ABSTRACT

Aiming at solving the problems of low precision of quality monitoring and low sensitivity of fluctuation detection in the batch machining process of complex thin-walled parts, the multivariate profile monitoring approach was proposed. The extended error stream method was used to establish profile representation of the multi-operation machining processing fluctuation, which could describe the fluctuation of multi-part production cycle and the decline of production line represented by error sources. On this basis, the monitoring statistics of the batch complex thin-wall part machining process were built based on one-step ahead forecast error and Tsquare (OSFE-T square). Then, the profile monitoring method was developed based on the OSFE-T square monitoring model of batch parts on the different operation using the sliding time window cluster-based method. Through the Monte-Carlo simulation, the fraction correctly classified, sensitivity, specificity, false positive and false negative of the quality monitoring method were analyzed respectively, which proved that the proposed method had better performance. Finally, amachining simulation instance was presented including ten operations demonstrated the effectiveness of the machining error control method. Compared with other alternative methods, the proposed method in this paper has more advantages in the sensitivity of fluctuation detection.

摘要

针对复杂薄壁零件批量加工过程中质量监测精度低，波动检测灵敏度低的问题，提出了一种多元轮廓监测方法。利用扩展误差流方法建立多工序加工波动的轮廓表示，可以描述多零件生产周期的波动和误差源所代表的生产线下降。在此基础上，基于一步预测误差和Tsquare（OSFE-T square）建立了批处理复杂薄壁零件加工过程的监控统计数据。然后，利用基于滑动时间窗聚类的方法，在不同操作下，基于批处理零件的OSFE-T正方形监视模型，开发了轮廓监视方法。通过蒙特卡洛模拟，分别对质量监测方法正确分类的部分，灵敏度，特异性，假阳性和假阴性进行了分析，证明了所提出的方法具有较好的性能。最后，给出了一个包括十个操作的加工仿真实例，证明了加工误差控制方法的有效性。与其他替代方法相比，本文提出的方法在波动检测的灵敏度方面更具优势。分别分析了质量监测方法的假阳性和假阴性，证明了所提方法的性能。最后，给出了一个包括十个操作的加工仿真实例，证明了加工误差控制方法的有效性。与其他替代方法相比，本文提出的方法在波动检测的灵敏度方面更具优势。分别分析了质量监测方法的假阳性和假阴性，证明了所提方法的性能。最后，给出了一个包括十个操作的加工仿真实例，证明了加工误差控制方法的有效性。与其他替代方法相比，本文提出的方法在波动检测的灵敏度方面更具优势。