镗削加工中切屑阻塞特性的识别

The Feature Recognition of Chip Flow Jam in Boring

以“智能传感器组”为核心,将力传感器和温度传感器用于镗削加工中切屑堵塞的识别,通过两个传感器在线并行获取加工过程信息,进行信息融合,并对信号特征量的提取方法进行了研究.针对切削过程的复杂性、随机性和模糊性,提出了将模糊理论和神经网络相结合的Fuzzy-ARTMAP模型应用于切屑阻塞的识别,取得了很好的效果.

To recognize chip flow jam in boring, an intelligent sensor group composed of force sensor and thermal sensor was presented, and the strategies to acquire featured parameters were studied. Because of the complexity, randomness and fuzziness of cutting process, a new model called Fuzzy-ARTMAP combined fuzzy theory and neural network was used to identify the chip flow jam in cutting, which was proved to be satisfied.