Master of Science (MS), Wright State University, 2020, Physics

A one-dimensional kinetic particle-in-cell (PIC) MATLAB simulation was created to demonstrate the time-evolution of various plasma distributions. Building on previous plasma PIC programs written in FORTRAN and Python, this work recreates the computational and diagnostic tools of these packages in a more user- and educational-friendly development environment. Plasma quantities such as plasma frequency and species charge-mass ratios are arbitrarily defined. A one-dimensional spatial environment is defined by total length and number and size of spatial grid points. In the first time-step, charged particles are given initial positions and velocities on a spatial grid. After initialization, the program solves for the electrostatic Poisson equation at each time step to compute the force acting on each particle. Using the calculated force on each particle and the “leap-frog” method, the particle positions and velocities are updated and the motion is tracked in phase-space. Modifying parameters such as spatial perturbation, number of particles, and charge-mass ratio of each species, the time-evolution for various distributions are examined. The simulated distributions examined are categorized as the following: Cold Electron Stream, Electron Plasma Waves, Two-Stream Electron Instability, Landau Damping, and Beam-Plasma. The time evolution of the plasma distributions was studied by several methods. Tracking the electric field, charge density and particle velocities through each time step yields insight into the oscillations and wave propagation associated with each distribution. One key diagnostic missing from the original FORTRAN code was the electric field dispersion relation. The numerical dispersion relation allows for further insight into modelling plasma oscillations/waves in addition to the kinetic/field energies and electric field tracking present in the original code. Simulated results show agreement with other kinetic simulations as well as plasma theory.

Committee: Amit Sharma Ph.D. (Advisor); Ivan Medvedev Ph.D. (Committee Member); Sarah Tebbens Ph.D. (Committee Member) Subjects: Atmospheric Sciences; Atoms and Subatomic Particles; Physics; Plasma Physics

Doctor of Philosophy, The Ohio State University, 2018, Computer Science and Engineering

Subspace Simulation or Model reduction is a technique to simplify simulations of systems modeled by Ordinary Differential Equations. The essential idea is to project the high dimensional sparse equations on to lower dimensional dense equations and then re-projecting the solution back to the original space. Such a method has a much faster computation and lower memory footprint as compared to a full space simulation. Recalculating the subspace basis of a deformable body is a computationally expensive yet mandatory operation. We show that the subspace of a modified body can be efficiently obtained from the subspace of its original version if mesh changes are small. Our basic idea is to approximate the stiffness matrix by its low-frequency component, so we can calculate new linear deformation modes by solving an incremental eigenvalue decomposition problem. We also show a hybridized approach to calculate the modal derivatives and finally we demonstrate that the cubature samples trained for the original mesh can be reused in fast reduced force and stiffness matrix evaluation. Next, we handle the problem of inverse simulation in deformable bodies. We present a novel system for interactive elastic shape design in both forward and inverse fashions. Using this system, the user can choose to edit the rest shape or the quasistatic shape of an elastic solid and obtain the other shape that matches under the quasistatic equilibrium condition at the same time. The development of this system is based on the discovery that inverse quasistatic simulation can be immediately solved by Newton's method with a direct solver. To implement our simulator, we propose a Jacobian matrix evaluation scheme for the inverse elastic problem and we present step length and matrix evaluation techniques that improve the simulation performance. While our simulator is efficient, it is still not fast enough for the system to generate the result in real time. Our solution is a shape initialization met (open full item for complete abstract)

Committee: Huamin Wang (Advisor); Tamal Dey (Committee Member); Eric Fosler-Lussier (Committee Member) Subjects: Computer Science

Doctor of Philosophy, The Ohio State University, 2015, Computer Science and Engineering

The interactions among fluids and solids create many interesting phenomena that are excessively complex for manual creation in animation. It is popular to model these interactions in physically based simulation but it is challenging especially in real-time applications. Collisions handling is a major bottleneck for solid-solid interaction problems because of high computational cost of neighbor searching in space. Solid-fluid interactions are also difficult to simulate mostly because of the difference in representations of fluids and solids. Typically simulation systems use Eulerian methods for fluids and Lagrangian methods for solids. The most adopted coupling strategy uses solid velocity as boundary condition in fluid solver and integrate fluid pressure along solid boundary to apply force on solid. However, the quality of fluid animation is limited by resolution of Eulerian grid thus it cannot handle interaction with thin features on solids. In this dissertation we focus on specific types of interactions among fluids and solids and develop simulation methods with improved quality and performance toward real-time applications. First we address the problem of cloth, air, and deformable body interactions modeling in a layered structure as commonly seen in real world. We develop an accelerated collision detection method taking advantage of the layer structure to improve efficiency and an accurate anisotropic friction model to achieve fine contact details. The interaction of air and other layers is modeled using a fast air mass field model. Next, we turn to fracture simulation in solid-solid interaction, which is known to be computationally expensive in high resolution. We develop a surface refinement approach that adds fine details to existing low-resolution fracture animation with negligible extra computation cost. Finally, we explore coupling of fluid and solid with thin features. We take a stable and fast approach that couples hybrid Eulerian-Lagrangian fluid and (open full item for complete abstract)

Committee: Huamin Wang (Advisor); Roger Crawfis (Committee Member); Shen Han-wei (Committee Member) Subjects: Computer Science

Doctor of Philosophy, The Ohio State University, 2006, Computer and Information Science

Fluid animation remains one of the most challenging problems in computer graphics. Research on methods using physics-based simulation for animation has recently increased since this method has the capability of producing realistic fluid behavior. However, the primary drawback to using a simulation method is control of the resulting flow field because it is computationally expensive and highly nonlinear. The main goal of this research is to help users produce physically realistic fluid effects along a NURBS curve that can be specified directly or derived from an image or video. A linear-feedback velocity matching method is used to control the fluid flow. A physically realistic smoke flow along a user-specified path is generated by first procedurally producing a target velocity field, and then matching the velocity field obtained from a three-dimensional flow simulation with the target velocity field. The target velocity field can include various effects such as the small scale swirling motion characteristic of turbulent flows. The swirling motion is achieved by incorporating a vortex particle method into the linear feedback loop. The method is flexible in that any procedurally-generated target velocity field may be integrated with the fluid simulation. The efficacy of this approach is demonstrated by generating several three-dimensional flow animations for complex fluid paths, two-dimensional artistic fluid effects, and realistic tornado animations.

Committee: Raghu Machiraju (Advisor) Subjects: Computer Science

Doctor of Philosophy, The Ohio State University, 2024, Physics

The field of cold atom physics has been invigorated by the recent emergence of quantum droplets, self-bound mixtures of two Bose-Einstein condensates (BEC) which are stable without external confinement. Despite being composed of ultradilute gases, quantum droplets are similar to a liquid in that they are capable of remaining self-bound even when they are deformed. In this thesis, we delve into the potential of leveraging this deformability. Through solutions of the Gross–Pitaevskii (GP) equations, we demonstrate that quantum droplets can be manipulated into diverse topological configurations. This opens the door to experiments showcasing the many interesting quantum effects stemming from the interplay of topology and quantum mechanics. We also show that droplets can function as confining traps for other gases, allowing for the creation of composite BEC systems which are also self-bound. Extending this notion further, we introduce the concept of quantum gas meta-materials and show how the droplet can be used to construct a whole host of new structures which exhibit novel quantum effects, akin to meta-materials in solid-state systems. In addition to the work on quantum droplets, we will discuss recent cold atom experiments involving images of quantum clusters. These images reveal an underlying geometric structure in the wavefunction. We discuss our algorithm to extract the "optimal configuration" from this geometric structure, and show that it can be used to identify changes in the groundstate of the cluster.

Committee: Yuan-Ming Lu (Advisor); Tin-Lun Ho (Advisor); Ilya Gruzberg (Committee Member); Christopher Hirata (Committee Member); Jay Gupta (Committee Member) Subjects: Condensed Matter Physics; Quantum Physics; Theoretical Physics

Master of Science, The Ohio State University, 2022, Statistics

This paper provides a brief overview of some of the existing literature concerning annihilating random walks and provides a toy example for the reader. Two novel annihilating random walk models are additionally considered. The first examines the case where a + b → ∅. The second examines a case where there is both annihilating and coalescence between a and b particles, where a + a → a, and a + b → ∅. For both problems, computational results from simulations are provided, with keen interest on the decay of a particles. Possibilities for future research are also examined.

Committee: David Sivakoff (Advisor); Radu Herbei (Committee Member); Mario Peruggia (Committee Member) Subjects: Statistics

Bachelor of Sciences, Ohio University, 2022, Physics and Astronomy

The study of nuclear reactions is critical to understanding nuclear structure. For all nuclear reactions, the cross section is the probability of a particular nuclear reaction occurring. Cross sections can be simulated with two nuclear coding and analysis software packages known as Empire and TALYS, both based on the Hauser-Feshbach formalism. Empire can simulate multiple types of nuclear reactions given any number of parameters. It can simulate fission, fusion, and scattering, with both subatomic and heavier nuclei as incident particles. TALYS is a similar nuclear reaction simulation software, but is less flexible than Empire, as it can only utilize incident subatomic particles. Due to the similarity between the two software packages, generating graphs that match between them and are consistent with literature provide confidence in the reliability of both Empire and TALYS. In this study, Empire and TALYS were first compared using reactions involving the target nuclei 54Fe, 93Nb, and 209Bi. Next, existing data from Edwards Accelerator Laboratory from an experiment involving a 12C beam incident on a 27Al target has been collected and will be analyzed soon. Cross sections for various reactions of 12C + 27Al were simulated with Empire, and results are discussed

Committee: Adam Fritsch (Advisor); Zach Meisel (Advisor); David Tees (Advisor) Subjects: Nuclear Physics; Physics

Doctor of Philosophy, The Ohio State University, 2022, Chemical Engineering

In molecular dynamics (MD) simulations, coarse grained force fields significantly reduce the computational burden when predicting the structural properties of materials, but negatively impact the resulting transport property predictions, typically accelerating the dynamic evolution of the system. Using the methods of equilibrium and non-equilibrium MD simulations, the nanoscale structure of neat polymer grafted-nanoparticle (PGN) assemblies deposited on a smooth surface, and the transport properties of simple linear ethers are explored. Specifically, generic coarse grained bead-spring models are used to reach the time and length scales associated with entanglements, and to isolate the effect of architecture on the nanoscale structure and chain conformations of entangled and hexagonally packed PGN monolayers, which consist solely of nanoparticles (NPs) protected by grafted polymer chains. At increased graft densities brushes are dryer and more aligned, with decreased interpenetration between chains on neighboring canopies. This leads to fewer interparticle entanglements per chain, which are increasingly localized to interstitial regions. Chains also have increased alignment normal to the NP surface at high graft density, and increased intraparticle entanglement density near the surface. The inverse relationship between graft density and the degree of interparticle entanglement of the brush suggests that higher graft density monolayers will have reduced toughness and robustness under strain. Understanding these relationships, and generally connecting experimentally tunable parameters to molecular-scale structure and overall material properties, will provide insight into optimal design of future materials. In the second part of the thesis, finer transferable atomistic and united atom force fields are used to better capture trends in diffusivity and apparent viscosity across a range of temperatures and shear rates for a series of linear ethers. Specifically, tren (open full item for complete abstract)

Committee: Isamu Kusaka (Advisor); Kurt Koelling (Committee Member); Lisa Hall (Advisor) Subjects: Chemical Engineering

Doctor of Philosophy, The Ohio State University, 2020, Electrical and Computer Engineering

This dissertation proposes a systematic methodology for monitoring the Evaporative Emissions Control (EVAP) System after an key-off event before the next key-on. To achieve the monitor, studies of physical processes that occur in the system and collection of extensive experimental data are carried out. The proposed EVAP system monitor leverages information from the physics-based evaporation model and the strengths of data-driven machine learning techniques to detect small leaks and to predict gasoline vapor mass adsorption in the canister after engine-off. Contributions of this dissertation include first constructing a physics-based gasoline evaporation model in which equilibrium vapor pressure is estimated by gasoline composition and physical properties of the constituents. The model is validated with experimental data. The second contribution is the design and collection of experiments covering a broad range of system operations. Detailed preparation procedures are created for a small-scale tank in an environmental chamber, a production tank on a test bench, and a full EVAP system on a test vehicle, to analyze gasoline evaporation and adsorption activities. Lastly, an EVAP system monitor methodology using physics-based knowledge as well as data-based machine learning methods is designed developed and implemented. This is the first such monitoring methodology applied to an automotive evaporative emissions control system. The performance of the novel EVAP system monitor is demonstrated on experimental data collected from a test vehicle, showing substantially higher diagnostic and predictive accuracy than existing methods.

Committee: Giorgio Rizzoni (Advisor); Abhishek Gupta (Committee Member); Yingbin Liang (Committee Member); James Daley (Committee Member); Douglas Alsdorf (Other) Subjects: Automotive Engineering; Electrical Engineering; Mechanical Engineering

Master of Science, Miami University, 2019, Physics

Brownian ratchets are interesting nanodevices capable of performing useful work by extracting energy from surrounding fluctuations, such that under certain conditions an increase in noise level can result in increased efficiency. Cold atoms confined in an optical lattice may serve as ideal candidates for investigating the basic physics behind Brownian ratchet efficiency dependence on environmental noise. In this thesis we implement detailed semi-classical Monte Carlo simulations to model the asymmetric diffusive motion of an Fg=1/2 ↔ Fe=3/2 atom in a 1D optical lattice in which one of the beams is phase-modulated in order to create a ratchet. We closely follow the treatment already shown by Martin Brown in his doctoral thesis [M. Brown, PhD thesis, University College London (2008)] and the referenced results therein. The results of simulations for ratchets using different types of driving modulations, such as biharmonic and multi-frequency, are presented as well as the case of a gating ratchet. All codes for our simulations are included.

Committee: Samir Bali (Advisor); Imran Mirza (Committee Member); Edward Samson (Committee Member) Subjects: Physics

Doctor of Philosophy (Ph.D.), University of Dayton, 2018, Mechanical Engineering

This research presents engineering models that simulate steady-state and transient operations of air-cooled condensing units and an automatic commercial ice making machines ACIM, respectively. The models use easily-obtainable inputs and strategies that promote quick computations. Packaged, air-cooled condensing units include a compressor, condensing coil, tubing, and fans, fastened to a base or installed within an enclosure. A steady-state standard condensing unit system simulation model is assembled from conventional, physics-based component equations. Specifically, a four-section, lumped-parameter approach is used to represent the condenser, while well-established equations model compressor mass flow and power. To increase capacity and efficiency, enhanced condensing units include an economizer loop, configured in either upstream or downstream extraction schemes. The economizer loop uses an injection valve, brazed-plate heat exchanger (BPHE) and scroll compressor adapted for vapor injection. An artificial neural network is used to simulate the performance of the BPHE, as physics-based equations provided insufficient accuracy. The capacity and power results from the condensing unit model are generally within 5% when compared to the experimental data. A transient ice machine model calculates time-varying changes in the system properties and aggregates performance results as a function of machine capacity and environmental conditions. Rapid "what if" analyses can be readily completed, enabling engineers to quickly evaluate the impact of a variety of system design options, including the size of the air-cooled heat exchanger, finned surfaces, air flow rate, ambient air and inlet water temperatures, compressor capacity and/or efficiency for freeze and harvest modes, refrigerants, suction/liquid line heat exchanger and thermal expansion valve properties. Simulation results from the ACIM model were compared with the experimental data of a fully instrumented, standar (open full item for complete abstract)

Committee: David Myszka (Advisor); Kevin Hallinan (Committee Member); Andrew Chiasson (Committee Member); Rajan Rajendran (Committee Member) Subjects: Computer Engineering; Condensation; Conservation; Design; Endocrinology; Energy; Engineering; Environmental Economics; Environmental Education; Environmental Engineering; Environmental Science; Mechanical Engineering

Master of Science (MS), Ohio University, 2018, Physics and Astronomy (Arts and Sciences)

A suite of simulation tools was designed and developed to simulate two particle correlations in heavy ion collisions. This included additions to the HIJING Monte Carlo simulation and the creation of a new fast Monte Carlo simulation program, QMC. These Monte Carlos were then used to demonstrate the effect of an isolation cut on the the mean seed mean partner (MSMP) background normalization method. When used with the HIJING simulation, the MSMP method with centrality bias correction, ξ, showed reasonable agreement with previously performed PHENIX data runs. The addition of an isolation cut in HIJING also showed qualitatively similar performance as in the data, except for some discrepancy in low p_T bins. More specific effects, mostly related to the isolation cut, on the MSMP were then explored using the QMC. The QMC confirmed the need for a jet number correlation correction which was dependent on the correlation between jet triggers and partners. The QMC also discovered the need in principle for a ”Kappa” correction when an isolation cut is performed. The effects explored in the QMC could be relevant for the HIJING study. The QMC also showed that the newly found κ_iso correction factorizes with the centrality bias correction and the jet number correlation correction.

Committee: Justin Frantz (Advisor) Subjects: Particle Physics; Physics

Master of Sciences, Case Western Reserve University, 2018, Physics

Microscopic properties of materials are nearly impossible to probe directly by experimental means in environments where sample integrity is required. The problem is prevalent in a medical setting, where not only the integrity of the sample, but the health of the patient could be in jeopardy. With continually increasing computing power, computational approaches can be utilized and applied in clinical settings to both improve tests and minimize the need for invasive techniques to predict results. This thesis will explore the current landscape and problems associated with ophthalmology and refractive surgery and how these problems could explain the decrease in the number of annual refractive surgeries performed. A computational solution is compared to other in vivo methods and new surgical procedures which are all designed with the goal of minimizing postoperative complications. Recommendations for using the computational tool to both improve outcomes and attract new patients for refractive surgery are discussed.

Committee: Edward Caner MS (Advisor); Rober Brown PhD (Committee Member); Michael Henczewski PhD (Committee Member) Subjects: Physics

Doctor of Philosophy, Case Western Reserve University, 2018, Physics

The use of magnesium diboride (MgB2) superconducting wires inside a conduction cooled MRI main magnet could reduce the amount of liquid helium (LHe) from 2000 to only a few liters. The quench protection of MgB2 superconducting magnets remains a primary challenge because the higher enthalpy margin and slower normal zone propagation velocity (NZPV) of MgB2 wire compared to conventional niobium titanium (NbTi) wire leads to a higher temperature rise, which could damage the magnet, necessitating the use of an active protection system. Both 0.5 T and 1.5 T whole-body conduction cooled MRI main magnet designs with MgB2 wire have been presented here with dimensions comparable to current scanners. The quench propagation throughout the magnet has been numerically modelled using custom code in MATLAB, and the procedure consists of the interaction between thermal, magnetic, and circuit models. The governing heat equations were solved using the implicit Douglas-Gunn and Peaceman-Rachford methods, and the governing circuit equations were solved using Heun's method. From these simulations, it was found that the temperature rise inside a quenched MRI coil could be reduced at the time of quench detection by increasing the thermal and/or electrical conductivity of the wire composite. A quench protection system using Coupling Loss Induced Quench (CLIQ) has been investigated for the two magnet designs where an external charged capacitor introduces an oscillating current into the coils, which generates heat inside the coils due to inter-filament coupling currents. The coil's increased resistance reduces the current, leading to a lower hot-spot temperature. Various parameters were varied including the wire's twist, number of CLIQ units, and the voltage and capacitance of each unit to determine their effect on the magnet's protection. Finally, these quench simulations were performed on a single MgB2 test coil to determine the quench propagation inside the coil and the effect of a dump re (open full item for complete abstract)

Committee: Michael Martens (Committee Chair); Robert Brown (Committee Member); Harsh Mathur (Committee Member); Soumyajit Mandal (Committee Member) Subjects: Electromagnetics; Physics

Doctor of Philosophy, The Ohio State University, 1973, Graduate School

Committee: Not Provided (Other) Subjects: Education

Doctor of Philosophy, The Ohio State University, 2016, Physics

Here I present an experimental, theoretical, and computational exploration of an extremely efficient scheme for laser-based acceleration of electrons. A series of experiments were performed at the Air Force Research Laboratory in Dayton, OH, to show that a high-repetition-rate short-pulse laser (3 mJ, 40 fs, 1 kHz) normally incident on a continuous water stream can accelerate electrons in the back-reflection spray with >1% laser-to-electron efficiency for electrons >120 keV, and with >MeV electron energies present in large number. Characterization of the accelerated electrons was followed by explorations of appropriate focal conditions, pre-plasma conditions, and laser-intensity parameters. These experiments show clear signatures of plasma instabilities, with substantial 3ω/2 and ω/2 optical harmonics detected concurrently with efficient electron acceleration. Particle-in-cell (PIC) simulations of high-intensity laser interactions are able to reproduce the electron energies and acceleration efficiencies, as well as plasma instabilities. Analysis of the simulations suggest that electrons are accelerated by a standing wave established between incident and reflected light, coupled with direct laser acceleration by reflected light. Using hydrodynamic simulations of the laser pre-pulse interaction as initial conditions for PIC simulations of the main-pulse interaction clarifies mechanisms by which experimental manipulation of pre-pulse has effectively determined electron-acceleration efficiency in the laboratory.

Committee: Richard R. Freeman (Advisor); Linn D. Van Woerkom (Committee Member); Junko Shigemitsu (Committee Member); Michael Lisa (Committee Member) Subjects: Physics

Doctor of Philosophy, The Ohio State University, 2015, Electrical and Computer Engineering

This work investigates various numerical methods for modeling and analyzing microwave components and electronic devices with multi-scale structures and multi-physics effects. In the first part of the work, a universal matrice approach is developed that can handle continuous changing material properties across the element and curved boundary. This method is implemented in an Interior Penalty based domain decomposition solver. Several interesting numerical examples including the modeling of the Luneburg lens and conformal perfectly matched layer validate this method. In the second part, a full-wave homogenization process of extracting the equivalent permeability tensor of ferromagnetic nanowire array is presented. By solving for the small signal model of the Landau-Lifshits equation, the macroscopic material property can be obtained for the heterogeneous structure. After that, the utilization of ferromagnetic nanowire array into microwave components and devices is studied, showing interesting properties such as double-band working frequencies and self-bias capability. Coming to the third part of this dissertation, time domain method for transient linear/non-linear effects in high-frequency circuit systems is explored. To be specific, a discontinuous Galerkin time-domain method integrated with SPICE circuit solver and IBIS models, respectively, is developed. The key technique is on the interface the coupling of EM solver and circuit solver. This work provides a self-consistent integration so to physically model the whole system. Since the coupling process is local for DG method, only modest resources are needed. Overall, this dissertation evaluates and develops several numerical methods with the determination to provide a platform for multi-scale and multi-physics simulations for EM analysis of modern radio frequency systems with linear/nonlinear and passive/active factors.

Committee: Jin-Fa Lee (Advisor); Fernando Teixeira (Committee Member); Kubilay Sertel (Committee Member) Subjects: Electrical Engineering; Electromagnetics

MS, University of Cincinnati, 2003, Engineering : Electrical Engineering

Device modeling using a two dimensional, drift-diffusion approach utilizing a commercial numerical device simulator has been used to investigate the operation and performance of InP/GaAsSb heterojunction bipolar transistors (HBTs). GaAsSb lattice matched to InP has an energy bandgap (0.72 eV) that is similar to that of InGaAs (0.75eV) so that Sb-based HBTs have been proposed as a replacement for InGaAs-based HBTs. In particular, the conduction band lineup is more favorable at the base-collector,which makes the GaAsSb-based HBTs especially attractive for double heterojunction bipolar transistors (DHBTs) where higher breakdown voltages are desired. In this work,the results of device modeling will be compared initially with recent experimental reports to validate the modeling approach. Then the design and operation of the devices will be examined to investigate the factors controlling device performance in order to facilitate improvements in device design. The degradation of device performance at high currents due to the formation of a parasitic barrier in the collector region and the base push out effects is examined. Finally, a device structure with improved high frequency performance is described.

Committee: Dr. Kenneth P. Roenker (Advisor) Subjects:

Master of Science, The Ohio State University, 2012, Mechanical Engineering

This thesis explores the efficiency and performance of residential HVAC systems applied to new high performance buildings which meet the standards of the Passivhaus movement. Chapter 1 recounts the need for energy efficiency as well as the requirements for a Passivhaus. Furthermore, it reviews available building simulation techniques as well as state of the art desiccant dehumidification systems. Chapter 2 details the dynamic simulation in the climate of Columbus, Ohio of The Ohio State University's entry into the 2011 Solar Decathlon competition. This portion of the study explores the use of a conventional vapor compression conditioning system as well as the effects of occupant behavior on the parameters affecting comfort within the structure. It adds to the current literature on the subject by presenting a simulation in a mixed climate where cooling and dehumidification are traditionally required. Furthermore it adopts a simulation tool which acts on time scales less than one hour. It is concluded that the house, while energy efficient, has difficultly controlling moisture levels. In the summer season it is too humid and in the winter it is too dry. Chapter 3 seeks to address these issues through the use and modeling of a new desiccant assisted heat pump designed at Ohio State. Chapter 3 concludes that the new system called HAWC (Hybrid Air/Water Conditioner) is capable of completely eliminating high humidity events in the summer time while still saving energy as compared to a traditional HVAC system. Chapter 4 summarizes the document and lists future work.  

Committee: Mark Walter Dr. (Committee Chair); Gary Kinzel Dr. (Committee Member) Subjects: Mechanical Engineering