[19p-A202-1~7] 8.3 Plasma nanotechnology

1:15 PM - 1:30 PM JST(4:15 AM - 4:30 AM UTC)

[19p-A202-2] RBF-ANN Based Sequential Optimization of Operating Conditions in Nanoparticle Synthesis using Tandem Modulated Induction Thermal Plasma with Intermittent Synchronous Feeding

〇Yasunori Tanaka¹, Yurina Nagase¹, Rio Okano¹, Yusuke Nakano¹, Tatsuo Ishijima¹, Satoshi Kitayama¹, Shiori Sueyasu², Shu Watanabe², Keitaro Nakamura² (1.Kanazawa Univ., 2.Nisshin Seifun Gr.)

Keywords:

Nanoparticles,Inductively coupled thermal plasma,Mass production

We have developed the "Tandem-PMITP+TCFF method" as a method for mass production of nanoparticles, and have actually succeeded experimentally in synthesizing a large amount of nanoparticles at a high production rate of about several hundred g/min. However, the number of parameters that can be controlled is extremely large, and it is not easy to optimize them. In this report, we investigate the optimization of operating conditions for the main control parameters of nanoparticle production using the Tandem- MITP + TCFF method by applying a numerical thermofluid model and machine learning techniques.