Analytical solutions for two-dimensional (2D) and three-dimensional (3D) swirling strengths were derived and were used to simulate the detection of 3D vortices in planar Particle Image Velocimetry (PIV). Based on Euler’s rotation theorem and the Burgers vortex model, a general equation for the 2D swirling strength of a 3D vortex having an arbitrary inclination angle with the analyzed plane was proposed. Vortices were classified into two categories: strong vortices and weak vortices. When focusing only on strong vortices, previous studies reported that the ratio of the two swirling strengths varies as a sine function; however, we found that this ratio is a function of both circulation and inclination angle, and the relative deviation between the ratio function and the sine function exhibits a monotonous decrease with increasing circulation. When vortices are classified into different categories according to the circulation, the analytical solution fits well with data points in each category. Theoretical analysis reveals that the detection of a 3D vortex in planar PIV has a dependence on two factors (circulation and inclination angle) and the detection probability of a 3D vortex with a certain inclination angle in planar PIV was simulated. For example, detection probabilities of 3D vortices with inclination angles of 10°, 30°, 50°, and 90° are 10%, 46%, 81%, and 100%, respectively. To the best of author’s knowledge and study, the universally recognized assumption that only vortices with large inclination angles can be detected in planar PIV needs to be revised. For vortices with small inclination angles, as long as their circulation is sufficiently large, they can also be detected.
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