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    3D printed elastic mould granulation

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    Rahmanian_Powder_Technology_Cover_Sheet.pdf (123.9Kb)
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    Rahmanian_Powder_Technology.pdf (19.34Mb)
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    Publication date
    2019-02-15
    Author
    Okeyo, Clint
    Chowdhury, D.F.
    Cheung, K.
    Rahmanian, Nejat
    Keyword
    Continuous
    Granulation
    Elastic
    Moulding
    Thin-film
    Research Development Fund Publication Prize Award
    Rights
    © 2018 Elsevier B.V. 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
    In the pharmaceutical industry, enhanced process understanding resulting in superior control of product attributes, has the potential to save up to 20% of process engineering and product development costs during drug development. With the aim of achieving enhanced process understating, a novel approach for granulation of fine powders is presented. First, a mould with the desired particle shape and size is created using 3D printing followed by casting using elastomeric material. The formulation is prepared through wet massing and tested as a thin film on flat elastomeric membranes. The thin film itself can be a product but it also gives a good indication of coating performance before coating the patterned elastic membrane with the formulation i.e., 3D printed elastic mould granulation. Results show that following granulation and drying, granules of controlled size and shape (e.g. cubic and 500 μm), strength, friability and flowability can be formed. The method presented may allow for more robust process development in particle engineering.
    URI
    http://hdl.handle.net/10454/16700
    Version
    Accepted Manuscript
    Citation
    Okeyo C, Chowdhury DF, Cheung K et al (2019) 3D printed elastic mould granulation. Powder Technology. 344: 380-392.
    Link to publisher’s version
    https://doi.org/10.1016/j.powtec.2018.12.009
    Type
    Article
    Notes
    Research Development Fund Publication Prize Award winner, December 2018.
    Collections
    Engineering and Informatics Publications

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