Dynamic compression test on TC6 titanium alloy samples have been done by using a split Hopkinson bar process and extra circuit under conditions of room temperature and high strain-rate. The effect of impressed-current on sensitivity of adiabatic shear of TC6 titanium alloy has been studied. It is shown that the impressed-current can reduce the sensitivity of adiabatic shear of TC6 titanium alloy under the condition of high strain-rate. Free electron in the samples will do direct move and take heat away from high localized area to decrease the effect of the heat. The result will help to delay formation of the adiabatic shear band. So, that is reducing the sensitivity of adiabatic shear of TC6 titanium alloy.
In Pulse Coupled Neural Network (PCNN), the conception of time series icon based on neural impulse oscillation realized face recognition by using average time series icon and average Euclidean distance. Simulations showed that the approach is effective and possesses better recognition effect for various faces and complicated expressions.
We usually adopt DSP and ARM to perform signal collection and processing. However, functions of DSP and ARM largely depend on the software. Parameter modulation of the software must account for sampling time partly. Moreover, software can not control complex peripheral logic circuit very well. The above problems render DSP and ARM containing big flaws in high-speed data collection and processing. Field-programmable Gate Array (FPGA) possesses the characteristics of timeliness, controllability and rapid processing speed. The paper designed a new circuit based on FPGA to obtain high-speed signal, and utilized FFT IP core in FPGA to perform spectral analysis with the help of digital signals from the circuit. The paper introduced the design based on FPGA and verified that it possesses good performance according to actual experiments.
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