these techniques are of interest for liquid injection systems due to the inherent complexity of multiphase interactions and extracting the underlying flow processes is desired. Although numerous works investigating flow processes have implemented POD and DMD, the results are often highly interpretive with limited link between the decomposition theory and the interpreted physical meaning of the extracted modes. Here, we provide insight into the interpretation of POD and DMD modes in a hierarchical structure. The interpretation of modes for simple canonical systems is validated through knowledge of the underlying processes which dominate the systems. We show that modes which capture true underlying phenomena produce subsequent modes at higher harmonics, up until the Nyquist limit, whose modal structure scales decrease proportionally with increasing modal frequency. These higher harmonics primarily encode motion information and may or may not capture additional structural information, which is dependent on the system. We demonstrate these findings first on canonical liquid injection systems to enhance the interpretation and understanding of results extracted from practical jet in crossflow systems.