國立高雄大學圖資館 |

Language: English

Back

Discrete element method for multiphase flows with biogenic particlesagriculture applications /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Discrete element method for multiphase flows with biogenic particlesby Ling Zhou ... [et al.].
Reminder of title:	agriculture applications /
other author:	Zhou, Ling.
Published:	Cham :Springer Nature Switzerland :2024.
Description:	xv, 172 p. :ill. (some col.), digital ;24 cm.
Contained By:	Springer Nature eBook
Subject:	Discrete element method.
Online resource:	https://doi.org/10.1007/978-3-031-67729-8
ISBN:	9783031677298$q(electronic bk.)

Discrete element method for multiphase flows with biogenic particlesagriculture applications /
Discrete element method for multiphase flows with biogenic particlesagriculture applications /[electronic resource] :by Ling Zhou ... [et al.]. - Cham :Springer Nature Switzerland :2024. - xv, 172 p. :ill. (some col.), digital ;24 cm.

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.

ISBN: 9783031677298$q(electronic bk.)

Standard No.: 10.1007/978-3-031-67729-8doiSubjects--Topical Terms:

722507
Discrete element method.

LC Class. No.: TA347.F5

Dewey Class. No.: 518.25

Discrete element method for multiphase flows with biogenic particlesagriculture applications /
LDR:02892nmm a2200325 a 4500 001 669358
003 DE-He213
005 20240925124722.0
006 m d
007 cr nn 008maaau
008 250120s2024 sz s 0 eng d
020 $a 9783031677298$q(electronic bk.)
020 $a 9783031677281$q(paper)
024 7 $a 10.1007/978-3-031-67729-8 $2 doi
035 $a 978-3-031-67729-8
040 $a GP $c GP
041 0 $a eng
050 4 $a TA347.F5
072 7 $a THX $2 bicssc
072 7 $a TEC031010 $2 bisacsh
072 7 $a THV $2 thema
082 0 4 $a 518.25 $2 23
090 $a TA347.F5 $b D611 2024
245 0 0 $a Discrete element method for multiphase flows with biogenic particles $h [electronic resource] : $b agriculture applications / $c by Ling Zhou ... [et al.].
260 $a Cham : $b Springer Nature Switzerland : $b Imprint: Springer, $c 2024.
300 $a xv, 172 p. : $b ill. (some col.), digital ; $c 24 cm.
505 0 $a 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.
520 $a 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.
650 0 $a Discrete element method. $3 722507
650 0 $a Computational fluid dynamics. $3 376217
650 1 4 $a Renewable Energy. $3 918996
650 2 4 $a Biomaterials. $3 274415
650 2 4 $a Nanoparticles. $3 210980
650 2 4 $a Engineering Fluid Dynamics. $3 273893
650 2 4 $a Chemical Bioengineering. $3 918702
650 2 4 $a Computational Physics and Simulations. $3 913439
700 1 $a Zhou, Ling. $3 982285
710 2 $a SpringerLink (Online service) $3 273601
773 0 $t Springer Nature eBook
856 4 0 $u https://doi.org/10.1007/978-3-031-67729-8
950 $a Energy (SpringerNature-40367)