Abstract
ABSTRACT Developing a technology that can reduce drag and oscillations on objects in a flowing fluid has been a long dream of researchers. Here, a parallel adaptive-grid algorithm for capturing the flow field is adopted to construct an electromagnetic force solver. Based on this solver, the impact of different Reynolds numbers (Re) and computational domain sizes on the vortex structure distribution is investigated in detail. Grid-adaptive criteria for capturing the flow details based on multiple physical quantities are studied to increase the numerical accuracy and improve the calculation efficiency. Numerical simulations of the flow around a bluff body are performed for different Re to establish the effect of the Lorentz force on the flow. By introducing this parallel adaptive-grid algorithm, the number of grids and computing resources is considerably reduced. In addition, parallel algorithms that can realize multi-threaded dynamic load balancing and further reduce the length of computational cycles.
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