In this thesis, we propose and demonstrate a simple and precise method for measuring mm scaled cell gap by using terahertz time domain spectroscopy (THz-TDS) system. This method allows us to measure the cell gap from 15mm to 1.5mm. In addition, the accuracy of measured thickness for the proposed method is also discussed and analyzed. Meanwhile, a nematic liquid crystal BL006 with birefringence as high as 0.27 in THz frequency range and its optical properties of cholesteric liquid crystal (CLC) as mixing chiral materials are investigated and reported. The ordinary refractive index and average effective refractive index at 20oC are from 1.52 to 1.56 and from 1.61 to 1.64, respectively, in THz frequency ranging from 0.2 THz to 1.4THz. In addition, we also demonstrate that cell filled with CLC is with polarization independent property for THz radiation. Through the 5mm cell filled CLC with diluted concentration of the dopant chiral material for decreasing the critical voltage, an electric controlled polarization independent phase shifter with the modulation depth exceeding 2pi is demonstrated. Furthermore, we also investigate the driving field dependence of phase retardation and discuss the reliability.

The Finite-Difference Time Domain (FDTD) method is a very useful numerical simulation technique for solving problems related to electromagnetism. However, as the traditional FDTD method is based on an explicit finite-difference algorithm, the Courant-Friedrich-Levy(CFL) stability condition must be satisfied when this method is used. Therefore, a maximum time-step size is limited by minimum cell size in a computational domain, which means that if an object of analysis has fine scale dimensions, a small time-step size creates a significant increase in calculation time. Alternating-Direction Implicit (ADI) method is based on an implicit finite-difference algorithm. Since this method is unconditionally stable, it can improve calculation time by choosing time-step arbitrarily. The ADI-FDTD is based on an Alternating direction implicit technique and the traditional FDTD algorithm. The new method can circumvent the stability constraint. In this thesis, we incorporate Lumped Element and Equivalent Current Source method into the ADI-FDTD. By using them to simulate active or passive device, the application of method will be more widely.

The Finite-Difference Time-Domain Method (FDTD) is a very powerful numerical method for the full wave analysis electromagnetic phenomena. Due to its flexibility, it can be used to solve numerous electromagnetic scattering problems on microwave circuits, dielectrics, and electromagnetic absorption in biological tissue at microwave frequencies. However, it needs so much computation time to simulate microwave integral circuits by applying the FDTD method. If the structure we simulated is complicated and we want to obtain accurate frequency domain scattering parameters, the simulation time will be so much longer that the efficiency of simulation will be bad as well. Therefore, in the thesis, we introduce an artificial neural networks (ANN) method called ¡§Finite Impulse Response Neural Networks (FIRNN)¡¨ can speed up the FDTD simulation time. In order to boost the efficiency of the FDTD simulation time by stopping the simulation after a sufficient number of time steps and using FIRNN as a predictor to predict time series signal.

In recent years, the wireless communication operators use more and more systems based on the transmission and reception of EM waves. As a result, more and more base stations are being installed on the rooftop of existing buildings in densely populated areas. The prevailing of wireless communications has prompted the public¡¦s concern of the health issue. To date, the most prominent and scientifically verifiable biological effect of EM waves is the heating effect. In order to maintain the users¡¦ health from the over-heating due to excessive use, analysis of the temperature distribution inside the human body is also very critical as well as the SAR guidelines. The purpose of this thesis is to investigate the SAR values and temperature distribution inside the human head, under the EM exposure of mobile communication base station and handset based on the use of finite-difference time-domain (FDTD) method. In general, we assumed that the far-field exposure of base station are uniform plane-wave exposures. The total-field / scattered-field (TF/SF) formulation implements a compact uniform plane-wave source permitting FDTD simulations to accurately predict the SAR distribution in the human head due to uniform plane-wave exposures. Furthermore, this thesis investigates the effects of the rectangular frames of the metallic spectacles at 900MHz and 1.8 GHz for the uniform plane wave.

With the enormously developing of the wireless communication technology, the electromagnetic environment exposing to the electrical devices is becoming more and more complex. Besides, the trends of designing high-speed digital computer systems are toward fast edge rates, high clock frequencies, and low voltage levels. The electromagnetic susceptibility (EMS) or immunity of the high-speed circuit has become an important issue today apparently. In this thesis, we will firstly establish the measurement environment and calibration technology for numerical validation. Then we employ the three-dimension finite-differential time-domain (3D-FDTD) numerical method compared to the finite element method (FEM) to simulate the EMS behavior of the power delivery network (PDN) and traces of the printed circuit boards (PCB). In addition to several types of layout of the traces studied in this thesis, we also explain the mechanism and phenomenon of the EMS of the power/ground planes of the PCB. Besides the EMS behavior research of the traditional solutions to suppress the power noise, we propose an electromagnetic bandgap structure (EBG) which has the broadband suppression of the power noise and is validated to be effective to improve the EMS problems. Finally, we also propose a novel concept to increase the signal integrity (SI) by shielding design.

Photonic crystal fibers (PCFs) are divided into two different kinds of fibers. The first one, index-guiding PCF, guides light by total internal reflection between a solid core and a cladding region with multiple air-holes. On the other hand, the second one uses a perfectly periodic structure exhibiting a photonic band-gap (PBG) effect at the operating wavelength to guide light in a low index core-region. A compact 2D-FDTD method based on finite-difference time-domain method is formulated and is effectively applied to analysis PCFs and PBGFs. We study the propagation features of fundamental mode and the fundamental characteristics such as effective index, modal-field diameter and chromatic dispersion in index-guiding PCFs. By optimizing the air-hole diameters and the hole-to-hole spacing of index-guiding PCFs, both the dispersion and the dispersion slope can be controlled in a wide wavelength range. We also investigate the propagation features of fundamental mode and band-gap effect of PBGFs.

The Finite-Difference Time-Domain Method (FDTD) is a very powerful numerical method for the full wave analysis electromagnetic phenomena. Due to its flexibility, it can be used to solve numerous electromagnetic scattering problems on microwave circuits, dielectrics, and electromagnetic absorption in biological tissue at microwave frequencies. However, it needs so much computation time to simulate microwave integral circuits by applying the FDTD method. If the structure we simulated is complicated and we want to obtain accurate frequency domain scattering parameters, the simulation time will be so much longer that the efficiency of simulation will be bad as well. Therefore, in the thesis, we introduce an artificial neural networks (ANN) method called ¡§Infinite Impulse Response Neural Networks (IIRNN)¡¨ can speed up the FDTD simulation time. In order to boost the efficiency of the FDTD simulation time by stopping the simulation after a sufficient number of time steps and using FIRNN as a predictor to predict time series signal.

In this study, suspensions of metallic nanoparticles in base fluids, nanofluids, are investigated by using terahertz time domain spectroscopy (THz-TDS). Nanofluids are used as the working fluid in a variety of applications especially for the purpose of heat transfer enhancement. Polar fluids are being used as the base in nanofluids for their tendency to stop aggregation and sedimentation. Polar fluids highly absorb THz signal. In order to select the best possible host, various polar liquids have been investigated, and isopropanol (99.5%) is selected to be the best candidate for its low THz absorptivity when compared to ethanol (99.5%), ethylene glycol (99%), methanol (95%) and distilled water. Ag, Pd and Cu nanoparticles have been custom-made in isopropanol by laser ablation method, and the size distributions have been characterized by Zeta Potential Analyzer. The nanoparticle diameters are measured to be on average 10 nm, 12 nm and 75 nm for Ag, Cu and Pd, respectively. Nanofluids of 1X, 2X and 3X concentrations of Ag, Cu and Pd nanoparticles have been prepared by diluting with pure (99.5%) isopropanol. Measurements have been repeated after 7 days up to 12 days in order to check for aggregations and sedimentations. THz-TDS is a strong tool to analyze the refractive index and absorption coefficient, but no distinct difference was observed in the frequency domain analysis for the nanofluid samples. On the other hand, in the time domain data analysis, a shift on the time data with a change in transmission was observed. For Ag nanoparticles a positive time shift with a decrease in transmission with increasing concentration was observed. For Cu nanoparticles an interesting negative time shift and an increase in the intensity was observed with increasing concentration. The Pd nanoparticle solution scans showed almost no shift initially, but a negative time shift after a wait period on the order of days. A model of the transmission of the THz pulse through the nanofluid was developed based on transmission/reflection coefficients due to both dielectric and conducting layered media. The model well explains the positive time shift seen with Ag nanoparticle suspensions but fails to explain the shift seen with the Cu nanoparticle suspensions due to the long path length inside the nanofluid. Negative time-shifts can only be explained by decreasing the path length which suggests additional layering inside the nanofluid medium, or assuming that the chemical composition of the isopropanol host has changed with the addition of Cu and/or Pd nanoparticles. The positive time shifts observed with the Ag nanoparticle suspensions allowed for estimating the change in refractive index of the base fluid. From this change, using effective medium theory based on Maxwell-Garnett model, the concentrations of the nanoparticles were estimated. The results agree within an order of magnitude to commercially available nanofluids which are also non-aggregate.

No description available.

The finite-difference time domain(FDTD) method is formulated by discretizing Maxwell¡¦s equation over a finite volume and approximating the derivatives with centered difference approximation. The total-field/scattered-field formulation use for simulating the uniform plane wave and the added -source formulation use for simulating the plane wave,compare the result of the electric field within metallic enclosures through aperture excited by uniform plane wave with plane wave,The larger of the exciting plane of the plane wave the more approximate to the result of the uniform plane wave .It must be very large for the induced electrical field within enclosure with a slot which vertical to interference source polarization . Generally speaking, the aperture on the enclosures not the slot but small holes on the condition of don¡¦t know interference source polarization.