The Dynamic Quality Control Method Based on Similar Weighted Network and Its Application

To satisfy the requirements of dynamic quality control in machining system, considering the acquisition and analysis of quality data, process statuses assessment and dynamic feedback control, the dynamic quality control method is proposed based on similar weighted network. With the method, the multiple residual analysis is proposed to eliminate the autocorrelation via data, which provides reliable data for statuses assessment. In addition, the process statuses model of work piece is established to analyze the similarity between any two statuses, and the statuses are mapped as nodes to construct similar weighed network for classifying the process statuses. Then the quality control strategy for each classification is formulated in strategy database. By this, the dynamic quality control method of analysis-assessment-adjustment is encapsulated in machining system to improve the quality. At last, a case application of honing process is established to verify the method.