This method is expected to not only pave the way for more efficient and precise powder mixing processes but also open up new possibilities for industries seeking to enhance product quality and streamline production.A research team at Osaka Metropolitan University has developed a new simulation method that accurately predicts powder mixing using AI, and has succeeded in increasing calculation speed by approximately 350 times while maintaining the same level of accuracy as conventional methods.
Numerical simulations using the discrete element method have been used widely as an approach that can accurately predict powder mixing. This is achieved by calculating the motion of all particles in a very short time range , calculating the motion of the entire powder using the calculated values, and then repeating the process over and over again to calculate the motion of each particle a short time ahead.
"We have successfully harnessed our knowledge in powder technology, which we have honed over many years, and combined it with machine learning to rapidly predict the unique behavior of complex powders," explained Professor Nakamura."We would like to build upon this achievement to contribute to the future of industries seeking to enhance product quality and streamline production.
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