Role Of Important Parameters Research Articles

Triggering of electro-elastic anti-superhydrophobicity during non-Newtonian droplet collision

The present article discusses the electrohydro-dynamics of impacting non-Newtonian dielectric droplets on superhydrophobic (SH) surfaces. The role of important parameters like electric Eotvos number ( Eo e ), Weber number ( We ), dielectric particle concentration ( TiO 2 ) and polymer concentration ( PEG-400 ) were elucidated in this experimental study. Due to the interplay of non-Newtonian effects and electric field, we had observed the suppression of drop rebound on SH surfaces at much lower Eo e compared to its Newtonian counterpart. It has been observed that with an increase in both polymer concentration or dielectric particle concentration, the suppression of drop rebounds was observed at lower Eo e. In order to encapsulate the combined effects of electric field and non-Newtonian dynamics on drop rebound suppression, we have introduced the ‘electro-elastic effect’. Contrary to the common observations of drop rebound on SH surfaces, this electro-elastic effect induces inhibition of drop rebound, thereby resulting in anti-superhydrophobicity. Subsequently, we also established a scaling relationship to show that the rebound suppression is observed as a manifestation of the onset of electro-elastic instability, when a proposed electric Weissenberg number ( Wi e ) exceeds unity. Finally, we demarcated the rebound and rebound suppression regimes of droplet dynamics through a detailed phase map.

The Role of Master Laser with Feedback in Time-Delay Signature Suppression of Semiconductor Laser Subject to Chaotic Optical Injection

The important role of parameters in master laser with optical feedback for the elimination of time-delay (TD) signature in semiconductor laser subject to chaotic optical injection is investigated systemically. The experimental results show that TD signature suppressed chaotic signals can be credibly generated by increasing the feedback strength of the master laser, which is quite different from the trends observed in semiconductor laser (SL) with optical feedback. Systematically numerical analysis is also carried out as a validation, and it is shown that with low bias current and strong feedback strength, parameter regions contributing to successful TD suppression are much wider. Furthermore, it is shown that the influence of frequency detuning in TD concealment will change with the increase of feedback strength. All the numerical results are in perfect accordance with experimental observation.

Multi Objective Optimization in Drilling of Al/SiC Composites using Desirability Functions

Elevated specific strength along with very good corrosion resistance, metal matrix composites (MMCs) are materials that are eye-catching for a huge choice of engineering applications. Given the factors of reinforcement type, form, and quantity, it could be varied, in adding up to matrix characteristics, the composites have a huge potential for being tailored for particular applications. This paper presents the detailed experimental investigation on drilling Metal Matrix Composite of Aluminium Silicon Carbide particulate (Al/SiC). Experiments were carried out on Radial Drilling Machine. An experiment method, based on the Taguchi technique, was performed. The aim of this paper is to utilize desirability function analysis (DFA) approach to investigate the effect of drilling process variables such as spindle speed, feed rate, diameter of hole, machining time on metal removal rate, specific energy, surface roughness, volume fraction and flank wear. A composite desirability value is attained for the multi-responses by individual desirability values from the desirability function analysis. With respect to composite desirability value, the optimum levels of parameters have been identified, and important role of parameters is determined by analysis of variance.

On the interaction of a single-walled carbon nanotube with a moving nanoparticle using nonlocal Rayleigh, Timoshenko, and higher-order beam theories

Interaction of a moving nanoparticle with a single-walled carbon nanotube (SWCNT) is of concern. The SWCNT is simulated by an equivalent continuum structure (ECS) under simply supported boundary conditions. The moving nanoparticle is modeled by a moving point load by considering its full inertial effects and Coulomb friction with the inner surface of the ECS. The ECS under the moving nanoparticle is modeled based on the Rayleigh, Timoshenko, and higher-order beam theories in the context of the nonlocal continuum theory of Eringen. The dimensionless discrete equations of motion associated with the nonlocal beam models are then obtained by using Galerkin method. The effects of slenderness ratio of the ECS, ratio of mean radius to thickness of the ECS, mass weight and velocity of the moving nanoparticle, and small scale parameter on the dynamic response of the SWCNT are explored. The capabilities of various nonlocal beam theories in capturing the longitudinal and transverse displacements as well as the nonlocal axial force and bending moment are also scrutinized in some detail. The possibility of moving nanoparticle separation from the inner surface of the SWCNT is examined by monitoring the sign of the contact force. Subsequently, the role of important parameters on the possibility of this phenomenon is explored using various nonlocal beam theories.

MOSFET I– V characteristics at small and large drain biases in the linear region

A new conventional mobility formula is advised to overcome the enigmas of the known formula. It is made possible to extract all device parameters including the series resistance for each device, and the formula is helpful in deriving an I– V formula over the entire linear region of MOSFETs. The proposed mobility formula is akin to the known one and can overcome the two problems inherent to the traditional mobility model of: (1) inability of explicitly assessing the series resistance, and (2) difficulty with analytical integration over the surface potential along the channel. The series resistance is extracted independently for each device, and its channel length dependence can now be discussed. A new formula is derived for the linear region where the role of important parameters is easy to interpret. It is discussed that the parameter n may differ with devices. When optimized, an average fitting error as small as ≈0.4% is achieved over the entire linear region.