National Institute of Technology, Meghalaya

About: National Institute of Technology, Meghalaya is a education organization based out in Shillong, India. It is known for research contribution in the topics: Control theory & Electric power system. The organization has 503 authors who have published 1062 publications receiving 6818 citations. The organization is also known as: NIT Meghalaya & NITM.

Comparative Study of Stress Analysis for Three Bladed Underwater Vehicle Propellers with Two Different Composite Materials

Abstract: The present work consists of modelling and stress analysis of a three-bladed underwater vehicle propeller. Since operational costs for underwater testing are very high, a high ending software is preferred for modelling and for obtaining first-hand information on propeller performance. Static structural analysis is carried out computationally after considering suitable boundary conditions. The main objective is to carry out a comparative study of stresses on propellers made from two different composite materials–carbon/glass fibre reinforced plastics (CFRP/GFRP). In recent times, composite materials are more efficient as propeller blade material than conventional metallic materials due to their lightweight, high strength, and long durability. From the analysis, it is observed that stresses, as well as deflection on GFRP are comparable to those on CFRP propeller with lesser cost involvement. Modal analysis is also performed to find natural frequency and mode shape in each case.

Automated Vehicles Path Modification for Designated Via-Point Using Nonlinear Simplex Optimizer

Abstract: Path generation and modification are very important issues in the operation of automated vehicles. The pertaining processing time and accuracy in real time often depend on the type of solution algorithm. In this paper, a gradient-free optimization algorithm has been used for Bezier curve-based base path modification for passing through the designated via-point. The strength of nonlinear simplex optimizer in the limited three-dimensional solution space is added with the features of no requirement of computing derivatives and smooth objective function. The performance of the proposed method is compared with that of the method using gradient-based optimizer through computer simulation results.

Fuzzy Logic Based Clustering for Energy Efficiency in Wireless Sensor Networks

Abstract: For wireless sensor network (WSN) many routing protocols are proposed to reduce energy consumption Clustering methodology has been used in WSN for increasing the longevity of the network Independent clusters are formed by grouping sensor nodes and selecting one node as cluster head (CH) to represent the cluster Role of CH plays vital part for clustering methodology as CH is more important as compared to member nodes In the literature fuzzy approaches with clustering methodology have been examined for well load balanced clusters Our proposed approach in this paper is based on fuzzy logic which considers distance to Base Station (BS), remaining energy of nodes, node density, intra-cluster communication distance, remaining energy of CH and density of CH as input fuzzy sets In this fuzzy approach, the whole process of clustering is divided into two phases In the first phase, CH selection is completed by considering the parameters - distance to the base station (BS), remaining energy of node and node density of each node In the second phase, cluster formation has been taken place by joining of non CH nodes with a particular CH taking parameters distance to CH, the remaining energy of CH and density of the CH The proposed approach improves the load balancing and node lifetime as compared with the other simulated approaches

Design and Optimization of Air–Biogas Mixing Device for Dual Fuel Diesel Engines

Abstract: Biogas is a widely accepted and sufficiently available source of renewable alternative fuel, which can help to reduce the ever-rising demand of conventional fuel, particularly in the internal combustion engines. The mixer design plays a very vital role in the combustion phenomena of biogas in the engine, where biogas can be used as a primary source of energy. A venturi-type mixer is to be optimized for air–biogas mixing. The present study describes the three-dimensional computational fluid dynamics (CFD) modeling, which is used to investigate and analyze the influence of the number of biogas inlets around the throat to provide a homogeneous mixture at the outlet. The motive of the study is based on the effect of venturi mixer geometry on the pressure drop, distribution of velocity, turbulence kinetic energy, and mixing quality. Based on the available results of the venturi mixer with two biogas inlets, the design is modified with three inlets for a better distribution of biogas. The optimized design has improved the pressure gradient at the throat of 1026 Pa and provides enhanced mixing with improved turbulence utilization in the mixing of air–biogas species.

Analysis of the Universal Gates based on the Comparative Factors of Delay Propagation, Average Power Dissipation and Logical Effort

Abstract: This paper illustrates the practical/working difference between the universal logic gates- NAND & NOR. The comparative analysis of the universal gates has been carried out, based on the parameters of delay, Fan-out and power consumption. The design and simulations are performed using Cadence Virtuoso tool in 45nm CMOS technology. The simulation results are in agreement to the literature presented regarding the logical effort of the gates. Here, the power dissipation and the delay calculations lead to conclusive results which are extensively discussed in this paper. The comparative assessment implemented for the gates is performed with same technology and same circuit designing techniques. Further, this work provides a decisive comment on- which amongst the two universal gates is more efficient for CMOS design.