In this study, acoustic and viscosity data are collected in real time during the ball milling process and analyzed for correlation. After fast Fourier transformation (FFT) of the acoustic data, changes in the signals are observed as a function of the milling time. To analyze this quantitatively, the frequency band is divided into 1 kHz ranges to obtain an integral value. The integrated values in the 2–3 kHz range of the frequency band decrease linearly, confirming that they have a high correlation with changes in viscosity. The experiment is repeated four times to ensure the reproducibility of the data. The results of this study show that it is possible to estimate changes in slurry properties, such as viscosity and particle size, during the ball milling process using an acoustic signal.

Abstract
1. 서 론
2. 실험방법
3. 결과 및 고찰
4. 결 론
References

• 정현덕(한국세라믹기술원 이천분원 엔지니어링세라믹센터) | Hyeondeok Jeong (Engineering Ceramic Center, Korea Institute of Ceramic Engineering and Technology)
• 김영범(한국세라믹기술원 이천분원 엔지니어링세라믹센터) | Young-Beom Kim (Engineering Ceramic Center, Korea Institute of Ceramic Engineering and Technology)
• 류성수(한국세라믹기술원 이천분원 엔지니어링세라믹센터) | Sung-Soo Ryu (Engineering Ceramic Center, Korea Institute of Ceramic Engineering and Technology)
• 김세기(한국세라믹기술원 이천분원 엔지니어링세라믹센터) | Seiki Kim (Engineering Ceramic Center, Korea Institute of Ceramic Engineering and Technology) Corresponding Author