부산대학교 도서관

The quality control of the current die-casting process is judged by parameters such as injection speed. There are certain shortcomings in practical applications. In order to better ensure the quality of die-casting, this paper proposes a slow injection process stability analysis method based on edge detection theory. Based on the monitoring data of the injection process, the idea of image edge detection is introduced. First, the color space transformation is used to convert the movement data of the slow injection process punch into image data, and then the edge detection theory canny algorithm is used to extract the fluctuation characteristics of the image data. The stability index of the slow injection process is proposed to realize the quantitative characterization of the stability of the slow injection process of die casting. The effectiveness of the method is verified by the data accumulated in the actual die-casting manufacturing process. The results show that the method in this paper can better evaluate the stability of the slow injection process and provide a new reference for the control of the die-casting process.