7,840 research outputs found

    Spin Freezing in the Spin Liquid Compound FeAl2O4

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    Spin freezing in the AA-site spinel FeAl2_2O4_4 which is a spin liquid candidate is studied using remnant magnetization and nonlinear magnetic susceptibility and isofield cooling and heating protocols. The remnant magnetization behavior of FeAl2_2O4_4 differs significantly from that of a canonical spin glass which is also supported by analysis of the nonlinear magnetic susceptibility term χ3(T)\chi_3 (T). Through the power-law analysis of χ3(T)\chi_3 (T), a spin-freezing temperature, TgT_g = 11.4±\pm0.9~K and critical exponent, γ\gamma = 1.48±\pm0.59 are obtained. Cole-Cole analysis of magnetic susceptibility shows the presence of broad spin relaxation times in FeAl2_2O4_4, however, the irreversible dc susceptibility plot discourages an interpretation based on conventional spin glass features. The magnetization measured using the cooling-and-heating-in-unequal-fields protocol brings more insight to the magnetic nature of this frustrated magnet and reveals unconventional glassy behaviour. Combining our results, we arrive at the conclusion that the present sample of FeAl2_2O4_4 consists of a majority spin liquid phase with "glassy" regions embedded.Comment: 5 pages, 6 figs, 2-column, Accepted to Phys. Rev.

    Double-phase transition and giant positive magnetoresistance in the quasi-skutterudite Gd3_3Ir4_4Sn13_{13}

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    The magnetic, thermodynamic and electrical/thermal transport properties of the caged-structure quasi-skutterudite Gd3_3Ir4_4Sn13_{13} are re-investigated. The magnetization M(T)M(T), specific heat Cp(T)C_p(T) and the resistivity ρ(T)\rho(T) reveal a double-phase transition -- at TN1T_{N1}\sim 10~K and at TN2T_{N2}\sim 8.8~K -- which was not observed in the previous report on this compound. The antiferromagnetic transition is also visible in the thermal transport data, thereby suggesting a close connection between the electronic and lattice degrees of freedom in this Sn-based quasi-skutterudite. The temperature dependence of ρ(T)\rho(T) is analyzed in terms of a power-law for resistivity pertinent to Fermi liquid picture. Giant, positive magnetoresistance (MR) \approx 80%\% is observed in Gd3_3Ir4_4Sn13_{13} at 2~K with the application of 9~T. The giant MR and the double magnetic transition can be attributed to the quasi-cages and layered antiferromagnetic structure of Gd3_3Ir4_4Sn13_{13} vulnerable to structural distortions and/or dipolar or spin-reorientation effects. The giant value of MR observed in this class of 3:4:13 type alloys, especially in a Gd-compound, is the highlight of this work.Comment: 20 pages single column, 7 figures, 1 table; Accepted to J. Appl. Phys., 201

    Motion of falling object

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    A simple setup was assembled to study the motion of an object while it falls. The setup was used to determine the instantaneous velocity, terminal velocity and acceleration due to gravity. Also, since the whole project was done within $20 it can easily be popularized.Comment: 11 pages, 4 figur

    Non-Destructive Evaluation—A Pivotal Technology for Qualification of Composite Aircraft Structures

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    Tremendous advances in composite materials and a deeper understanding of their behavior have been responsible for the increased use of composites in the development of advanced, new generation civil and military aircraft. Composites play an important role in any aircraft development programme and are strong contenders to their metal counterparts due to their significant contributions towards improving strength, stiffness, fatigue properties & weight reduction. As materials, structural design & processing have evolved, strong emphasis is placed on effective & reliable damage detection, durability and damage tolerance. As a consequence, Non-destructive Evaluation (NDE) has also undergone significant advances towards meeting the growing demands of quality assurance. Advanced Composites Division (ACD) of National Aerospace Laboratories (NAL), has been involved in the development of composite structures for both civil and military aircraft for over a decade and a half. Innovative composite processing methods like co-curing/co-bonding have been successfully employed to realize airworthy structures. The role of NDE in the development of these structures has been critical and not limited to damage detection alone. On several occasions, NDE has provided valuable inputs towards improving design and process parameters. In-spite of the complexity of the structures, stringent quality requirements and tight delivery schedules, NDE has been successful in certifying these composite structures for airworthiness. This paper discusses the implementation of key NDE techniques like ultrasonics, radiography, acoustic emission and thermography for reliable flaw detection, characterization and quality assurance of composite aircraft structures

    Theoretical analysis of perching and hovering maneuvers

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    Unsteady aerodynamic phenomena are encountered in a large number of modern aerospace and non-aerospace applications. Leading edge vortices (LEVs) are of particular interest because of their large impact on the forces and performance. In rotorcraft applications, they cause large vibrations and torsional loads (dynamic stall), affecting the performance adversely. In insect flight however, they contribute positively by enabling high-lift flight. Identifying the conditions that result in LEV formation and modeling their effects on the flow is an important ongoing challenge. Perching (airfoil decelerates to rest) and hovering (zero freestream velocity) maneuvers are of special interest. In earlier work by the authors, a Leading Edge Suction Parameter (LESP) was developed to predict LEV formation for airfoils undergoing arbitrary variation in pitch and plunge at a constant freestream velocity. In this research, the LESP criterion is extended to situations where the freestream velocity is varying or zero. A point-vortex model based on this criterion is developed and results from the model are compared against those from a computational fluid dynamics (CFD) method. Abstractions of perching and hovering maneuvers are used to validate the low-order model's performance in highly unsteady vortex-dominated flows, where the time-varying freestream/translational velocity is small in magnitude compared to the other contributions to the velocity experienced by the leading edge region of the airfoil. Time instants of LEV formation, flow topologies and force coefficient histories for the various motion kinematics from the low-order model and CFD are obtained and compared. The LESP criterion is seen to be successful in predicting the start of LEV formation and the point-vortex method is effective in modeling the flow development and forces on the airfoil. Typical run-times for the low-order method are between 30-40 seconds, making it a potentially convenient tool for control/design applications

    Macro-Economic Variables and Stock Market Performance: Empirical Evidence from Colombo Stock Exchange

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    Stock market performance is considered as a significant indicator of financial and economic circumstances of a country. In a nutshell, a secured and regulated financial environment is being provided by the stock market where shares can be transacted at lower operational risk. The stock market also functions as a platform through savings, and investments of individuals are channelized into productive investment proposals. It allows capital formation and economic growth for the nation. The ultimate objective of this study is to examine the impact of macroeconomic variables on stock market performance. The macroeconomic variables (independent variables) used in this research study are Inflation, Interest Rate, and GDP. Stock market performance (All-Share Price Index) is the dependent variable. 120 Monthly observations from January 2009 to December 2018 had been taken for the study. The Augmented Dickey Fuller’s unit root test, Ordinary Least Squares Regression and Correlation analysis were applied to the variables. The results of correlation analysis indicated that inflation and Stock market performance are positively associated meanwhile interest rate, and GDP and Stock market performance are negatively correlated. The Ordinary Least Square results showed that nearly 75% of the variation in all share price index is explained by the three macroeconomic variables, GDP, TB and WPI. The study suggested some of the possible reasons for the positive impact of Inflation on the Colombo Stock market performance, and negative impact of Interest Rate on Stock market performance and recommended that efforts should be made to improve the Stock market performance.DOI: http://doi.org/10.31357/fhss/vjhss.v05i02.0
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