The difference between nanomaterials and their coarse grain materials is that the former makes traditional ductile metal hard and strong and makes conventional ceramics deforming plastically.
与粗晶材料的区别在于，当材料到达纳米级，传统的塑性好的金属材料将变强变硬，而陶瓷材料则表现出超塑性。
参考来源 - 纳米材料的力学性能In order to minimize the disturbance of the scattering wave induced by crystal-grain-structure of the material to the useful signals and raise the signal-to-noise ratio(SNR),wavelet neural network is introduced to the signal denoising for ultrasonic detection of coarse-grain materials.
为了最大限度地消除粗晶材料超声检测时,晶粒散射波对有用信号的严重干扰,提高接收信号的信噪比,将小波神经网络引入粗晶材料超声检测信号处理领域中。
参考来源 - 小波神经网络在超声检测信号降噪中的应用In ultrasonic detecting of coarse-grained material specimen or workpiece withlimited size, there are many kinds of noise such as boundary reflection waves andacoustic-electric crosstalk signals in received signals besides the scattered waves, flawecho and bottom echo.
在利用超声对有限尺寸粗晶材料样品或工件进行检测时，除缺陷波、底波和晶粒散射波外还存在边界多次反射和发收声电串混等干扰杂波。
参考来源 - 粗晶材料超声检测信号的小波神经网络处理研究·2,447,543篇论文数据，部分数据来源于NoteExpress
纳米结构材料的性能显示出显著的改进，与粗晶材料的性能有很大的差别。
The material properties of the nanostructured materials show remarkable improvement or deviation from the properties exhibited by the coarser grained material.
由于粗晶材料中材料微结构引起的散射(结构噪声)，使得超声探伤比较困难。
Ultrasonic flaw detection in large-grained materials is difficult because of multiple scattering from material microstructure (grain noise).
采用计算机化超声信号分析系统，对奥氏体不锈钢粗晶材料缺陷的超声回波信号进行采集和加工。
The ultrasonic defect echo of a austenite stainless steel with coarse grainswas acqiuired and processed using a developed computerized ultrasonic signal analysissystem.
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