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Search Results: 1 - 10 of 554616 matches for " A. K. Vishnoia "
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An Experimental Study on Mechanical and Fracture Behavior of Phosphoric Iron  [PDF]
A. K. Vishnoia, B.K. Mishra, S. Prakash
Journal of Minerals and Materials Characterization and Engineering (JMMCE) , 2010, DOI: 10.4236/jmmce.2010.912079
Abstract: Phosphoric iron of two different phosphorus content, namely P1 (Fe-0.30P-0.226C), P2 (Fe-0.11P-.028C) were first prepared by ingot casting route. The ingot were soaked and forged at 1150℃. The microstructures of the phosphoric iron and its relevant mechanical properties such as hardness and tensile properties have been characterized. J-R curves of the material have been determined at room temperature. Fracture behaviour under tearing load has been studied through fracture toughness tests on phosphoric iron using Compact Tension (CT) specimens of Width (W) =50 mm and thickness (B) =12.5mm. J-R curves were obtained from specimens precracked to a/W = 0.5 .The single specimen unloading compliance method have been used for generating J-R curves.
Using MATLAB to Design and Analyse Composite Lami-nates  [PDF]
A. Ramsaroop, K. Kanny
Engineering (ENG) , 2010, DOI: 10.4236/eng.2010.211114
Abstract: This work deals with the generation of MATLAB script files that assists the user in the design of a composite laminate to operate within safe conditions. The inputs of the program are the material properties, material limits and loading conditions. Equations based on Hooke’s Law for two-dimensional composites were used to determine the global and local stresses and strains on each layer. Failure analysis of the structure was performed via the Tsai-Wu failure theory. The output of the program is the optimal number of fibre layers required for the composite laminate, as well as the orientation of each layer.
High Energy Emission from Magnetar Due to Giant Flare  [PDF]
A. Kader, K. Duorah
International Journal of Astronomy and Astrophysics (IJAA) , 2013, DOI: 10.4236/ijaa.2013.32019
Abstract:

We propose a theoretical model for magnetar giant flare to explain the flaring activity on 2004 December 27 from SGR1806-20 comprehensively. A global rearrangement is expected by the magnetic reconnection that requires explaining the giant SGR flares. In this paper we propose two regions of flares: preflare on the surface of magnetar and main burst at a distance of light cylinder radius. Acquiring the maximum potential drop on the magnetar surface, adopting space charge limited flow model, and using magnetic field B 1015 G, the luminosities of flare energies release for the preflare phase and main burst phase are found to be in the order of 1041 erg·sˉ1 and 1044 erg·sˉ1 respectively, conforming to magnetar burst energy and flare temperature is determined by considering black body radiation.

The Potential-Vortex Theory of Electromagnetic Waves  [PDF]
A. K. Tomilin
Journal of Electromagnetic Analysis and Applications (JEMAA) , 2013, DOI: 10.4236/jemaa.2013.59055
Abstract:

An electromagnetic wave is a complex vortex and a potential process. This allows us to omit the Lorentz gauge, formulate a mathematically precise theory, and avoid physics discordances. The mechanism of distribution of complex waves in dielectric and electrical conductive environments was described.

Photonics from Al-Haitham to Optoelectronics of AMTEC  [PDF]
M. A. K. Lodhi
Journal of Computer and Communications (JCC) , 2013, DOI: 10.4236/jcc.2013.17017
Abstract:

The word “photonics is derived from the Greek word “photos” meaning light. It covers all technical applications of light over the whole spectrum. Most applications, however, are in the range of the visible and near infrared light. With a brief history of classical work and tenets of optics, we will present electrical circuit of a thin-film device used in a fuel cell, called Alkali Metal Thermo Electric Convertor (AMTEC).The device uses infrared radiation to knock out electrons from some alkali metal, which after going through a circuit and having done the prescribed work, meet the ions again. The system is closed and continues working as long as the radiation source is kept on. The longevity, power and efficiency of the device depend inversely to some extent on the thickness of electrodes used for collecting electrons freed from the alkali metal, as well as of the solid electrolyte. The details of the device’s circuit comprising both electrical and optical functions will be discussed.

Driving the Diffusion of Cesium Atoms of Graphite Monolayers on Metal Surfaces into Rhenium (1010)  [PDF]
A. K. Orujov
Journal of Modern Physics (JMP) , 2014, DOI: 10.4236/jmp.2014.56048
Abstract:

It has been shown experimentally for the first time that diffusion of cesium n rhenium takes place at irradiation of atoms flux heated up to Т ≤ 1800 K \"\"-C. Analysis of thermal desorption spectra showed that cesium forms two high-temperature phases during adsorption of cesium on graphite monolayer in rhenium heated up to 1800 K. The first, intercalated phase starts filling immediately and grows up to maximum concentration. The second, diffusion phase appears with slight delay and grows incessantly during adsorption. It is for the first time that the Fick Equation has been applied for such kind of diffusion. Correspondences \"\" and average displacement L = f(Т,t) have been obtained at diffusion of surface cesium in rhenium in the interval of temperatures 1600 K < Т < 2200 K. At conditions of ν = 5 × 1013 cm-2·s-1, U = +2000 V, T = 1700 K, effectiveness of cesium diffusion

Thermal Properties Of Sediments From Middle Valley  [PDF]
A. Hafaiedh, K. Hassine
Journal of Minerals and Materials Characterization and Engineering (JMMCE) , 2005, DOI: 10.4236/jmmce.2005.41002
Abstract: A neural network model was used to treat thermal conductivity data obtained from Middle Valley. This technique was able to separate the effects of different parameters such as porosity, grain density, bulk density and water content on the thermal conductivity. Predicted curves showed good agreement with the experimental results.
Classification Using Two Layer Neural Network Back Propagation Algorithm  [PDF]
K. A. Mohamed Junaid
Circuits and Systems (CS) , 2016, DOI: 10.4236/cs.2016.78104
Abstract: Worldwide breast cancer is the most common form of cancer death occurring in 12.6% of women. This paper presents a cost effective approach to classify the normal, malignant and benign tumor using two layer neural network back propagation algorithm. Back propagation algorithm is used to train the neural network. Parallelization techniques speed up the computation process and as a result two layer neural networks outperform the previous work in terms of accuracy. Breast cancer tumor database used for the testing purpose is from the CIA machine learning repository. The highest accuracy of 97.12% is achieved using the two layer neural network back propagation algorithm.
Tire Pressure Monitoring System Using SoC and Low Power Design  [PDF]
A. Vasanthara, K. Krishnamoorthy
Circuits and Systems (CS) , 2016, DOI: 10.4236/cs.2016.713337
Abstract:

This paper presents the tire pressure monitoring system (TPMS) by using the system on chip (SoC) mixed signals with the help of Bluetooth transmission and in advantage of low power consumption design. This is to monitor the variations in temperature and pressure of the vehicle’s tire, and the TPMS system is involved. It improves the driver’s safety by automatically detecting the tire pressure and temperature and then warning signal is sent to driver to take a measure, which prevents from accident. The proposed system of tire pressure monitoring system using SoC increases the speed of indication time to the driver by using mixed signals. The inflation of the tire can be avoided by preventing from high temperature and high pressure. Limitation of temperature and pressure in the previous system is also elongated i.e. temperature from 40to 125 and pressure from 0 to 750 Kpa. Sensors, wireless communication (Bluetooth dongle) and SoC unit are used to design the low power TPMS. Quantitative results are taken and the analogy between temperature and pressure is also verified. The tested results proved by need of the practical system. Signal conditioning voltage and SoC unit is the trace for low power design TPMS. Finally, the performance of the system is tested and executed by using proteus software given as a real time application.

Heavy Metals Nickel and Chromiumin Sediments in the Juru River, Penang, Malaysia  [PDF]
A. A. Idriss, A. K. Ahmad
Journal of Environmental Protection (JEP) , 2013, DOI: 10.4236/jep.2013.411144
Abstract:

Study was conducted to determine the concentrations of (Ni) and (Cr) in sediment and to investigate the effect pH and organic matters on concentrations of nickel and chromium in sediment at Juru River, Penang, Malaysia. The sequential extraction procedure was used based on defined fractions: exchangeable, acid reduction, oxidation and residual. The concentrations of Ni and Cr in residual fraction were higher than the other fractions. In non-residual fractions, the concentration of heavy metals in organic matter fraction was much higher than other fractions (6.63 ± 3.90 μg/g-1 dry weight ) for nickel and (6.44 ± 2.10 μg/g-1 dry weight) for chromium. The pH of the sediment in all sites was acidic. The mean of total concentrations of Ni and Cr was 38.21 and 24.92 μg/g-1 dry weight, respectively. Results of organic matter analysis showed that the percentage of organic matter present in sediment samples varied throughout the river and all sites of sediments were ranged from 7.10% to 16.20%. Comparison between sampling sites using one-way analysis of variance showed that there were significant differences for Ni (P < 0.05) while there was no significant differences for Cr (P > 0.05) in changeable fraction. At acid reduction, oxidation and residual fractions, there were significant differences for the two metals (P < 0.05). For anthropogenic metals, Ni was varied significantly (P < 0.05) whereas Cr was not found significantly (P > 0.05). Analysis of pH and

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