Advanced Materials Research Vols. 403-408

Abstract: In the conventional sensor using localized surface Plasmon resonance (LSPR), metallic particle has been only allocated on substrate in two dimensions. We attempt to allocate metal particles in three dimensions to improve sensitivity than a conventional LSPR sensor, and aim at two points of the establishment of a new LSPR sensor and the detection of the antigen of the low density. As study process, CNTswere synthesized on the Si substrate as support by the CVD method, and modifying gold nanoparticles on surface of CNTs by the PVD method. Evaluation of applicability to bio-sensor was carried out by using protein absorption. BSA of 100mg/l as a protein was applied to the absorption test. Absorption spectra of before and after were compared by the LSPR analysis. Especially, to improve the sensitivity of LSPR,CNTs was patterned by the lithography. After BSA adhesion, in patterned CNTs substrate,it was seen that wavelength shifted by about 7 nm. Therefore, we were able to confirm thatthe substrate which was allocated metal particles in three dimensions had the function as the sensor, and had a potential to improve sensitivity of LSPR.

Abstract: In this work a two dimensional finite element model is developed to simulate the fully exfoliated Polymer/Clay nanocomposite behavior and evaluate its’ elastic modulus. The influence of elastic moduls of matrix and clay on the elastic modulus of exfoliated Nylon 66 /clay nanocomposite is investigated with the aid of numerical simulations. Results show good agreement with experimental data from literature.

Abstract: Based on electromagnetic-wave penetration method, the electromagnetic wave attenuation abilities of six kinds of CNTs were studied in experiment at 12~18 GHz, whose diameter at 30 nm, 60 nm, 100 nm and length at 2 μm and 15 μm. Such results are concluded from the experiment. With the same diameter 30 nm, the absorption ability of CNTs with the length 15 μm is better than which with the length 2 μm; With the same diameter 60 nm, the absorption ability of CNTs with the length 2 μm is better than which with the length 15 μm; With the same diameter 100 nm, electromagnetic attenuation ability of CNTs with the length 15 μm is better than which with the length 2 μm. Electromagnetic attenuation ability order of CNTs with the same length is that Ф60 nm > Ф100 nm > Ф30 nm. On the absorption ability, the best is CNTs with Ф60 nm × 2 μm, and the worst is CNTs with Ф30 nm × 2 μm. At 12~18 GHz, the absorption orders of the six kinds of CNTs is that Ф60 nm × 2 μm > Ф 60 nm × 15 μm > Ф100 nm × 15 μm >Ф100 nm × 2 μm > Ф 30 nm × 15 μm > Ф 30 nm × 2 μm.

Abstract: The orthogonal test method has been used to study the effects of the concentration of SiC, the speed of mixing, the temperature and the surfactants on depositing rate, and obtained the optimized technological scheme and fine Ni-P-SiC composite coating. The results showed that using citric acid-acetic acid as complexing agents can obtain high speed of depositing and homogeneous coating with SiC well-distributed. Among the technological parameters, the effects of temperature on depositing rate is biggest, and the surfactants is next. Give consideration to depositing rate and stability of the liquid, the temperature should be controlled at 82±2°C, the concentration of SiC particles and surfactants should be controlled in 4g/L and 60mg/L.

Abstract: The χ parameters and the repulsive parameters of different polymers and β-HMX(octahydro-1,3,5,7-tetranitro-1,3,5,7-tetrazocine), the mesoscopic structures of β-HMX-based PBXs at different temperatures have been studied. The results shown that the compatibility among β-HMX and the polymer structure units (vinylidenedifluoride (VDF) and chlorotrifluoroethylene (CTFE), respectively) are increasing with temperature increasing. The temperature and Molar ratio of the polymers played the important role in wrapped process.

Abstract: For the purpose of developing a novel and effective nano-CeO₂ catalyst used in biomass gasification for tar removal, nanocrystalline CeO₂ particles were successfully prepared by the homogeneous precipitation method, and different approaches including TG, FT-IR, XRD and SEM were used to characterize the CeO₂ nano-particles and precursors in this study. The analysis results indicated that the synthesized precursor was hydrated cerium basic carbonates and its formula was identified as Ce₂O(CO₃)₂•nH₂O, and it can completely transform into nanocrystalline CeO₂ particles below 400 °C under the air atmosphere. The prepared CeO₂ nano-particles were found spherical in shape and well dispersed; they had high purity and a fine crystal phase of cubic syngony structure with a mean size of 13 nm.

Abstract: Nickel nanoparticles were prepared via Nd:YAG pulsed laser in methanol. Nanoparticles morphology have been studied by transmission electron microscope (TEM). X-ray diffraction was carried out to study the structure of laser generated nanoparticles. The optical properties of nanoparticles in liquid were investigated through UV-Vis spectroscopy. The magnetic property of Ni was studied with vibrating sample magnetometer (VSM). The information about the laser ablation conditions could be deduced from the plasma, created during the material removal due to the very fast expansion of metallic vapours.

Abstract: The measurements provided by inertial measurement unit (IMU) are erroneous due to certain noise parameters which are needed to be taken into account because the corrupted data is of little practical value in inertial navigation systems (INS). By integrating the IMU data in navigation algorithm, these errors are accumulated, leading to significant drift in the attitude, position and velocity outputs. Several techniques have been devised for the error modeling of this error by way of Neural Networks (NNs), PSD, ARMA, etc. In this paper, the deterministic and stochastic approach is followed to model the noise parameters of a low cost IMU. The error parameters thus determined by using the both techniques help in the development of an effective navigation algorithm. Deterministic errors are calculated by the help of Up-Down Test and the Rate Table test. While the stochastic errors, which are more random in nature, are recognized using Power Spectral Density (PSD) Analysis and Allan Variance techniques.

Abstract: In addition to the conventional obstacle avoidance capabilities, the Unmanned Ground Vehicles (UGVs) used in military environments should be capable of avoiding certain areas which could inflict damage to the UGVs or result in the failure of the mission. The threat area could be minefields or an area vulnerable to enemy fire or detection. In this paper we have proposed and implemented an algorithm for ‘Threat Area Avoidance (TAA)’. Our algorithm was incorporated in two of the obstacle avoidance methods, Vector Polar Histogram (VPH) and the Enhanced VPH. The performance of our algorithm was evaluated in terms of distance overhead, navigation time, computational time and UGV Orientation Angle Variation Index. Through simulations, we observed that the proposed algorithm avoids a potential threat area (even though it is free of any obstacles) and takes a safe path while navigating between the start and goal points, with minimum overhead in computation.

Abstract: In medical examination of skin texture, an expert is generally needed to examine the skin texture thoroughly. It is felt that the same can be achieved through image processing, wherein a skin expert or physical presence of the patient are not needed on the spot. In the distant skin examination, expertise is required in analyzing the skin texture as appeared on the image. The texture is evaluated on the basis of oiliness of the skin, which is measured by a specific instrument [5]. As per our knowledge, the instrument is not readily available. To overcome this problem, a framework (SA-OILINESS) is proposed in this paper. It is designed so as to provide a scale to measure oiliness of facial skin through an image of a standard resolution. The proposed approach is based on the principle that the intensity of light from an oily skin is comparatively higher than that from a dry skin. Images of test subjects are taken at the same time and using the approach of weighted mean of the intensity of light reflected from the marked forehead region a scale of oiliness is developed. The scale is used to measure the relative value of oiliness.