Abstract
SiC ceramics is one of the most important material for a thermistor operating at high temperature. In this paper, we deal with a design of the SiC ceramic thermistor using an artificial intelligence. In this system, the input specifications of the thermistor are the thermistor constant, the resistance at the operating temperature, and the cavity size of the package. On the other hand, output data (manufacturing condition) are the firing time, the amount of aluminum content, and the dimension of the thermistor.
SiC ceramic thermistor was manufactured based on the output data, and the characteristics as a thermistor were measured. This material design system is considered to be useful system, because the measured characteristics agree with the specifications.
