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    Using response surface methodology to opitmize the operating parameters in a top-spray fluidized bed coating system

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    Rahmanian_Surface_and_Coatings_Technology.pdf (760.8Kb)
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    Publication date
    2018-01-25
    Author
    Seyedin, S.H.
    Ardjmand, M.
    Safekordi, A.A.
    Raygan, S.
    Zhalehrajabi, E.
    Rahmanian, Nejat
    Keyword
    Fluidized bed; Top-spray coating; Pneumatic nozzle; RSM
    Rights
    © 2017 Elsevier. Reproduced in accordance with the publisher's self-archiving policy. This manuscript version is made available under the CC-BY-NC-ND 4.0 license.
    Peer-Reviewed
    Yes
    
    Metadata
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    Abstract
    The fluidized bed coating system is a conventional process of particles coating in various industries. In this work, an experimental investigation was conducted using Response Surface Methodology (RSM) to optimize the coating mass of particles in a top-spray fluidized bed coating. The design of experiments (DOEs) is a useful tool for controlling and optimization of products in industry. Thus, DOE was conducted using MINITAB software, version 16. This process used a sodium silicate solution for coating the sodium percarbonate particles. The effect of the fluidization air flow rate, atomization air flow rate and liquid flow rate on the coating mass in the top-spray fluidized bed coating was investigated. The experimental results indicated that the coating mass of particles is directly proportional to the liquid flow rate of the coating solution and inversely proportional to the air flow rate. It was demonstrated that the flow rate of the coating solution had the greatest influence on the coating efficiency.
    URI
    http://hdl.handle.net/10454/13980
    Version
    Accepted Manuscript
    Citation
    Seyedin SH, Ardjmand M, Safekordi AA et al (2018) Using response surface methodology to optimize the operating parameters in a top-spray fluidized bed coating system. Surface and Coatings Technology. 334: 43-49.
    Link to publisher’s version
    https://doi.org/10.1016/j.surfcoat.2017.11.003
    Type
    Article
    Collections
    Engineering and Informatics Publications

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