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Performance of CI Engine Operating with Hydrogen Supplement Cocombustion with Jojoba Methyl Ester
(Elsevier, 2016-06-29)
The present work experimentally investigates the performance of compression ignition (CI) engine which operates on hydrogen and Jojoba methyl ester (JME). The hydrogen is introduced by enriching air-intake manifold with ...
Balun LNA Thermal Noise Analysis and Balancing With Common-Source Degeneration Resistor
(IEEE, 2020)
The Balun low noise amplifier (LNA) is an LNA that exploits a combination of a common-source (CS) and a common-gate (CG) transistors, which cancels the noise and distortion of the CG stage. And since the CG is known to be ...
Hydrogen Supplement Co-combustion with Diesel in 2 Compression Ignition Engine
(Elsevier, 2015-10)
The present work investigates experimentally the behavior of compression ignition engine while boosting the combustion by enriching air-intake manifold with hydrogen supplement at the atmospheric condition. The study reports ...
In-Vitro Degradation of Hollow Silica Reinforced Magnesium Syntactic Foams in Different Simulated Body Fluids for Biomedical Applications
(MDPI, 2020)
This article reports the mechanical and biocorrosion behaviour of hollow silica nanosphere (SiO₂) reinforced (0.5–2 vol.%) magnesium (Mg) syntactic foams. Room temperature tensile properties’ characterization suggests that ...
Critical resolved shear stress for slip and twin nucleation in single crystalline FeNiCoCrMn high entropy alloy
(Elsevier, 2017)
High entropy alloys is an emerging class of materials with superior mechanical properties down to cryogenic temperatures. At 77K, and unlike traditional metallic alloys, an increase in strength, strain hardening rate, and ...
Behavioral Modeling of GaN Doherty Power Amplifiers Using Memoryless Polar Domain Functions and Deep Neural Networks
(IEEE, 2020)
In this paper, novel Doherty Power Amplifier (DPA) models are presented. The motivation behind the proposed models is to accurately predict static nonlinearities in the compression regions of the carrier and peaking ...
Using Linear Regression and Back Propagation Neural Networks to Predict Performance of Soiled PV Modules
(Elsevier, 2019)
This paper presents a study on neural network-based modeling techniques and sensor data to estimate the power output of photovoltaic systems under soiling conditions. Predicting maximum power output under soiling conditions ...
A Comprehensive Method of Ion Exchange Resins Regeneration and Its Optimization for Water Treatment
(IntechOpen, 2020-08)
Ion exchange membranes, specifically resin technology, lie at the heart of electrolytically conductive systems used in the treatment of wastewater. This chapter deals with ion exchange deionization and the effect of resin ...
The flexural behavior of bolting and bonding Aluminum Alloy plates to RC beams
(Elsevier, 2019)
The aim of this experimental investigation is to study the effect of using externally bonded and bolted Aluminum Alloy (AA) plates on the strength, stiffness, ductility and failure modes of Reinforced Concrete (RC) beams. ...
Formulation of heat conduction and thermal conductivity of metals
(De Gruyter, 2019)
The well-known low-pressure monatomic gas thermal conductivity expression is based on the Maxwell-Boltzmann velocity distribution and involves the mean particle velocity, the gas heat capacity at constant volume and the ...