基于时空映射的加工过程数据监测与可视化分析

Monitoring and Visual Analysis of Processing Data Based on Time-Position Mapping

研究了加工过程数据采集方法,并对加工工况进行了时域和空间离散,引入体元模型分别对零件空间和加工过程信号进行细分和标记,采用短时域处理方法将加工过程信号表征为对应的短时域信号特征,建立单位体元工况和加工过程信号的知识关联,从而建立了加工过程数据与零件加工位置对应的时空映射模型。最后,以叶片粗加工为例,通过基于过程信号的时空映射模型对主轴功率进行了可视化分析,生成了功率云图,清晰定位出叶片加工中功率超差区域,对加工状态进行评判,为工艺参数优化提供依据。

The data acquisition method of the machining processes was studied.The processing conditions were discretized in time domain and space,and the voxel model was introduced to subdivide and mark the part space and machining process signals.The short-time domain processing method was used to characterize the machining process signals as corresponding short-time domain signal characteristics.Thus,the knowledge association between the unit voxel working condition and the processing signals was established,and the time-position mapping model of the processing data and the part processing position was established.Finally,taking blade rough milling as an example,the spindle power was visualized and analyzed through the time-position mapping model based on processing signals.The power cloud map was generated,which clearly located the power out-of-tolerance area in blade machining,evaluated the machining state,and provided a basis for processing parameter optimization.