In this thesis, trajectory computations of chaff particles ejected from a medium weight utility helicopter are performed using computational fluid dynamics. Since these chaff particles are ejected from a helicopter and carried by its flow field, it is necessary to compute and include the effects of the helicopter flow field in general and engine hot gases, main and tail rotor wakes in particular. The commercial code FLUENT is used for flow field and trajectory computations. Both main rotor and tail rotor are simulated by the so-called Virtual Blade Model in a transient fashion. Flows through the engine inlets and exhausts are treated via appropriate boundary conditions in the analysis. The generic ROBIN geometry is studied first in order to assess the accuracy of the Virtual Blade Model and various turbulence models. The computational solutions related to the ROBIN geometry are validated against the available experimental data. Flowfield and trajectory computations of chaff particles are done at a forward flight condition at which certain flight data and chaff trajectory data were acquired by ASELSAN, Inc. In the flight test, three successive chaff decoy ejections were conducted, and the chaff cloud distributions were recorded by two high-speed cameras positioned on two different locations on the helicopter. Numerical calculations employ the post-processed camera recordings for setting the initial distributions of the chaff particles. Then, the computational results related to the chaff particle trajectories are validated by comparing to the recorded transient chaff cloud distributions from the ASELSAN flight test. For post-processing of the recorded chaff distributions, an experimental analysis commercial code called TrackEye is used. It is found that the numerical simulations capture the trends of chaff particle distributions reasonably well.

Doctor of Philosophy / Department of Mechanical and Nuclear Engineering / M.H. Hosni / Z.C. Zheng / In order to study the capability of computational methods in investigating the mechanisms associated with disease and contaminants transmission in aircraft cabins, the Computational Fluid Dynamics (CFD) models are used for the simulation of turbulent airflow, tracer gas diffusion, and particle dispersion in a generic aircraft cabin mockup. The CFD models are validated through comparisons of the CFD predictions with the corresponding experimental measurements. It is found that using Large Eddy Simulation (LES) with the Werner-Wengle wall function, one can predict unsteady airflow velocity field with relatively high accuracy. However in the middle region of the cabin mockup, where the recirculation of airflow takes place, the accuracy is not as good as that in other locations. By examining different k-ε models, the current study recommends the use of the RNG k-ε model with the non-equilibrium wall function as a Reynolds Averaged Navier Stokes (RANS) model for predicting the steady-state airflow velocity data. It is also found that changing the cabin air-inlet nozzle height has a significant effect on the flow behavior in the middle and upper part of the cabin, while the flow pattern in the lower part is not affected as much. Through the use of LES and species transport model in simulating tracer gas diffusion, very good agreement between predicted and measured tracer gas concentration data is observed for some monitoring locations, but the agreement level is not uniform for all the sampling point locations. The reasons for the deviations between predictions and measurements for those locations are discussed. The Lagrange-Euler approach is invoked in the particle dispersion simulations. In this approach, the equation of motion for the discrete phase is coupled with the continuous phase governing equations through the calculation of drag and buoyancy forces acting on particles. The continuous phase flow is turbulent and RANS is employed in order to calculate the continuous phase velocity field. A complete study on grid dependence for RANS simulation is performed through a controllable regional mesh refinement scheme. The grid dependence study shows that using unstructured grid with tetrahedral and hybrid elements in the refinement region are more efficient than using structured grid with hexahedral elements. The effect of turbulence on the particle dispersion is taken into account by using a stochastic tracking method (Discrete Random Walk model). One of the significant features of this study is the investigation of the effect of the number of tries on the accuracy of particle concentration predictions when Discrete Random Walk is used to model turbulent distribution of particles. Subsequently, the optimum number of tries to obtain the most accurate predictions is determined. In accordance with the corresponding experimental data, the effect of particle size on particle distribution is also studied and discussed through the simulation of two different sizes of mono-disperse particles in the cabin with straight injection tube, i.e., 3µm and 10µm. Due to the low particle loading, neglecting the effect of particles motion on the continuous phase flow-field seems to be a reasonable, simplifying assumption in running the simulations. However, this assumption is verified through the comparison of the results from 1-way and 2-way coupling simulations. Eventually through the simulations for the particle injection using the cone diffuser, the effects of cabin pressure gradient as well as the particle density on particles dispersion behavior are studied and discussed. In the last part of this dissertation, the turbulent airflow in a full-scale Boeing 767 aircraft cabin mockup with eleven rows of seats and manikins is simulated using steady RANS method. The results of this simulation cannot only be used to study the airflow pattern, but also can be used as the initial condition for running the tracer gas diffusion and particle dispersion simulations in this cabin mockup.

This master’s thesis deals with analytical and numerical description of surface gravity waves. Wave theories and their influence on water particle movement is described in the theoretical part of the thesis. Water particle moves in the same direction as wave propagation and this phenomenon is called Stokes drift. It has a significant influence on sediment transport and floating particle movement at water free surface. The experimental part consists of wave profile monitoring and water particle tracking in a wave flume with wave generator and beach model. The experimental results are compared with numerical simulation performed in the ANSYS Fluent software. Finally, the wave profiles obtained from simulation are compared with experimental wave profiles extracted by digital image processing.

Gas atomization is regarded as a reliable method for creating high-quality metal powders from molten metal. The liquid metal is fed into the chamber as a free-falling stream through a nozzle, where it is impinged by high-velocity gas jets, causing degeneration and production of metal droplets, which solidify to create metal powders. As the metal droplets fall lower towards the collection hoopers, the solidification process begins. As a result, having a strong handle on the process parameters helps to produce metal powders that are fine, spheroidized, and have good characteristics. A free fall atomizer with twelve discrete nozzles, having a cylindrical internal profile, arranged in two different levels has been employed to introduce high-velocity gas jets into the chamber, for the current study. A cross-sectional sketch created by Uddeholm AB provided the geometric dimensions, and CFD was used to generate a simulation experiment for the system. Fluent setup input values were derived from literature data. The primary objective of the study is to analyze the influence of varying inlet pressure and the number of discrete gas jet nozzles, on the flow behavior of the atomizing gas. Additionally, the Discrete Phase Model approach was adopted to study the interaction of particles with the gas flow. The simulation model was validated by carrying out the visualization experiment, Schlieren imaging. From the study, it was realized that the results of the numerical model showed a mismatch relative to the experimental value. This can be attributed to the discretization technique, input parameters and the numerical model employed in this study. However, the parametric study provided a qualitative analysis regarding the influence of input parameters on flow behavior. It was studied that with increasing the inlet pressure and number of discrete nozzles there is a subsequent increase in the maximum velocity attained by the atomizing gas, resulting in a decrease in velocity of melt introduced into the system. Additionally, a radial pressure gradient was observed to be present that increased in accordance with the parameters, resulting in reduction of the melt film thickness produced during pre-filming mechanism. However, the Discrete Phase Model provided evidence that with increment in the gas to melt ratio, the number of particles that get dispersed to make collision with the domain wall increased. Thus, a subsequent increase in downstream velocity was required to maintain the particles within the domain walls as the study parameters were increased. / Gasatomisering betraktas vara en tillförlitlig metod för att skapa högkvalitativt metallpulver från smält metall. Den flytande metallen matas in i en kammare som en fri fallande ström genom ett munstycke, där den trycks in av höghastighetsstrålar. Vilket skapar en degeneration och en bildandet av metalldroppar som stelnar till att metallpulver kan skapas. Stelningsprocessen börjar när metalldropparna faller emot uppsamlingsbågarna. Ett fint och sfärisk metall metallpulver med goda egenskaper kan produceras genom att ha en god kontroll på processparametrarna. I denna studie har en ”Free Fall Atomizer” med tolv diskreta munstycken med en cylindrisk profil arrangerade i två olika nivåer använts för att introducera höghastighetsstrålar i kammaren. De geometriska dimensionerna var försedda från en ritning i tvärsnitt skapad av Uddeholms AB och samt användes en CFD för att generera ett simulationsexperiment av systemet. Ingångsvärden för inställningarna av flödena härleddes från litteraturdata. Huvudsyftet med studien var att studera flödesbeteendet av den atomiserande gasen genom att analysera inflytandet av att variera ingångstrycket och antalet diskreta gasstrålmunstycken. Dessutom togs det till en diskret fasmodell för att studera partiklarnas interaktion med gasflödet. Simulationsmodellen validerades genom att utföra ett visualiseringsexperiment genom Schlierenfotografering. Det framgick i studien att den numeriska modellens resultat inte stämde överens med det experimentella värdet. Detta kan attribueras till diskretiseringstekniken, inmatningsparametrarna och den numeriska modellen som användes i studien. Hur som helst försedde den parametriska studien en kvalitativ analys angående inflytandet av inmatningsparametrarna på flödesbeteendet. Det framgick att en ökning av ingångstrycket och av antalet av diskreta munstycken gav en påföljande ökning i den maximala hastigheten som den atomiserande gasen kan erhålla. Vilket resulterar till en sänkning av hastigheten av smältan som introduceras till systemet. Dessutom observerades en radiell tryckgradient vara närvarande som ökade i enlighet med parametrarna. Det resulterade i en reduktion av smältfilmtjockleken som producerades under förfilmingsmekaniskmen. Trots det visade den diskreta fasmodellen att en ökning av gas till smältförhållandet också ökade antalet partiklar som sprids vidare för att kollidera med domänväggen. Således krävdes en påföljande ökning av nedströmningshastigheten för att bibehålla partiklarna inom domänväggar när studiens parametrar ökade.