Corrigendum to 'Assessing the capability of continuum and discrete particle methods to simulate gas-solids flow using DNS predictions as a benchmark' (vol 321, pg 301, 2017)
Journal Article
·
· Powder Technology
- National Energy Technology Lab. (NETL), Morgantown, WV (United States)
- Chinese Academy of Sciences (CAS), Beijing (China). State Key Lab. of Multiphase Complex Systems, Inst. of Process Engineering (IPE)
- AECOM, Morgantown, WV, (United States)
- Chinese Academy of Sciences (CAS), Beijing (China). State Key Lab. of Multiphase Complex Systems, Inst. of Process Engineering (IPE)
- Chinese Academy of Sciences (CAS), Beijing (China). State Key Lab. of Multiphase Complex Systems, Inst. of Process Engineering (IPE); AECOM, Morgantown, WV, (United States)
Published in POWDER TECHNOLOGY Volume: 349 Pages: 109-109 Published: MAY 1 2019
- Research Organization:
- National Energy Technology Laboratory (NETL), Pittsburgh, PA, Morgantown, WV, and Albany, OR (United States)
- Sponsoring Organization:
- USDOE Office of Fossil Energy (FE)
- Grant/Contract Number:
- FE0004000
- OSTI ID:
- 1569812
- Report Number(s):
- 1440342
- Journal Information:
- Powder Technology, Vol. 349; ISSN 0032-5910
- Publisher:
- ElsevierCopyright Statement
- Country of Publication:
- United States
- Language:
- English
Assessing the capability of continuum and discrete particle methods to simulate gas-solids flow using DNS predictions as a benchmark
|
journal | November 2017 |
Quantifying the non-equilibrium characteristics of heterogeneous gas–solid flow of smooth, inelastic spheres using a computational fluid dynamics–discrete element method
|
journal | March 2019 |
Similar Records
Assessing the capability of continuum and discrete particle methods to simulate gas-solids flow using DNS predictions as a benchmark
Assessment of Different Discrete Particle Methods Ability To Predict Gas-Particle Flow in a Small-Scale Fluidized Bed
On the Fidelity of Computational Models for the Flow of Milled Loblolly Pine: A Benchmark Study on Continuum-Mechanics Models and Discrete-Particle Models
Journal Article
·
2017
· Powder Technology
·
OSTI ID:1440342
+3 more
Assessment of Different Discrete Particle Methods Ability To Predict Gas-Particle Flow in a Small-Scale Fluidized Bed
Journal Article
·
2017
· Industrial and Engineering Chemistry Research
·
OSTI ID:1433640
On the Fidelity of Computational Models for the Flow of Milled Loblolly Pine: A Benchmark Study on Continuum-Mechanics Models and Discrete-Particle Models
Journal Article
·
2022
· Frontiers in Energy Research
·
OSTI ID:1874084
+6 more