A practical CFD modeling approach to estimate outlet boundary conditions of industrial multistage spray dryers

inert particle flow field investigation

Sepideh Afshar, Lloyd Metzger, Hasmukh Patel, Cordelia Selomulya, Meng Wai Woo

Research output: Contribution to journalArticleResearchpeer-review

Abstract

Industrial multistage spray drying systems often have limited in situ process measurements to provide sufficient information for computational fluid dynamics (CFD) simulations of the primary drying chamber. In this case study on the spray dryer at Davis Dairy Plant (South Dakota State University), uncertainties were encountered in specifying the outlet boundary conditions of the spray drying chamber with two outlets: the side outlet and the bottom outlet leading to the second stage external vibrating bed. Using the available data on the vacuum pressure of the chamber, a numerical framework was introduced to approximate suitable outlet boundary conditions for the drying chamber. The procedure involved analyzing the ratio of the airflow rate between the two outlets and using a pseudo-tracer inert particle injection analysis. The goal of this approach was to determine a suitable range of outlet vacuum pressure that will lead to realistic particle movement behaviors during the actual plant operation. The protocol developed here will be a useful tool for CFD modeling of large scale multistage spray drying systems. Abbreviations: ARC: Australian Research Council; CFD: Computational Fluid Dynamics; FFT: Fast Fourier Transform; MCC: Micellar Casein Concentrate; PRESTO: Pressure Staggering Option; SDSU: South Dakota State University; SIMPLE: Semi − Impilicit Method for Pressure Linked Equations; WPC: Whey Protein Concentrate.

Original languageEnglish
Pages (from-to)824-838
Number of pages15
JournalDrying Technology
Volume37
Issue number7
DOIs
Publication statusPublished - 2019

Keywords

  • Boundary conditions
  • computational fluid dynamics simulation
  • multistage spray drying

Cite this

Afshar, Sepideh ; Metzger, Lloyd ; Patel, Hasmukh ; Selomulya, Cordelia ; Woo, Meng Wai. / A practical CFD modeling approach to estimate outlet boundary conditions of industrial multistage spray dryers : inert particle flow field investigation. In: Drying Technology. 2019 ; Vol. 37, No. 7. pp. 824-838.
@article{2f3488bcd3ff4467b5008fd4105097a8,
title = "A practical CFD modeling approach to estimate outlet boundary conditions of industrial multistage spray dryers: inert particle flow field investigation",
abstract = "Industrial multistage spray drying systems often have limited in situ process measurements to provide sufficient information for computational fluid dynamics (CFD) simulations of the primary drying chamber. In this case study on the spray dryer at Davis Dairy Plant (South Dakota State University), uncertainties were encountered in specifying the outlet boundary conditions of the spray drying chamber with two outlets: the side outlet and the bottom outlet leading to the second stage external vibrating bed. Using the available data on the vacuum pressure of the chamber, a numerical framework was introduced to approximate suitable outlet boundary conditions for the drying chamber. The procedure involved analyzing the ratio of the airflow rate between the two outlets and using a pseudo-tracer inert particle injection analysis. The goal of this approach was to determine a suitable range of outlet vacuum pressure that will lead to realistic particle movement behaviors during the actual plant operation. The protocol developed here will be a useful tool for CFD modeling of large scale multistage spray drying systems. Abbreviations: ARC: Australian Research Council; CFD: Computational Fluid Dynamics; FFT: Fast Fourier Transform; MCC: Micellar Casein Concentrate; PRESTO: Pressure Staggering Option; SDSU: South Dakota State University; SIMPLE: Semi − Impilicit Method for Pressure Linked Equations; WPC: Whey Protein Concentrate.",
keywords = "Boundary conditions, computational fluid dynamics simulation, multistage spray drying",
author = "Sepideh Afshar and Lloyd Metzger and Hasmukh Patel and Cordelia Selomulya and Woo, {Meng Wai}",
year = "2019",
doi = "10.1080/07373937.2018.1464473",
language = "English",
volume = "37",
pages = "824--838",
journal = "Drying Technology",
issn = "0737-3937",
publisher = "Taylor & Francis",
number = "7",

}

A practical CFD modeling approach to estimate outlet boundary conditions of industrial multistage spray dryers : inert particle flow field investigation. / Afshar, Sepideh; Metzger, Lloyd; Patel, Hasmukh; Selomulya, Cordelia; Woo, Meng Wai.

In: Drying Technology, Vol. 37, No. 7, 2019, p. 824-838.

Research output: Contribution to journalArticleResearchpeer-review

TY - JOUR

T1 - A practical CFD modeling approach to estimate outlet boundary conditions of industrial multistage spray dryers

T2 - inert particle flow field investigation

AU - Afshar, Sepideh

AU - Metzger, Lloyd

AU - Patel, Hasmukh

AU - Selomulya, Cordelia

AU - Woo, Meng Wai

PY - 2019

Y1 - 2019

N2 - Industrial multistage spray drying systems often have limited in situ process measurements to provide sufficient information for computational fluid dynamics (CFD) simulations of the primary drying chamber. In this case study on the spray dryer at Davis Dairy Plant (South Dakota State University), uncertainties were encountered in specifying the outlet boundary conditions of the spray drying chamber with two outlets: the side outlet and the bottom outlet leading to the second stage external vibrating bed. Using the available data on the vacuum pressure of the chamber, a numerical framework was introduced to approximate suitable outlet boundary conditions for the drying chamber. The procedure involved analyzing the ratio of the airflow rate between the two outlets and using a pseudo-tracer inert particle injection analysis. The goal of this approach was to determine a suitable range of outlet vacuum pressure that will lead to realistic particle movement behaviors during the actual plant operation. The protocol developed here will be a useful tool for CFD modeling of large scale multistage spray drying systems. Abbreviations: ARC: Australian Research Council; CFD: Computational Fluid Dynamics; FFT: Fast Fourier Transform; MCC: Micellar Casein Concentrate; PRESTO: Pressure Staggering Option; SDSU: South Dakota State University; SIMPLE: Semi − Impilicit Method for Pressure Linked Equations; WPC: Whey Protein Concentrate.

AB - Industrial multistage spray drying systems often have limited in situ process measurements to provide sufficient information for computational fluid dynamics (CFD) simulations of the primary drying chamber. In this case study on the spray dryer at Davis Dairy Plant (South Dakota State University), uncertainties were encountered in specifying the outlet boundary conditions of the spray drying chamber with two outlets: the side outlet and the bottom outlet leading to the second stage external vibrating bed. Using the available data on the vacuum pressure of the chamber, a numerical framework was introduced to approximate suitable outlet boundary conditions for the drying chamber. The procedure involved analyzing the ratio of the airflow rate between the two outlets and using a pseudo-tracer inert particle injection analysis. The goal of this approach was to determine a suitable range of outlet vacuum pressure that will lead to realistic particle movement behaviors during the actual plant operation. The protocol developed here will be a useful tool for CFD modeling of large scale multistage spray drying systems. Abbreviations: ARC: Australian Research Council; CFD: Computational Fluid Dynamics; FFT: Fast Fourier Transform; MCC: Micellar Casein Concentrate; PRESTO: Pressure Staggering Option; SDSU: South Dakota State University; SIMPLE: Semi − Impilicit Method for Pressure Linked Equations; WPC: Whey Protein Concentrate.

KW - Boundary conditions

KW - computational fluid dynamics simulation

KW - multistage spray drying

UR - http://www.scopus.com/inward/record.url?scp=85053423255&partnerID=8YFLogxK

U2 - 10.1080/07373937.2018.1464473

DO - 10.1080/07373937.2018.1464473

M3 - Article

VL - 37

SP - 824

EP - 838

JO - Drying Technology

JF - Drying Technology

SN - 0737-3937

IS - 7

ER -