04388nam a22006375i 4500 978-3-031-67729-8 DE-He213 20251030113104.0 cr nn 008mamaa 240925s2024 sz | s |||| 0|eng d 9783031677298 978-3-031-67729-8 10.1007/978-3-031-67729-8 doi TJ807-830 THX bicssc TEC031010 bisacsh THV thema Zhou, Ling. author. aut http://id.loc.gov/vocabulary/relators/aut 84963 Discrete Element Method for Multiphase Flows with Biogenic Particles [electronic resource] : Agriculture Applications / by Ling Zhou, Mahmoud A. Elemam, Ramesh K. Agarwal, Weidong Shi. 1st ed. 2024. Cham : Springer Nature Switzerland : Imprint: Springer, 2024. XV, 172 p. 69 illus., 65 illus. in color. online resource. text txt rdacontent computer c rdamedia online resource cr rdacarrier text file PDF rda Chapter 1. Introduction -- Chapter 2. Aerodynamic Systems -- Chapter 3. Modeling of Aerodynamic Systems -- Chapter 4. Computational Fluid Dynamic (CFD) -- Chapter 5. Discrete Element Method (DEM) -- Chapter 6. CFD–DEM Coupling -- Chapter 7. CFD–DEM Applications -- Chapter 8. Challenges and Future Outlook. This book presents the advanced theory and application of the combined Computational Fluid Dynamics – Discrete Element Method (CFD-DEM) to multiphase flow simulations of the gas and bio-particulate matter of non-uniformly shaped biomass. It explores how DEM can simulate the complex behaviour of biomass particles, such as their packing in the multiphase flows that occurs in the agricultural product processing industries. It offers an overview of aerodynamic systems, such as cyclone separators, used in the agricultural processing industry. A detailed description of DEM modeling, including the particle-particle, particle-boundary, and particle-fluid interactions in the context of biomass particles of varying sizes and shapes, is provided. Coverage includes the critical application of CFD-DEM simulation technology in designing and optimizing grain handling and processing equipment and the application of extended DEM to other granular flows of complex particles like sand, powders, and dust from mines where clumping and agglomeration occur. The application of DEM in modeling and simulation of complex multiphase systems can help improve productivity, reduce costs, and increase efficiency in the agricultural industry. Provides state-of-the-art coverage of the discrete element method (DEM) for multiphase flows with biomass particles; Offers computational fluid dynamics (CFD) modeling and turbulence models for turbulent multiphase flows; Describes granular flow and biomass modeling in aerodynamic systems and cyclone separators in the agriculture industry. Renewable energy sources. 58133 Biomaterials. Nanoparticles. 66722 Fluid mechanics. Biotechnology. 65162 Mathematical physics. Computer simulation. Renewable Energy. 64206 Biomaterials. Nanoparticles. 66722 Engineering Fluid Dynamics. Chemical Bioengineering. 67761 Computational Physics and Simulations. 65564 Elemam, Mahmoud A. author. aut http://id.loc.gov/vocabulary/relators/aut 84964 Agarwal, Ramesh K. author. (orcid)0000-0002-9642-1023 https://orcid.org/0000-0002-9642-1023 aut http://id.loc.gov/vocabulary/relators/aut 70314 Shi, Weidong. author. aut http://id.loc.gov/vocabulary/relators/aut 84965 SpringerLink (Online service) Springer Nature eBook Printed edition: 9783031677281 Printed edition: 9783031677304 Printed edition: 9783031677311 https://doi.org/10.1007/978-3-031-67729-8 ZDB-2-ENE ZDB-2-SXEN 63687 63687