Evaluation of a Coating Process for SiO2/TiO2 Composite Particles by Machine Learning Techniques

Evaluation of a Coating Process for SiO2/TiO2 Composite Particles by Machine Learning Techniques

In this study, in order to optimize a fabrication process for SiO2/TiO2 composite particles and control their coating ratio (CTi), regression models for the coating process were constructed using various machine learning techniques. The composite particles with a core (SiO2)/shell (TiO2) structure w...

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Bibliographic Details
Main Authors: Taichi Kimura, Riko Iwamoto, Mikio Yoshida, Tatsuya Takahashi, Shuji Sasabe, Yoshiyuki Shirakawa
Format: Article
Language:English
Published: Hosokawa Powder Technology Foundation 2022-06-01
Series:KONA Powder and Particle Journal
Subjects:
coated composite particles
machine learning techniques
neural network
coating ratio
sio2
tio2
Online Access:https://www.jstage.jst.go.jp/article/kona/40/0/40_2023010/_html/-char/en

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