Airflow and particle transport through the nasal cavity was studied using Computational Fluid Dynamics (CFD). A computational model of the human nasal cavity was reconstructed through CT scans. The process involved defining the airway outline through points in space that had to be fitted with a closed surface. The airflow was first simulated and detailed airflow structures such as local vortices, wall shear stresses, pressure drop and flow distribution were obtained. In terms of heat transfer the differences in the width of the airway especially in the frontal regions was found to be critical as the temperature difference was greatest and therefore heating of the air is expedited when the air is surrounded by the hotter walls. Understanding the effects of the airway geometry on the airflow patterns allows better predictions of particle transport through the airway. Inhalation of foreign particles is filtered by the nasal cilia to some degree as a defence mechanism of the airway. Particles such as asbestos fibres, pollen and diesel fumes can be considered as toxic and lead to health problems. These particles were introduced and the effects of particle morphology were considered by customising the particle trajectory equation. This mainly included the effects of the drag correlation and its shape factor. Local particle deposition sites, detailed deposition efficiencies and particle trajectories were obtained. High inertial particles tended to be filtered within the anterior regions of the cavity due to a change in direction of the airway as the air flow changes from vertical at the inlet to horizontal within the main nasal passage. Inhaled particles with pharmacological agents are often deliberately introduced into the nasal airway with a target delivery. The mucous lined airway that is highly vascular provides an avenue for drug delivery into the blood stream. An initial nasal spray experiment was performed to determine the parameters that were important for nasal spray drug delivery. The important parameters were determined to be the spray angle, initial particle velocity and particle swirl. It was found that particles were formed at a break-up length at a cone diameter greater than the spray nozzle diameter. The swirl fraction determined how much of the velocity magnitude went into a tangential component. By combining a swirling component along with a narrow spray into the main streamlines, greater penetration of larger particles into the nasal cavity may be possible. These parameters were then used as the boundary conditions for a parametric study into sprayed particle drug delivery within the CFD domain. The results were aimed to assist in the design of more efficient nasal sprays.

In this study, Computational Fluid Dynamics Modeling (CFD) was applied to model a room-and-pillar mining working area to investigate the airflow patterns for dust control. Room-and-pillar mining is a conventional underground mining technique used for the extraction of coal by cutting excavations called "rooms" using a continuous mining machine and leaving the remaining coal as "pillars" for supporting the coal seam. The FLUENT software was used to analyze the airflow in the mine whose structure was designed and meshed in GAMBIT. The analysis was carried out in four different stages. First, airflow patterns were studied in the roadway without any equipment. Next, a line curtain, which extends along the height of the coal seam, was simulated in the roadway to direct the flow of air towards the active mining face. In the third stage, a continuous miner was inserted between the mining face and the end of the line curtain. Three and six meters deep box and slab cuts were simulated and the airflow patterns were investigated. In the final stage, a wet scrubber was simulated as an integral part of the continuous miner and the effect of the scrubber on the airflow in the box and slab cuts were studied. Dead zones (areas with limited airflow) and recirculation areas were observed using velocity distribution contours. A parametric study was conducted to evaluate the effects of distance of the curtain from the pillar rib (Dcr), scrubber pressure (Psc) and height of the coal seam (Ho). The data were plotted as functions of selected dimensionless variables. It was seen that wet scrubber increased the air in the LOXC (Last open cross cut) by 7.6% and was also proved that extension of line curtain along with the cut. The results of these studies are being used to develop guidelines for dust control in the face area.

Doctor of Philosophy / Architects have long been focused on designing eco-friendly buildings, but there's a growing realization that focusing solely on energy efficiency isn't enough. Occupants spend the majority of their time indoors, and the quality of these indoor spaces profoundly impacts their well-being and productivity. Yet, often overlooked, are factors like lighting, air quality, and noise that can significantly affect how occupants feel and perform. With rising urbanization and recent experiences during the COVID-19 pandemic highlighting the importance of indoor environments, there's a renewed emphasis on user-centric design. Biophilic design, which incorporates elements of nature into buildings, has emerged as a promising approach to enhancing occupants' health, wellness, and well-being. Airflow, a critical aspect of biophilic design, plays a key role in creating healthier indoor spaces. This study aims to develop a prototype system that mimics natural airflow patterns indoors to promote occupants' health and well-being. By analyzing weather data, natural airflow features were identified and used to inform the design of a mechanical system. The goal is to create settings that replicate natural airflow patterns in indoor environments. Ultimately, this research lays the groundwork for future studies to explore how such biophilic systems impact occupants' physiological and psychological health. By prioritizing user experience in building design, indoor spaces that not only conserve energy but also enhance the quality of life could be developed.