A Computing Model for Design of Flexible Buoyancy System for Autonomous Underwater Vehicles and Gliders

Modern design approaches are conceived and utilised in an integrated loop covering system statics, dynamics, optimisation, and others. In this regard this paper presents a computing based integrated design approach for a flexible buoyancy system (FBS) aimed towards the applications in autonomous underwater vehicles and gliders. The primary design alternatives for the FBS are: piston and pump driven and both are investigated. The primary design of autonomous underwater vehicles and gliders is computed from first principle of mechanics and defined in the computer aided design model and it is implemented in the Matlab*TM. Lastly, to show the application of the present approach, a design example is presented for a water depth of 6000 m

A Robust Algorithm to Detect Multiple Centrifugal Pump Faults with Corrupted Vibration and Current Signatures Using Continuous Wavelet Transform

LectureCentrifugal pumps are susceptible to seizures owing to reasons such as, fluid flow abnormalities and/or mechanical component failures. Consequently, it is crucial to recognize these faults and estimate their severity. The present work shows the development of a robust algorithm based on support vector machines (SVM) to classify multiple CP faults, such as suction and discharge blockages (with varying severities), impeller defects, pitted cover plate faults and dry runs using continuous wavelet transform (CWT) analysis. For the sake of classification, the CP vibration data and motor line-current data are generated for each of these faults experimentally. Furthermore, in an industrial setting, CP signatures are susceptible to noise corruption due to other operating equipment in the premises. Hence, to assess the versatility of the developed methodology, the generated experimental data is further corrupted with 5%, 10% and 25% additive white Gaussian noise and used to test the algorithm

Models to study atherosclerosis: a mechanistic insight

The recent failure of candidate drugs like cholesterol ester transfer protein (CETP) and acyl-CoA:cholesterol acyltransferase (ACAT) inhibitors calls for a revised approach for screening anti-atherosclerotic drugs and development of new models of atherosclerosis. For this it is important to understand the mechanism of the disease in a particular model. Models simultaneously showing hyperlipidemia, inflammation and associated complications of diabetes and hypertension will serve the purpose better as they mimic the actual clinical condition. Besides this, analyzing candidate molecules in vivo, in vitro and at various levels of atherosclerosis progression is important. Models based on various cells and process involved in atherosclerosis should be used for screening candidate molecules. The challenge lies in bridging the gap between genetically friendly small animal and human-like bigger animal models. Sequencing of the mouse and human genome, development of a single nucleotide polymorphism (SNP) database and in silico quantitative trait loci (QTL) linkage analysis may enhance the understanding of atherosclerosis and help develop new therapeutic targets

Study on flame retardant properties of poly(lactic acid) fibre fabrics

Polylactic acid  and its blended yarns with various fibres have been converted in to woven fabrics. These fabric samples have been scoured and then tested for mechanical and flame retardant properties. The results indicate that the high alkaline scouring severely damages polylactic acid fibre. Therefore, mild alkaline scouring is done for further studies. The scoured fabric samples are tested for various flame retardant properties and compared with polyester blended fabrics. Results indicate that polylactic acid fibre is not suitable for upholstery, apparel and work wear in terms of flame retardant properties

A Robust Algorithm to Detect Multiple Centrifugal Pump Faults with Corrupted Vibration and Current Signatures Using Continuous Wavelet Transform

LectureCentrifugal pumps are susceptible to seizures owing to reasons such as, fluid flow abnormalities and/or mechanical component failures. Consequently, it is crucial to recognize these faults and estimate their severity. The present work shows the development of a robust algorithm based on support vector machines (SVM) to classify multiple CP faults, such as suction and discharge blockages (with varying severities), impeller defects, pitted cover plate faults and dry runs using continuous wavelet transform (CWT) analysis. For the sake of classification, the CP vibration data and motor line-current data are generated for each of these faults experimentally. Furthermore, in an industrial setting, CP signatures are susceptible to noise corruption due to other operating equipment in the premises. Hence, to assess the versatility of the developed methodology, the generated experimental data is further corrupted with 5%, 10% and 25% additive white Gaussian noise and used to test the algorithm

A comparative study of spin coated and floating film transfer method coated poly (3-hexylthiophene)/poly (3-hexylthiophene)-nanofibers based field effect transistors

A comparative study on electrical performance, optical properties, and surface morphology of poly(3-hexylthiophene) (P3HT) and P3HT-nanofibers based “normally on” type p-channel field effect transistors (FETs), fabricated by two different coating techniques has been reported here. Nanofibers are prepared in the laboratory with the approach of self-assembly of P3HT molecules into nanofibers in an appropriate solvent. P3HT (0.3 wt. %) and P3HT-nanofibers (∼0.25 wt. %) are used as semiconductor transport materials for deposition over FETs channel through spin coating as well as through our recently developed floating film transfer method (FTM). FETs fabricated using FTM show superior performance compared to spin coated devices; however, the mobility of FTM films based FETs is comparable to the mobility of spin coated one. The devices based on P3HT-nanofibers (using both the techniques) show much better performance in comparison to P3HT FETs. The best performance among all the fabricated organic field effect transistors are observed for FTM coated P3HT-nanofibers FETs. This improved performance of nanofiber-FETs is due to ordering of fibers and also due to the fact that fibers offer excellent charge transport facility because of point to point transmission. The optical properties and structural morphologies (P3HT and P3HT-nanofibers) are studied using UV-visible absorption spectrophotometer and atomic force microscopy , respectively. Coating techniques and effect of fiber formation for organic conductors give information for fabrication of organic devices with improved performance

Enhancement of flux pinning and high critical current density in graphite doped MgB2 superconductor

We report the synthesis and characterization of graphite (C) doped MgB2-xCx (x = 0.0, 0.1, 0.2 and 0.3) samples. The crystal structure and microstructural characterization have been investigated by x-ray diffractometer and transmission electron microscopic (TEM) analysis. The superconducting properties especially Jc and Hc2 have been measured by employing physical property measurement system. We found that the graphite doping affects the lattice parameters as well as the microstructure of MgB2 superconductor. In case of optimally doped (x=0.1) sample, the critical current density at 5K corresponds to 1.1 x 10^6 and 5.3 x 10^4 A/cm^2 for 3T and 5T fields respectively. The upper critical field has been enhanced nearly two times after doping. The flux pinning behavior has been investigated by flux pinning force density curve and it reveals that the flux pinning behaviour has improved significantly by doping. TEM micrographs show the graphite nanoparticles of size ~5-10 nm which are invariably present in MgB2 grains. These nanoparticles act as flux pinning centre and are responsible for enhancement of superconducting properties of MgB2.Comment: Accepted in "Journal of Applied Physics

High critical current density and improved flux pinning in bulk MgB2 synthesized by Ag addition

In the present investigation, we report a systematic study of Ag admixing in MgB2 prepared by solid-state reaction at ambient pressure. All the samples in the present investigation have been subjected to structural/ microstructural characterization employing x-rays diffraction (XRD) and transmission electron microscopic (TEM) techniques. The magnetization measurements were performed by physical property measurement system (PPMS). The TEM investigations reveal the formation of MgAg nanoparticles in Ag admixed samples. These nanoparticles may enhance critical current density due to their size (~5-20 nm) compatible with coherence length of MgB2 (~5-6 nm). In order to study the flux pinning effect of Ag admixing in MgB2, the evaluation of intragrain critical current density (Jc) has been carried out through magnetic measurements on the fine powdered version of the as synthesized samples. The optimum result on intragrain Jc is obtained for 10 at.% Ag admixed sample at 5K. This corresponds to 9.23x10^7 A/cm^2 in self-field,5.82x10^7 A/cm^2 at 1T,4.24 x10^6 A/cm^2 at 3.6T and 1.52x10^5 A/cm^2 at 5T. However, intragrain Jc values for MgB2 sample without Ag admixing are 2.59x10^6 A/cm^2,1.09x10^6A/cm^2,4.53x10^4 A/cm^2 and 2.91x10^3A/cm^2 at 5 K in self field, 1T, 3.6T and 5T respectively.. The high value of intragrain Jc for Ag admixed MgB2 superconductor has been attributed to the inclusion of MgAg nanoparticles into the crystal matrix of MgB2, which are capable of providing effective flux pinning centres. A feasible correlation between microstructural features and superconducting properties has been put forward.Comment: 5pages,6figure

Effect of La Doping on Microstructure and Critical Current Density of MgB2

In the present study, La-doped MgB_2 superconductors with different doping level (Mg1-xLaxB2; x=0.00, 0.01, 0.03 & 0.05) have been synthesized by solid-state reaction route at ambient pressure. Effect of La doping have been investigated in relation to microstructural characteristics and superconducting properties, particularly intragrain critical current density (Jc). The microstructural characteristics of the as synthesized Mg(La)B2 compounds were studied employing transmission electron microscopic (TEM) technique. The TEM investigations reveal inclusion of LaB6 nanoparticles within the MgB2 grains which provide effective flux pinning centres. The evaluation of intragrain Jc through magnetic measurements on the fine powdered version of the as synthesized samples reveal that Jc of the samples change significantly with the doping level. The optimum result on Jc is obtained for Mg0.97La0.03B2 at 5K, the Jc reaches ~1.4x107A/cm2 in self field, ~2.1 x 106A/cm2 at 1T, ~2.5 x 105A/cm2 at 2.5T and ~1.8 x 104 A/cm2 at 4.5T. The highest value of intragrain Jc in Mg0.97La0.03B2 superconductor has been attributed to the inclusion of LaB6 nanoparticles which are capable of providing effective flux pinning centres