National Institute of Technology, Silchar

About: National Institute of Technology, Silchar is a education organization based out in Silchar, Assam, India. It is known for research contribution in the topics: Computer science & Control theory. The organization has 1934 authors who have published 4219 publications receiving 41149 citations. The organization is also known as: NIT Silchar.

Effect of nanofluid on thermo hydraulic performance of double layer tapered microchannel heat sink used for electronic chip cooling

Abstract: Thermo-hydraulic performance analysis of a tapered double layer microchannel heat sink (DL-MCHS) is done numerically. Water and Al2O3–H2O nanofluid coolants are used with uniform heat flux at the base of DL-MCHS. Comparatively higher heat transfer and lower pressure drop can be achieved considering temperature dependent thermo-physical properties. An overall performance factor is determined which indicates that though the tapered channel gives better thermal performance than straight channel, it is not always advantageous, if hydraulic performance is also considered, due to the increase in pressure drop penalty. Finally, from optimization study, maximum heat transfer is obtained at tapering factor of 0.32.

Oscillation criteria for impulsive partial fractional differential equations

Abstract: In this paper, we established some sufficient conditions for oscillation of solutions of a class of impulsive partial fractional differential equations with forcing term subject to Robin and Dirichlet boundary conditions by using differential inequality method. As an application, we included an example to illustrate the main result.

Novel analytical model for optimizing the pull-in voltage in a flexured MEMS switch incorporating beam perforation effect

Abstract: This paper presents a new method for the design, modelling and optimization of a uniform serpentine meander based MEMS shunt capacitive switch with perforation on upper beam. The new approach is proposed to improve the Pull-in Voltage performance in a MEMS switch. First a new analytical model of the Pull-in Voltage is proposed using the modified Mejis-Fokkema capacitance model taking care of the nonlinear electrostatic force, the fringing field effect due to beam thickness and etched holes on the beam simultaneously followed by the validation of same with the simulated results of benchmark full 3D FEM solver CoventorWare in a wide range of structural parameter variations. It shows a good agreement with the simulated results. Secondly, an optimization method is presented to determine the optimum configuration of switch for achieving minimum Pull-in voltage considering the proposed analytical mode as objective function. Some high performance Evolutionary Optimization Algorithms have been utilized to obtain the optimum dimensions with less computational cost and complexity. Upon comparing the applied algorithms between each other, the Dragonfly Algorithm is found to be most suitable in terms of minimum Pull-in voltage and higher convergence speed. Optimized values are validated against the simulated results of CoventorWare which shows a very satisfactory results with a small deviation of 0.223 V. In addition to these, the paper proposes, for the first time, a novel algorithmic approach for uniform arrangement of square holes in a given beam area of RF MEMS switch for perforation. The algorithm dynamically accommodates all the square holes within a given beam area such that the maximum space is utilized. This automated arrangement of perforation holes will further improve the computational complexity and design accuracy of the complex design of perforated MEMS switch.

Selection of Energy-Efficient Material: An Entropy–TOPSIS Approach

Abstract: Reduction of environmental effect from material uses is a big challenge on the view of material selection as per recent scientific reports. This paper aims to identify the major challenges of material selection for the future use and suggest an appropriate energy-efficient material based on the performance by the decision maker on the various issues. The proposed work presents a multi-criteria decision-making (MCDM) analysis—Technique for order of preference by similarity to ideal solution (TOPSIS) to find the appropriate selection and evaluate the best energy-efficient material on the basis of criteria. In this paper, different energy-efficient materials have been taken into consideration under multiple uncertainties. Firstly, materials are figure out acquiesce to one and the other approximate and perceptible precedent ensue from entropy analysis. Entropy is a convenient technique in critical administration and takes advantage of this crucial executive strategy for criteria weight to deal with material selection in environment-friendly way. Thereafter, the results are used as an input for TOPSIS to designate the array of materials. To our observation, this is the first analysis in the energy-efficient material selection which considers environmental threats. The effect of weighting factors has also been deliberated.

On fuzzy I-convergent difference sequence spaces

Abstract: In this article we introduce the notions of I-convergent and I-bounded difference sequences of fuzzy real numbers. We study different properties of I-convergent, I-null and I-bounded difference sequence spaces of fuzzy real numbers like completeness, solidness, monotone, symmetricity, sequence algebra, convergence free, nowhere denseness. We prove some inclusion results also.