摘要
FFT是离散傅立叶变换的快速算法,本文利用MATLAB将FFT应用于敲击不同刚玉磨料陶瓷砂轮发出的声学特性的研究中,将时域上很难看出特征的声学信号变换成频域信号,发现不同刚玉磨料陶瓷砂轮声学特征区别明显。通过对比不同的采样点的频幅图,选取最佳采样点。绘制两种刚玉磨料砂轮的频幅图和相位图,提取特征参数。结果表明,FFT能将不同刚玉陶瓷砂轮声学特性信号的频谱提取出来,为深入研究陶瓷材料基于声学原理的性能表征提供了思路;刚玉中Al2O3含量与声波的特征参数有极高的相关性。
FFT is a fast algorithm of discrete Fourier transform. This paper studies the acoustic characteristics by using MATLAB applying on FFT knocking at different corundum abrasive ceramic grinding wheel. It is found that the different obvious acoustic characteristics of alumina ceramic wheel, by making the characteristics of acoustic signal which can not be observed in the time domain transforming to the frequency domain signal. Through the comparison of different sample point amplitude frequency diagram, selecting the best sampling points, the feature parameters are extracted by drawing two corundum abrasive ceramic wheel frequency image and phase diagram. The results show that the FFT can extract the spectrum signal of acoustic characteristics from different corundum ceramic grinding wheel and this way pro-vides a method for further research on ceramic materials performance characterization based on acoustic principle;It has high correlation of Al2 O3 content in alumina and the characteristics of the acoustic parameters.
出处
《中原工学院学报》
CAS
2015年第3期59-63,共5页
Journal of Zhongyuan University of Technology
基金
河南省教育厅科学技术研究重点项目(13A430126)
关键词
快速傅里叶变换
刚玉磨料
相关性
fast Fourier transform
corundum abrasive
correlation