Cloud forming by solid explosive dispersal plays a decisive factor for twice-detonating FAE. The study of the flow field of internal cloud field can be more intuitive to understand the whole process of the formation of cloud diffusion, and it also has an important role to the delay time setting of secondary detonating fuze. Internal parameters of spreading cloud are difficult to obtain even through by the experiment method, but numerical analysis and simulations method can get the parameter. In this paper, we use experimental and simulation methods to study fuel dispersal process, aims to establish an effective and reliable mathematical models of cloud dispersal, and get the model data coinciding with the real situation.
In this paper we used the MEMS microphone to detect the sound position. A four–microphone array was constructed to localize sound source with Time Difference of Arrival (TDoA) measurements based on hyperbola model. The time delay was calculated using Generalized Cross Correlation (GCC) algorithm. A practical test system was built to confirm the feasibility of the hyperbola model and GCC algorithm using MEMS microphone. Data were collected in field experiments and calculated on PC by matlab. The results show that the method instructed in this paper is feasible in localizing the sound position with MEMS microphone.
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