Abstract:
Based on the statistical rule of the influence factors of carbon fiber monofilament force-resistance effects, the conductive network quantitative model of carbon felt composite layer forceresistance sensing properties was revealed. The length after the lapping of carbon fiber monofilament was discussed, and got the statistics relationship between the average length, density, number of carbon fiber; on the assumption that the fiber random uniform distributed in the felt and the lap points normal distribution, the resistances of 4 different sizes carbon fiber composite layer was estimated, and through the box plot analysis showed that the measured value in the corresponding estimation range, which showed that this model could be good for estimating the resistances of carbon felt composite layer who’s fiber random distributed; finally, basic on the statistics model of carbon felt resistance network, the forceresistance effects of carbon felt composite layer was researched. Through the comparison of theory resistance change rate and the measured resistance change rate, find that composite layer force-resistance effects sensitivity coefficient the model gave is comparatively stable, and the simulated result shows that random resistance network model can imitate the resistance behavior when the carbon felt is loaded well.