Abstract
In order to effectively improve the flexural strength and fracture toughness of ceramics, two methods can be used to control the growth rate of grain during sintering of ceramic materials by adding a certain amount of (W,Ti)C material. Therefore, on the one hand, the paper simulates the composite ceramic materials based on cellular automata (CA) to optimize the ratio of two formulations. On the other hand, in order to optimize sintering process, CA modeling is also carried out for the sintering process of composite ceramics. Finally, in order to detect the temperature of the firing zone of the ceramic kiln by using the characteristics of the flame image of the firing zone, the K-means clustering method is used for the color segmentation of the flame image of the firing zone of the ceramic kiln. The experimental results show that the size of the grains is in accordance with the actual situation of the simulation and the microstructure evolution of the composites can be simulated well by using the CA theory to simulate the composites; with the increase of simulation time, the grain size distribution is basically unchanged, which accords with the normal distribution, and the simulation process of grain growth is very stable. Based on the K-mean clustering segmentation method, the segmentation of the flame image of ceramic kiln firing zone is realized. This method also provides a good technical means for feature extraction of flame image in ceramic kiln firing zone.
Highlights
Ceramic material has high hardness, high wear resistance, and good high temperature stability, as well as good electrical and thermal conductivity and chemical resistance [1]
4 Conclusions It is difficult to densify its flexural strength, and its application range is limited by its low fracture toughness, so as to improve the flexural strength, fracture toughness, and hardness of ZrB2 ceramic material
In order to improve the flexural strength, fracture toughness, and hardness of ZrB2 ceramic material, it can be added to ZrB2 ceramic material by adding a certain proportion of (W,Ti)C and optimizing sintering process
Summary
Ceramic material has high hardness, high wear resistance, and good high temperature stability, as well as good electrical and thermal conductivity and chemical resistance [1]. The sintering densification of ceramic materials is more difficult in bending strength, and the defects of low fracture toughness limit its application scope. It is of great significance to study the grain growth in the sintering process of ceramic materials and optimize the sintering process to improve the bending strength, fracture toughness, and hardness of the materials. Many studies have been carried out on the grain growth in the process of preparing materials by computer simulation. The application of CA method to the simulation of grain change in the sintering process of composite ceramic materials is relatively rare. On the other hand, using CA theory, the CA model of grain growth during sintering of composite ceramic materials is established. The segmentation and contrast experiments are carried out in different color modes
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