Solids Mixing Rates of Geldart A and B Powders Predicted by the Two Fluid Model

Mohammadsadegh Salehi; Maryam Askarishahi; Stefan Radl

Solids Mixing Rates of Geldart A and B Powders Predicted by the Two Fluid Model

Mohammadsadegh Salehi, Maryam Askarishahi, Stefan Radl

Research output: Contribution to conference › Poster › peer-review

Abstract

This work aims on estimating mixing rates for different fluidization condition an particle properties (i.e., particle size and density). In industrial practice such information is of high relevance since mixing may compete with heat & mass transfer, fast reaction.

Original language	English
Publication status	Published - 12 Nov 2019
Event	AIChE Annual Meeting 2019: AIChE 2019 - Orlando, United States Duration: 10 Nov 2019 → 15 Nov 2019

Conference

Conference	AIChE Annual Meeting 2019
Abbreviated title	AIChE 2019
Country/Territory	United States
City	Orlando
Period	10/11/19 → 15/11/19

Keywords

Computational fluid dynamics

ASJC Scopus subject areas

Fluid Flow and Transfer Processes

Cite this

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title = "Solids Mixing Rates of Geldart A and B Powders Predicted by the Two Fluid Model",

abstract = "This work aims on estimating mixing rates for different fluidization condition an particle properties (i.e., particle size and density). In industrial practice such information is of high relevance since mixing may compete with heat & mass transfer, fast reaction.",

keywords = "Computational fluid dynamics",

author = "Mohammadsadegh Salehi and Maryam Askarishahi and Stefan Radl",

year = "2019",

month = nov,

day = "12",

language = "English",

note = "AIChE Annual Meeting 2019 : AIChE 2019, AIChE 2019 ; Conference date: 10-11-2019 Through 15-11-2019",

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TY - CONF

T1 - Solids Mixing Rates of Geldart A and B Powders Predicted by the Two Fluid Model

AU - Salehi, Mohammadsadegh

AU - Askarishahi, Maryam

AU - Radl, Stefan

PY - 2019/11/12

Y1 - 2019/11/12

N2 - This work aims on estimating mixing rates for different fluidization condition an particle properties (i.e., particle size and density). In industrial practice such information is of high relevance since mixing may compete with heat & mass transfer, fast reaction.

AB - This work aims on estimating mixing rates for different fluidization condition an particle properties (i.e., particle size and density). In industrial practice such information is of high relevance since mixing may compete with heat & mass transfer, fast reaction.

KW - Computational fluid dynamics

M3 - Poster

T2 - AIChE Annual Meeting 2019

Y2 - 10 November 2019 through 15 November 2019

ER -