Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/152261
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dc.contributor.authorFarizhandi, Amir Abbas Kazemzadehen_US
dc.contributor.authorZhao, Hanen_US
dc.contributor.authorChen, Theodoreen_US
dc.contributor.authorLau, Raymonden_US
dc.date.accessioned2021-08-05T01:55:43Z-
dc.date.available2021-08-05T01:55:43Z-
dc.date.issued2020-
dc.identifier.citationFarizhandi, A. A. K., Zhao, H., Chen, T. & Lau, R. (2020). Evaluation of material properties using planetary ball milling for modeling the change of particle size distribution in a gas-solid fluidized bed using a hybrid artificial neural network-genetic algorithm approach. Chemical Engineering Science, 215, 115469-. https://dx.doi.org/10.1016/j.ces.2020.115469en_US
dc.identifier.issn0009-2509en_US
dc.identifier.urihttps://hdl.handle.net/10356/152261-
dc.description.abstractThis study aims to use planetary ball-milling as an evaluation tool of material properties and the result is subsequently used to develop a model for the change in particle size distribution (PSD) during fluidization for a range of materials using artificial neural network (ANN) method. It is believed that material properties such as hardness, density, brittleness, structure, etc play a crucial role in the particle attrition behavior. Unfortunately, little information on material properties is available, considering the wide variety of materials present. As a result, planetary ball-milling is proposed as a fast assessment technique to identify the properties of different materials. Planetary ball milling devices are readily available in most laboratories and the reduction in PSD can resemble the particle attrition process during fluidization. A Rosin-Rammler (RR) distribution was used to describe the PSD for both fluidization and ball milling processes.en_US
dc.description.sponsorshipNational Environmental Agency (NEA)en_US
dc.language.isoenen_US
dc.relation1102108en_US
dc.relation.ispartofChemical Engineering Scienceen_US
dc.rights© 2020 Elsevier Ltd. All rights reserved.en_US
dc.subjectEngineering::Chemical engineeringen_US
dc.titleEvaluation of material properties using planetary ball milling for modeling the change of particle size distribution in a gas-solid fluidized bed using a hybrid artificial neural network-genetic algorithm approachen_US
dc.typeJournal Articleen
dc.contributor.schoolSchool of Chemical and Biomedical Engineeringen_US
dc.identifier.doi10.1016/j.ces.2020.115469-
dc.identifier.scopus2-s2.0-85077661730-
dc.identifier.volume215en_US
dc.identifier.spage115469en_US
dc.subject.keywordsParticle Size Distributionen_US
dc.subject.keywordsRosin-Rammler Distributionen_US
dc.description.acknowledgementThis work is funded by National Environmental Agency (NEA), Singapore ETRP Grant No. 1102 108.en_US
item.grantfulltextnone-
item.fulltextNo Fulltext-
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