JOURNAL OF CHEMICAL ENGINEERING OF JAPAN
Print ISSN : 0021-9592
最新号
選択された号の論文の5件中1~5を表示しています
Editorial Note
Transport Phenomena and Fluid Engineering
  • Ryohei Aoki, Satoko Fujioka, Koichi Terasaka
    原稿種別: Research Paper
    2021 年 54 巻 2 号 p. 51-57
    発行日: 2021/02/20
    公開日: 2021/02/20
    ジャーナル 認証あり

    Self-induced sloshing is an oscillatory phenomenon of a free liquid surface due to the flow of a fluid. This phenomenon has been reported in some gas–liquid reactors, and it is important to predict and prevent its occurrence for the safe operation of the reactors. However, the fundamental knowledge on the self-induced sloshing by bubble flow, such as the frequency and amplitude, is insufficient, and the occurrence condition has not been clarified. The purpose of this study is to investigate the characteristics of self-induced sloshing by bubble flow experimentally. We attempt to reproduce self-induced sloshing by using computational fluid dynamics (CFD) and establish a CFD model for the prediction of the occurrence of self-induced sloshing. In the experiments, air bubbles were dispersed into a liquid from the bottom of a rectangular vessel. The effects of the air flow rate and static liquid height on the characteristics of self-induced sloshing were investigated experimentally by image analysis. The occurrence of self-induced sloshing was confirmed by increasing the airflow rate at a specific static liquid height. The amplitude reached a maximum at the static liquid height, where self-induced sloshing was most likely to occur, and the frequency decreased with increasing static liquid height. Next, in order to reproduce the self-induced sloshing through CFD, an appropriate drag model of the bubbles was selected. Although the amplitude was overestimated due to the absence of the foam layer, the predicted frequency agreed well with the experimental value. Finally, the movement of the circulation flow was analyzed, and its correlation with the self-induced sloshing was clarified.

Chemical Reaction Engineering
Process Systems Engineering and Safety
  • Long-hao Li, Yong-shou Dai
    原稿種別: Research Paper
    2021 年 54 巻 2 号 p. 63-71
    発行日: 2021/02/20
    公開日: 2021/02/20
    ジャーナル 認証あり

    The time-varying and multi-dimensional characteristics are major causes of the low performance of soft sensors in chemical processes. To solve the problem, an improved adaptive soft sensor modeling method is proposed. This method obtains predicted deviation by modular steps of moving window and evaluates deterioration of soft sensors via ttest adaptively. Besides, this paper combines the moving window-autoassociative neural network (AANN) method to update both the modeling auxiliary variable and the auxiliary variable data. Data simulation and result analysis obtained via a continuous stirred tank reactor (CSTR) and a debutanizer column process (DCP) show that the improved adaptive soft sensor modeling method proposed in this paper can evaluate the deterioration of soft sensors and update the soft sensor model adaptively, and improve the predicted performance of soft sensors for time-varying and multi-dimensional chemical processes.

Materials Engineering and Interfacial Phenomena
  • Ryota Miyamoto, Shuntaro Amari, Hiroshi Takiyama
    原稿種別: Short Communication
    2021 年 54 巻 2 号 p. 72-76
    発行日: 2021/02/20
    公開日: 2021/02/20
    ジャーナル 認証あり

    Removing the mother liquor from crystalline agglomerated particles is important to improve crystal quality. Reslurry is one of the operation methods for replacing the mother liquor and recovering purity. The properties of agglomerated crystalline particles are modified by crystallization, which affect the reslurry rate. There are no reported studies on the design of the crystallization process for improving the reslurry rate. The effects of the properties of crystalline agglomerates exerted by the anti-solvent crystallization process on the reslurry rate are discussed. The reslurry was performed using particles of various sizes prepared by controlling the agitation speed during crystallization. The removal ratio was calculated to evaluate the relationship between the properties of the crystalline agglomerates and the reslurry rate. Kinetic studies revealed that the reslurry rate was dependent on the particle size. Thus, a design strategy involving the modification of particle properties in crystallization for improving the reslurry rate is proposed.

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