Vignan University

About: Vignan University is a education organization based out in Guntur, Andhra Pradesh, India. It is known for research contribution in the topics: Computer science & Control theory. The organization has 1138 authors who have published 1381 publications receiving 7798 citations.

Electric Field Stress in a Three Phase Common Enclosure Gas Insulated Busduct with FGM Post Type Spacer and Reduction with Metal Inserts

Abstract: The establishment of supporting insulators plays a vital role in the continuous operation of the three-phase Gas Insulated Busduct (GIB), which primarily depends on the distribution of electric field stress on the spacer surface. Shape control is a technique used along the spacer surface to achieve uniform field intensity, but this technique can also lead to very irregular shapes. The Triple Junction (TJ) is the region where the field stress has to be reduced. Over a period, high field stresses along the spacer surface will result in a surface flashover and thus de-energize the complete GIB, leading to enormous losses economically. In this paper, a Functionally Graded Material (FGM) spacer for a three-phase GIB has been designed with more number of gradings and further field stress at TJ is minimized by inserting and reshaping the metal inserts (MI) at the end of the enclosure. By doping them with different permittivity values, functionally graded materials are spatially distributed with multiple filler materials to achieve uniform stress on the electric field. Simulation is carried out with the FGM and epoxy (post type) Spacers for different voltages and FGM gradings. With MI, the stress is minimized and an enhanced uniform field allocation along the surface is obtained.

Influence of Processing Variables on Tensile Strength and Water Absorption of Natural Fibers Hybrid Composites

Abstract: Natural fibers are gaining popularity among researchers and academics for use in polymer composites due to their environmental friendliness and long-term viability.A new series of green composites ...

Hybrid Intelligent System Tool to Improve Technological Growth in Science and Technology(S&T) Sector by Identifying the GAP

Abstract: A priority analysis and prediction is required to study about consistent growth in Science and Technology Sector (S&T). It is by developing a artificial intelligence tool to bolster technological growth by studying and comparing behavioral factors of temporal and current data. Obtain the epidemiological, temporal, and cohort study about Technological Growth (TG) on the sectors such as Environment Engineering Science (EES), Health Engineering (HE), Energy and Resource Engineering (EE), and Agricultural Engineering (AE) to find deviated habitat behavioral data for observation and analysis to strengthening Technological Growth (TG). Knowledge of deep learning in hybrid intelligent system tool confers an alarm and pavement to smart, healthy, and quality innovation to overcome the interdependent pitfall.