Development of Continuous Crystallizer for Layered Double Hydroxide by Neural Network Model

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  • 層状複水酸化物作製のためのニューラルネットワークモデルを用いた連続晶析装置の開発

Abstract

<p>As effective utilization of seawater resources, a development of the recovery method of Ca dissolved in concentrated seawater discharged from the salt manufacturing process is desired. In this study, a recovery method of Ca in the concentrated seawater by continuous crystallization of hydrocalumite (HC) using a Taylor vortex crystallizer was investigated. Furthermore, effects of the operation parameters during the continuous crystallization on the powder properties of HC particles was predicted by constructing a regression model using deep neural network.</p>

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