DCC-DNN: A deep neural network model to predict the drag coefficients of spherical and non-spherical particles aided by empirical correlations

Presa-Reyes, Maria; Mahyawansi, Pratik; Hu, Beichao; McDaniel, Dwayne; Chen, Shu-Ching

doi:10.1016/j.powtec.2024.119388

Title: DCC-DNN: A deep neural network model to predict the drag coefficients of spherical and non-spherical particles aided by empirical correlations

Journal Article · 31 January 2024 · Powder Technology

DOI: https://doi.org/10.1016/j.powtec.2024.119388 · OSTI ID:2369064

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; Chen, Shu-Ching

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Sponsoring Organization:: USDOE Office of Fossil Energy and Carbon Management (FECM)

Grant/Contract Number:: FE0031904

OSTI ID:: 2369064

Journal Information:: Powder Technology, Journal Name: Powder Technology Journal Issue: C Vol. 435; ISSN 0032-5910

Publisher:: ElsevierCopyright Statement

Country of Publication:: Netherlands

Language:: English

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