Thermodynamic and Electrochemical Studies of Aniline and Phenylhydrazine and Their Derivatives Substituted POCl3-Based Compounds as Corrosion Inhibitor for Mild Steel in Hydrochloric Acid Solution

Protection of Metals and Physical Chemistry of Surfaces - The achievement of high corrosion inhibition performances by manipulating the molecular structure of organic substances has gained much...     

A novel high dynamic range differential LNA using quartet topology

In some applications such as short-range radars, a large target can desensitize the receiver. A high dynamic range low-noise amplifier (LNA), as a key component of a transmitter/receiver module, can improve the entire system performance. This study presents a high dynamic range differential LNA that uses a differential quartet topology for the first time. The LNA shows more linearity than the conventional differential common source LNAs. For a typical 0.18 µm CMOS technology, it achieves a power gain of about 5.5 dB at 24 GHz, a low noise figure (NF) of 3.5 dB, very good linearity performance, an input-referred third-order intercept point (IIP3) of +?6.3 dBm, and an input-referred 1 dB compression point (P1dB) of ??4.5 dBm.     

Improving on Linear Scan Register Allocation

Register allocation is a major step for all compilers. Various register allocation algorithms have been developed over the decades. This work describes a new class of rapid register allocation algorithms and presents experimental data on their behavior. Our research encourages the avoidance of graphing and graph-coloring based on the fact that precise graph-coloring is nondeterministic polynomial time-complete (NP-complete), which is not suitable for real-time tasks. In addition, practical graph-coloring algorithms tend to use polynomial-time heuristics. In dynamic compilation environments, their super linear complexity makes them unsuitable for register allocation and code generation. Existing tools for code generation and register allocation do not completely fulfill the require- ments of fast compilation. Existing approaches either do not allow for the optimization of register allocation to be achieved compre- hensively with a sufficient degree of performance or they require an unjustifiable amount of time and/or resources. Therefore, we pro- pose a new class of register allocation and code generation algorithms that can be performed in linear time. These algorithms are based on the mathematical foundations of abstract interpretation and the computation of the level of abstraction. They have been implemen- ted in a specialized library for just-in-time compilation. The specialization of this library involves the execution of common intermedi- ate language (CIL) and low level virtual machine (LLVM) with a focus on embedded systems.     

Simultaneous optimization of repair and control-limit policy in condition-based maintenance

In condition-based maintenance (CBM) planning, collected information from system condition monitoring is the basis of making decision about conducting the maintenance and repair activities. Recently, ample number of studies has been conducted in CBM field especially, in control-limit policy. In control-limit policy, using proportional Hazards model and results of monitoring system condition, one can estimate hazard rate function and its condition’s transition probability matrix. Then, considering replacement costs, optimal control-limit can be determined minimizing the average cost in the long run. The presented model considers repair policy and their implementation cost, and the assumptions of repair during interval inspection is ignored. Then, a model is presented to determine the optimal control-limit and the best repair policy, in which the average total cost per unit time in the long-run, is minimized. At the end, a numerical example is illustrated.     

The Density Functional Study of Structural,Electronic, Magnetic and Thermodynamic Properties of XFeSi (X = Gd,Tb, La) and GdRuSi Compounds

The structural, electronic, magnetic, and thermodynamic properties of XFeSi (X = Gd, Tb, La) and GdRuSi compounds are investigated using density functional theory by the WIEN2k code. Using the first-principle procedure, the Hubbard parameter of Gd and Tb 4f electrons and La 5d electrons of XFeSi (X = Gd, Tb, La) and GdRuSi compounds is calculated. The structural and electronic and magnetic properties of these compounds within GGA and GGA + U approaches in the presence of spin-orbit coupling are calculated and compared. The calculated results indicate that the ferromagnetic phase is the most stable phase of XFeSi (X = Gd, Tb) and GdRuSi compounds and the nonmagnetic phase is the stable phase of LaFeSi. The magnetic moment of GdFeSi, GdRuSi, and TbFeSi compounds is due to Gd and Tb atoms. The calculated electronic band structures of these compounds show that these compounds have metallic behavior. Furthermore, the thermodynamic properties of these compounds using the quasi-harmonic Debye model as a function of temperature and pressure within GGA and GGA + U approaches are investigated.     

Optimal fuzzy controller based on non-monotonic Lyapunov function with a case study on laboratory helicopter

This paper presents a new approach to design an observer-based optimal fuzzy state feedback controller for discrete-time Takagi–Sugeno fuzzy systems via LQR based on the non-monotonic Lyapunov function. Non-monotonic Lyapunov stability theorem proposed less conservative conditions rather than common quadratic method. To compare with optimal fuzzy feedback controller design based on common quadratic Lyapunov function, this paper proceeds reformulation of the observer-based optimal fuzzy state feedback controller based on common quadratic Lyapunov function. Also in both methodologies, the dependence of optimisation problem on initial conditions is omitted. As a practical case study, the controllers are implemented on a laboratory twin-rotor helicopter to compare the controllers' performance.     

Development of polylactide open‐cell foams with bimodal structure for high‐acoustic absorption

In this study, a highly porous and interconnected foam structure was fabricated using compression molding combined with particulate‐leaching technique. The foamed structures were fabricated with polylactide (PLA) and polyethylene glycol (PEG) with salt as the particulate. The pore size of the foam structure is controlled by the particulates size and higher interconnectivity is achieved by the co‐continuous blending morphology of the PLA matrix with the water‐soluble PEG. PLA is a fully bio‐based thermoplastic polymer and is derived from renewable resources, such as cornstarch or sugarcanes. PEG is also fully biodegradable polymer produced from ethylene. Fabricated foams were characterized for cellular, acoustic, and mechanical properties. The acoustic performance of the foams was studied by measuring the normal incident absorption coefficient in accordance with the ASTM E1050 standard. The results show open porosity as high as 88% was achieved and the effect of water‐soluble polymer on cellular properties and acoustic and mechanical performance of the foams was studied. As a result of the secondary porous structure formed into cell walls by water soluble polymer, the overall absorption of fabricated PLA foams was increased to above 90% while the average absorption of the foams remained unchanged. In addition, the resulting acoustic foams are benign and environmentally friendly. © 2013 Wiley Periodicals, Inc. J. Appl. Polym. Sci. 2014 , 131, 39518.     

Prediction of the effect of artificial aging heat treatment on the yield strength of an open-cell aluminum foam

The effect of artificial aging on the compression yield strength of an open-cell AA6101 foam is studied using both experimental and modeling approaches. Isothermal calorimetry is used to analyze the precipitation kinetics of the foam. The modeling work combines the established approaches for predicting the yield strength of open-cell metallic foams as a function of the relative density and normalized strength, as well as the age hardening behavior of AA6101 alloy. The foam yield strength is related to the evolution of precipitate content during aging and is modeled for artificial aging at 180 and 220 °C. It is shown that the model predictions match very well with the experimentally determined yield strength values. The overall results suggest that the presented analytical and modeling approaches can effectively be used to predict the precipitation hardening behavior and/or optimize processing and properties of AA6101 foams.