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.
| Identifer | oai:union.ndltd.org:MSSTATE/oai:scholarsjunction.msstate.edu:td-7305 |
| Date | 13 August 2024 |
| Creators | Fernandes, Melvy |
| Publisher | Scholars Junction |
| Source Sets | Mississippi State University |
| Detected Language | English |
| Type | text |
| Format | application/pdf |
| Source | Theses and Dissertations |
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