Abstract
AbstractA computational algorithm based on the lattice Boltzmann method (LBM) is proposed to model reaction–diffusion systems. In this paper, we focus on how nonlinear chemical oscillators like Belousov–Zhabotinsky (BZ) and the chlorite–iodide–malonic acid (CIMA) reactions can be modeled by LBM and provide with new insight into the nature and applications of oscillating reactions. We use Gaussian pulse initial concentrations of sulfuric acid in different places of a bidimensional reactor and nondiffusive boundary walls. We clearly show how these systems evolve to a chaotic attractor and produce specific pattern images that are portrayed in the reactions trajectory to the corresponding chaotic attractor and can be used in robotic control.
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