No description available.

The flow profiles of pressure-driven and electro-kinetic driven flows were compared for a microfluidic chip. It was found that the pressure-driven flow had a parabolic profile while the electro-kinetic flow had a plug shaped flow profile. The measured velocities were similar to those determined by the Poiseuille flow model and the Helmholtz-Smoltchowski equation. Flow uniformity is very important for control in microfluidic mixers. Parabolic flow profiles lead to inconsistent reactions while the more uniform plug shape flow allow for a more steady reaction across the channel. Previous work had been performed to measure the flow of a solution of fluorescent polystyrene beads in PDMS channels using a laser confocal microscope. This showed that particles easily stuck to the channel making it difficult to measure over time. In addition, bubble formation in the channel made measuring velocities difficult. Current work used a LabSmith Video Synchronized microscope with software to measure the flow rates at different areas of the channel. Solutions of fluorescent polystyrene beads were used to visually observe the flow within a channel under a microscope. Four different channels were used for the pressure-driven flows of varying dimensions and materials. The channel with the best measured profile was also measured under electro-kinetic flow. A LabSmith High Voltage Sequencer was used to apply a voltage across the channel for electro-kinetic measurements. This research confirmed the different flow profiles under pressure-driven and electro-kinetic driven flow. Future work can be done to determine how this effects mixing in the channels.

In this thesis, a new approach is developed, avoiding the correspondence problem caused by the difference in embodiment between imitator and demonstrator in imitation learning. In our work, the imitator is a fluidic system of dynamics totally different than the imitatee, which is a human performing hand gestures and human body postures. The fluidic system is composed of fluid particles, which are used for the discretization of the problem domain. In this work, we demonstrate the fluidics formation control so as to imitate by observation initially given human body poses and hand gestures. Our fluidic formation control is based on setting suitable parameters of Smoothed Particle Hydrodynamics (SPH), which is a particle based Lagrangian method, according to imitation learning. In the controller part, we developed three approaches: In the first one, we used Artificial Neural Networks (ANN) for training of the input-output pairs on the fluidic imitation system. We extracted shape based feature vectors for human hand gestures as inputs of the system and for output we took the fluid dynamics parameters. In the second approach, we employed the Principal Component Analysis (PCA) method for human hand gesture and human body pose classification and imitation. Lastly, we developed a region based controller which assigns the fluid parameters according to the human body poses and hand gestures. In this controller, our algorithm determines the best fitting ellipses on human body regions and human hand finger positions and maps ellipse parameters to the fluid parameters. The fluid parameters adjusted by the fluidics imitation controller are body force (f), density, stiffness coefficient and velocity of particles (V) so as to lead formations of fluidic swarms to human body poses and hand gestures.

Matrix Assisted Laser Desorption Ionization–Time of Flight (MALDI-TOF) mass spectroscopy is used in the characterization of synthetic polymers. MALDI allows for determination of: modal, most probable peak (M P), molecular number average (MN), molecular weight average (MW), polydispersity (PD), and polymer spread (PSP). We evaluate a new sample preparation method using Induction Based Fluidics (IBF) to kinetically launch and direct nanoliter volumes to a target without contact. IBF offers signal improvement via field enhanced crystallization. This is the first study to discuss filed enhanced crystallization in MALDI sample preparation. IBF can increase signal/noise (S/N) and signal intensity for polystyrene (PS), poly(methyl methacrylate) (PMMA), and poly(ethylene glycol) (PEG) across a mass range of 2,500 to 92,000 Da showing more accurate PSP. Increases in S/N range up to: 279% for PS, 140% for PMMA, and 660% for PEG. Signal intensities increased up to: 438% for PS, 115% for PMMA, and 166% for PEG. Cross-polarization microscopy indicates dramatic morphology differences between IBF and micropipette. Finally, we speculate as to why IBF nanoliter depositions afford higher S/N values in experiments conducted in different instrumental configurations even without optimization. Next we sought to investigate whether nanoliter volumes of concentrated polar liquids and organic monomers launched to targets using IBF can be verified through the real time charge measurements. We show that using a nanoliter IBF dispensing device and nanocoulomb meter, charge measurements made on nanoliter drops in real time are correlated with the droplets surface area following Gauss’s Law. We infer the "induction only" formation of the double layer showing the ability to determine nanoliter volumes, nearly instantaneously, in real time. Implications are presented from these IBF measurement observations on improving/monitoring MALDI quantitation and its quality control. Polymer-dye interactions were further investigated using PMMA composites made from a polar metalloporphyrin [5-(4',4',5',5'-tetramethyl[1',3',2']dioxaborolan-2'-yl)-10,20-diphenylporphyrinato]zinc(II) (Zn(II)Bpin-DPP) in select weight %s (wt%s). Fluorescence spectroscopy has revealed that the porphyrin was well dispersed within the composite. Differential Scanning Calorimetry (DSC) showed that porphyrin acted as an antiplasticizer raising the glass transition (Tg) from 105 °C to 123 °C. Dielectric Analysis (DEA) was performed in the frequency range of 0.3 Hz to 100 kHz between -150 to 270 ⁰C. Permittivity (ε’), loss factor (ε’’) and dielectric response of beta (β), alpha beta (αβ), and conductivity relaxations were studied. Previous DEA data was limited to 190 ⁰C. This study brings analysis to 270 ⁰C which is start point for the first part of PMMA degradation. Thus forwarding DEA can be used to evaluate PMMA degradation. The electric modulus formalism is used to reveal the β and conductivity relaxations. The apparent activation energies (Ea) for the molecular relaxations are presented. AC (ζAC) and DC (ζDC) conductivity are also evaluated. Tan delta (δ), dissipation factor, evaluated between 1 Hz to 100 kHz was shown to increase with porphyrin loading although locally affected by free volume restriction. Havriliak-Negami (H-N) equation was fit using the complex electric modulus (M*) modified form and was performed on the conductivity region 160 to 190 ⁰C and degradation region 190 to 270 °C. Relaxations above the Tg were proven to be conductivity relaxations using four proofs. This is the first study to investigate PMMA degradation DEA with the complex electric modulus, M*, revealing a unique occurrence of increasing central relaxation times (s-1) and reducing electric loss modulus (M") frequency maxima (Hz) after the degradation temperature of 220 ⁰C was reached supporting current literature of the first of a two part degradation process that proceeds via end chain scission.

No description available.

No description available.

Polymer coatings on periodic nanostructures have facilitated advanced applications in various fields. The performance of these structures is intimately linked to their nanoscale characteristics. Smart polymer coatings responsive to environmental stimuli such as temperature, pH level, and ionic strength have found important uses in these applications. Therefore, to optimize their performance and improve their design, precise characterization techniques are essential for understanding the nanoscale properties of polymer coating, especially in response to stimuli and interactions with the surrounding medium. Due to their layered compositions, applying non-destructive measurement methods by X-ray/neutron scattering is optimal. These approaches offer unique insights into the structure, dynamics, and kinetics of polymeric coatings and interfaces. The caveat is that scattering methods require non-trivial data modeling, particularly in the case of periodic structures, which result in strong correlations between scattered beams. The dynamical theory (DT) model offers an exact model for interpreting off-specular signals from periodically structured surfaces and has been validated on substrates measured by neutron scattering. In this dissertation, we improved the model using a computational optimization approach that simultaneously fits specular and off-specular scattering signals and efficiently retrieves the three-dimensional sample profile with high precision. In addition, we extended this to the case of X-ray scattering. We applied this approach to characterize polymer brushes for nanofluidic applications and protein binding to modulated lipid membranes. This approach opens new possibilities in developing soft matter nanostructured substrates with desired properties for various applications. / Doctor of Philosophy / Polymer coatings on nanopatterned surfaces have recently facilitated advanced applications in various fields, particularly biotechnology. For example, multichannel surfaces coated with polymer can serve as nanofluidic devices for precise control of fluid flow in drug screening and detection of specific biomolecules. Moreover, polymer-coated nanopatterned surfaces, which possess similar properties to the extracellular matrix, provide excellent substrates for biological studies. The performance of these systems is closely tied to their nanoscale features, such as the thickness and conformation of the polymer layers. Therefore, high-resolution non-invasive nanoscale characterization techniques are essential for investigating these coatings to optimize their performance and enhance their design. X-ray/neutron scattering offers a non-destructive measurement method with unique capabilities in the nanoscale characterization of polymer coatings. However, scattering methods require non-trivial data modeling, particularly in the case of layered coatings on patterned surfaces. To tackle this challenge, we improved a dynamical theory (DT) model that allows for precise modeling of neutron and X-ray scattering signals from such systems. Using a computational optimization approach, the model enables efficient retrieval of the three-dimensional sample profile with high accuracy. We applied this approach to characterize polymer brushes for nanofluidic applications and protein binding to modulated lipid membranes. This methodology opens up new avenues for developing customizable, nanostructured substrates made from soft materials that possess tailored properties for a wide range of uses.

This thesis describes a number of studies of microstructured optical resonators, designed with the aim of enhancing the performance of organic semiconductor lasers and exploring potential applications. The methodology involves the micro-engineering of the photonic environment in order to modify the pathways of the emitted light and control the feedback mechanism. The research focuses on designing new organic microstructures using established semi-analytical and numerical methods, developing fabrication techniques using electron-beam lithography, and optically characterising the resulting structures. Control of the feedback mechanism in conjugated polymer lasers is first investigated by studying Distributed Feedback or photonic crystal resonators based on a square feedback lattice. This study identified the diffraction to free space radiation as a major source of loss in current microstructured resonator designs. By cancelling the coupling to free space through the use of different feedback symmetries and diffraction orders, a threshold reduction by almost an order of magnitude is demonstrated. The introduction of mid-gap defect photonic states in an otherwise uniformly periodic structure was studied in Distributed Bragg Reflector (DBR) resonators. This enabled GaN diode pumped polymer lasers to be demonstrated, indicating that the transition from complex excitation sources to more compact systems is possible. Devices for potential applications in the field of optical communications are also explored by demonstrating a polymer DBR laser based on silicon. In this way, the potential for integrating conjugated polymers with silicon photonics is confirmed. Photonic crystal fibres, which have a periodic microstructure in the transverse direction, are explored as an alternative means for controlling the optical properties of organic lasers. Fluidic fibre organic lasers were demonstrated as efficient sources with good spectral purity. In these devices, mechanisms to tune the emission wavelength were explored and the origin of the frequency selection mechanism was investigated.

Il y a à l'heure actuelle un grand besoin en systèmes et composants agiles pour les dispositifs front-end RF. Dans cette thèse, deux approches innovantes sont développées pour la conception de tels dispositifs RF. Dans un premier temps, un mécanisme de reconfiguration micro-mécanique est développé. Cette approche vise à contrôler la hauteur d'un gap d'air inséré dans le substrat de composants microrubans afin d'en modifier les dimensions électriques. Les choix de conception et la fabrication d'un déphaseur à ligne micro-ruban ainsi que d'une antenne accordable en fréquence sont discutés. Une solution d'actionnement piézoélectrique basse tension (+/- 30 V) est retenue. La figure de mérite obtenue dans le cas du déphaseur atteint jusqu'à 313 °/dB ce qui dépasse l'état de l'art en matière de déphasage analogique. Dans le cas de l'antenne, le potentiel d'agilité en fréquence atteint 35 % autour d'une fréquence centrale de 55 GHz. Contrairement aux solutions classiques à base de semiconducteurs ou de RF-MEMS, ce mécanisme de reconfiguration n'impacte pas les performances de l'antenne dont l'efficacité de rayonnement est proche de 94 %. Dans un second temps, c'est un mécanisme micro-fluidique qui est étudié. L'agilité en fréquence d'antennes est créée par l'écoulement successif de liquides de permittivités différentes dans des micro-canaux intégrés au substrat. L'accord en fréquence atteint alors la très large ampleur de 51 % pour une fréquence centrale de 22 GHz. Cette étude s'accompagne de la recherche et caractérisation diélectrique de plusieurs fluides dans l'optique d'augmenter aussi bien la plage d'accord en fréquence que les performances de rayonnement des antennes / As wireless networks evolve, the frequency bands they exploit multiply. Frequency multiplexing, beamforming and tracking, networks interoperability, those mutations increase the need for agility and tunability in the RF-front end systems. In this thesis, two innovative approaches for the design of tunable RF components are studied. First, a micro-mechanical reconfiguration mechanism is developed. This approach means to control the height of an air gap within the substrate of microstrip components in order to control their electrical dimensions. Considerations for the design and fabrication of a phase-shifter and a frequency tunable patch antenna are made and a low voltage piezoelectric actuation (+/- 30 V) is chosen. The phase-shifter figure of merit reaches up to 312 °/dB which is beyond the state of the art in terms of analogic phase-shifting. Regarding the antenna, the frequency tuning potentially reaches up to 35 \% of a central frequency of 55 GHz. Unlike the classic solidstate or RF-MEMS based solutions, this reconfiguration mechanism does not impact the radiation performance of the antenna whose radiation efficiency is 94 \%. In a second approach, a micro-fluidic solution is studied. Frequency tuning capability is created in different antennas by the flow of successive liquids with different permittivities in integrated micro-channels. A large frequency tuning of 51 \% for a central frequency of 22 GHz is achieved. This study goes along with the search and characterization of several fluids with the objective of increasing both the frequency shift and the radiation performance of those antennas

My doctoral research has focused on the development of surface plasmon resonance (SPR) reflectance imaging technique to detect near-field transport properties such as concentration, temperature, and salinity in micro/nano fluidic phenomena in label-free, real-time, and full-field manner. A label-free visualization technique based on surface plasmon resonance (SPR) reflectance sensing is presented for real-time and full-field mapping of microscale concentration and temperature fields. The key idea is that the SPR reflectance sensitivity varies with the refractive index of the near-wall region of the test mixture fluid. The Fresnel equation, based on Kretschmann’s theory, correlates the SPR reflectance with the refractive index of the test medium, and then, the refractive index correlates with the mixture concentration or temperature. The basic operation principle is summarized and the laboratory-developed SPR imaging/analyzing system is described with the measurement sensitivity, uncertainties and detection limitations of the implemented SPR reflectance imaging. Total five proposed uses of SPR reflectance imaging technique are presented: (1) micromixing concentration field development of ethanol penetrating into water contained in a micro-channel, (2) full-field detection of the near-wall salinity profiles for convective/diffusion of saline droplet into water, (3) full-field and real-time surface plasmon resonance imaging thermometry, (4) correlation of near-field refractive index of nanofluids with surface plasmon resonance reflectance, and (5) unveiling hidden complex cavities formed during nanocrystalline self-assembly.