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Predictions of Thermo-Fluid Transpor...

Fernandes, Melvy,

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Predictions of Thermo-Fluid Transport Over a Poultry Incubation Period Using High Performance Computing /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Predictions of Thermo-Fluid Transport Over a Poultry Incubation Period Using High Performance Computing // Melvy Fernandes.
Author:	Fernandes, Melvy,
Description:	1 electronic resource (95 pages)
Notes:	Source: Masters Abstracts International, Volume: 86-02.
Contained By:	Masters Abstracts International86-02.
Subject:	Aerospace engineering. -
Online resource:	https://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=31485831
ISBN:	9798383703670

Predictions of Thermo-Fluid Transport Over a Poultry Incubation Period Using High Performance Computing /
Fernandes, Melvy,

Predictions of Thermo-Fluid Transport Over a Poultry Incubation Period Using High Performance Computing /Melvy Fernandes. - 1 electronic resource (95 pages)

Source: Masters Abstracts International, Volume: 86-02.

The quality of hatchery conditions significantly impacts the hatchling health. An insight into the spatiotemporal distribution of environmental factors like temperature, ventilation, humidity, and CO2 within an incubator can be the key to reduce the pathogen spread. The objective of this study is to develop an efficient computational fluid dynamics model to predict thermo-fluid and scalar transport over an incubation period using high performance computing systems.Various modeling approaches for grid generation, inflow conditions, fan and heater modeling, and scalar transport are evaluated to identify cost effective numerical models and allow long time simulations with reliable data. The model is validated using in-house experimental measurements, showing reasonable agreement in predicting environmental conditions. Parametric studies explore the effects of fan speed and rotation direction on moisture and CO2 accumulation. Particle transport simulations provide insights into potential pathogen spread. This research demonstrates CFD's potential to provide a better understanding of complex biological systems by offering detailed understanding of spatiotemporal gradients within an incubator.

English

ISBN: 9798383703670Subjects--Topical Terms:

1002622
Aerospace engineering.
Subjects--Index Terms:

Computational fluid dynamics

Predictions of Thermo-Fluid Transport Over a Poultry Incubation Period Using High Performance Computing /
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100 1 $a Fernandes, Melvy, $e author. $0 (orcid)0009000299602660 $3 3830003
245 1 0 $a Predictions of Thermo-Fluid Transport Over a Poultry Incubation Period Using High Performance Computing / $c Melvy Fernandes.
264 1 $a Ann Arbor : $b ProQuest Dissertations & Theses, $c 2024
300 $a 1 electronic resource (95 pages)
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500 $a Source: Masters Abstracts International, Volume: 86-02.
500 $a Advisors: Narsipur, Shreyas Committee members: Bhushan, Shanti; Drewry, Jessica; Shinde, Vilas.
502 $b M.S. $c Mississippi State University $d 2024.
520 $a The quality of hatchery conditions significantly impacts the hatchling health. An insight into the spatiotemporal distribution of environmental factors like temperature, ventilation, humidity, and CO2 within an incubator can be the key to reduce the pathogen spread. The objective of this study is to develop an efficient computational fluid dynamics model to predict thermo-fluid and scalar transport over an incubation period using high performance computing systems.Various modeling approaches for grid generation, inflow conditions, fan and heater modeling, and scalar transport are evaluated to identify cost effective numerical models and allow long time simulations with reliable data. The model is validated using in-house experimental measurements, showing reasonable agreement in predicting environmental conditions. Parametric studies explore the effects of fan speed and rotation direction on moisture and CO2 accumulation. Particle transport simulations provide insights into potential pathogen spread. This research demonstrates CFD's potential to provide a better understanding of complex biological systems by offering detailed understanding of spatiotemporal gradients within an incubator.
546 $a English
590 $a School code: 0132
650 4 $a Aerospace engineering. $3 1002622
650 4 $a Bioengineering. $3 657580
650 4 $a Computer science. $3 523869
650 4 $a Fluid mechanics. $3 528155
650 4 $a Animal sciences. $3 3174829
653 $a Computational fluid dynamics
653 $a Heat transfer
653 $a Moving reference frame
653 $a Pathogen transport
653 $a Poultry incubator
653 $a Ventilation
690 $a 0538
690 $a 0202
690 $a 0984
690 $a 0475
690 $a 0204
710 2 $a Mississippi State University. $b Department of Aerospace Engineering. $e degree granting institution. $3 3830001
720 1 $a Narsipur, Shreyas $e degree supervisor.
773 0 $t Masters Abstracts International $g 86-02.
790 $a 0132
791 $a M.S.
792 $a 2024
856 4 0 $u https://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=31485831