Sintering Technology of Cemented Carbide Cutting Tool Based on Digital-Twin

Cutting tool sintering process is one of the key links in cutting tool manufacturing process. Various physical quantities change with time during cutting tool sintering. As the sintering quality of cutting tool is directly affected by these changes, it is very difficult to predict and control the sintering quality of cutting tool. Due to the complex structure of sintering equipment, it is difficult to obtain high quality and sufficient data to train the sintering quality prediction model. In this paper, the real-time condition monitoring, prediction and control of carbide cutting tool during sintering process are studied. In this study, a digital-twin model of cemented carbide cutting tool sintering furnace was established. Based on this model, the change of heat distribution characteristics in sintering furnace during sintering process is precisely described. Firstly, the paper establishes the mapping architecture of cutting tool sintering digital-twin system. Based on this architecture, a digital-twin model of heat radiation in sintering furnace is established in this paper. Based on the temperature and pressure data in the sintering furnace, the radiation heat transfer in the furnace is analyzed in order to determine the temperature change of the cutting tool sintering position. In this paper, the relationship between the temperature change of cutting tool sintering position and cutting tool grain size is studied. Based on this relationship, a rolling data-driven digital-twin prediction model for cutting tool sintering has been constructed. In this paper, cutting tool sintering temperature control driven by digital-twin system is realized based on a fuzzy control model. The validity of the digital-twin system is verified by a series of comparative experiments. The test results show that the temperature error of the system control is less than +/- 1 degrees C. It effectively improves the qualified rate of cutting tool sintering.