[9a-F211-1~12] 18.2 Process Informatics

11:45 AM - 12:00 PM JST(2:45 AM - 3:00 AM UTC)Presentation by Applicant for JSAP Young Scientists Presentation Award

[9a-F211-11] Autonomous Control of Particle Size Distribution via Robotic Grinding

〇(D)Yuto Yotsumoto^1,2, Yusaku Nakajima^1,2, Kanta Ono^1,2 (1.The Univ. of Osaka, 2.OTRI-Spin, The Univ. of Osaka)

Keywords:

laboratory automation,autonomous experiment,Bayesian optimization

Particle size distribution (PSD) is a critical factor determining the functional properties of powder materials. As seen in the sintering density of ceramics, not only the representative particle size but also the width (shape) of the distribution significantly affects the final properties. We constructed an autonomous grinding system using a force-controlled robot and conducted systematic experiments by varying grinding parameters, demonstrating that the scale and shape of the PSD correlate with different parameters. Furthermore, we demonstrated that Bayesian optimization can efficiently find grinding conditions that realize a target PSD.