Cited by 14Granular flow and fluidized bedsTopology Optimization in EngineeringMineral Processing and Grinding

Novel designs of blade mixer impellers from the discrete element method and topology optimization

Castro, Michael T., Ocon, Joey D.·2024·Chemical Engineering Journal

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Registry

Crossref · 10.1016/j.cej.2024.151863

Cites

46 of 46 references verified0 citation errors · 0 not checkable

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  • The use of simulation elements, numerical control methods, algorithms, and additive manufacturing, among others, can allow significant advancements in the design and optimization of elements in turbomachinery.

    “For example, the use of simulation elements, numerical control methods, algorithms, and additive manufacturing, among others, can allow significant advancements in the design and optimization of elements in turbomachinery [152,153].”

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Authors
Castro, M. T., & Ocon, J. D.
Affiliations
  • University of the Philippines Diliman (PH)
  • University of the Philippines System (PH)
Corresponding author
  • Castro, Michael T.
  • Ocon, Joey D.
Venue
Chemical Engineering Journal
Publisher
Elsevier BV
Published
2024-06
Volume
490
Pages
151863
ISSN
1385-8947 (ISSN-L)
OpenAlex
W4396621130
Cited by
14
References
46
Citations by year
2026: 7 · 2025: 4 · 2024: 3
FWCI
2.79
Type
journal article
Language
en
Open access
closed
Locations
Chemical Engineering Journal (publishedVersion)
Topics
  • Physical Sciences › Engineering › Computational Mechanics › Granular flow and fluidized beds
  • Physical Sciences › Engineering › Civil and Structural Engineering › Topology Optimization in Engineering
  • Physical Sciences › Engineering › Mechanical Engineering › Mineral Processing and Grinding
Keywords
bulk material flow, discrete element method, topology optimization, genetic algorithm, impeller blade design, mixing performance, energy consumption, particle size reduction

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