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For: Yurata T, Gidaspow D, Piumsomboon P, Chalermsinsuwan B. The importance of parameter-dependent coefficient of restitution in discrete element method simulations. ADV POWDER TECHNOL 2021;32:1004-12. [DOI: 10.1016/j.apt.2021.02.005] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/23/2022]
Number Cited by Other Article(s)
1
Mass flow rate prediction of screw conveyor using artificial neural network method. POWDER TECHNOL 2022. [DOI: 10.1016/j.powtec.2022.117757] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
2
Melo KR, de Pádua TF, Lopes GC. A coefficient of restitution model for particle–surface collision of particles with a wide range of mechanical characteristics. ADV POWDER TECHNOL 2021. [DOI: 10.1016/j.apt.2021.10.023] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/19/2022]
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