【摘要】 提出一种基于磁巴克豪森噪声(MBN)效应的无损检测方法,用于快速地检测齿轮表面经铣削后的渗碳层深度。首先,通过对18CrNiMo7-6齿轮钢进行渗碳处理,在试样表面得到3mm厚的渗碳层;然后在相同的进给量(0.1mm)下依次铣削加工出有不同深度的渗碳层试样;最后,利用搭建的巴克豪森噪声检测平台对不同厚度的渗碳层进行检测。结果发现:MBN信号的均方根和均值与渗碳层深度呈近似的线性递减关系。因此,可利用巴克豪森噪声信号的均方根或均值检测铣削后的渗碳层深度。更多还原

【Abstract】 A nondestructive testing method based on the effect of magnetic Barkhausen noises(MBN)is proposed to detect the carburized depth of gears which are milled.Firstly,a carburized layer of 3 mm thickness is got by carburizing treatment.Then,the samples owning different carburized depths are milled with same feed rate(0.1 mm).Finally,the Barkhausen noise detection platform was used to test the samples with different carburized depth.The results show that the relationships between the root-mean-square(RMS)value and the mean value of Barkhausen noise signal and the carburized depth are linear.It is shown that the depth of carburized layer can be tested by the root-mean-square value and the mean value of Barkhausen noise signals.更多还原