75 research outputs found
Development of Gearless Power Transmission
No full textAbstract: In modern machineries, the motion and power need to be transferred from one shaft to other for various and complex activities. Also, it is essential to achieve such objectives with maximum efficiency and minimum cost. For transmitting power between different orientations of shaft, various medium like belt, chain and especially gears are used. But due to cost of manufacture of gear, interchangeability in parts and very limited shaft orientations, need arises for an alternative system. In this project a Gearless power transmission system has been studied, a possible gearless power transmission layout is designed and developed where it can transmit power from one shaft to other without any gear being used. This project deals with transmission of power from one shaft to other at right angle by means of sliding links that form revolute pair with the hub.
Keywords: Gearless drive, Power transmission, Sliding links, Elbow power transmission.
Title: Development of Gearless Power Transmission
Author: Sri Ravi Teja Appikonda, Sai Kiran Sarikonda, Nazeer Shaik, Anzar Mohammad, Gopiraja Parimi
International Journal of Recent Research in Civil and Mechanical Engineering (IJRRCME)
ISSN 2393-8471
Vol. 9, Issue 1, April 2022 - September 2022
Page No: 1-5
Paper Publications
Website: www.paperpublications.org
Published date: 04-May-2022
DOI: https://doi.org/10.5281/zenodo.6517375
Paper download link (Source):
https://www.paperpublications.org/upload/book/Development%20of%20Gearless-04052022-3.pdfPaper Publications, Website: www.paperpublications.org, International Journal of Recent Research in Civil and Mechanical Engineering (IJRRCME), ISSN 2393-847
Critical behavior near the ferromagnetic phase transition in double perovskite Nd2NiMnO6
No full textA comparative study of control techniques for power loss minimization in a distribution network
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Optimizing energy cost in the residential sector through home energy management systems in a smart grid environment
No full textWorldwide energy demand is increasing exponentially, presenting significant challenges for existing power generation systems to meet this demand. Enhancing energy efficiency has become critical for reducing consumption and addressing the ongoing environmental crisis. Consequently, there is a need for smart control systems that optimize system costs and improve efficiency. Because of the introduction of smart grids, customers can now participate in demand-side management and integrate renewable energy sources (RESs). Electricity consumption during peak hours often leads to increased grid demand and higher costs. However, the integration of RESs enables consumers to operate appliances during peak hours, thereby reducing reliance on grid power. Therefore, residential load management seeks to reduce power peaks and electrical energy costs. In home energy management systems (HEMS), appliance scheduling is crucial because it continually monitors appliance usage, ensuring that energy supply and demand are balanced. This research aims to optimize power usage by reducing peak loads and electricity costs through the integration of RESs, such as solar or photovoltaic (PV) systems, while considering grid limitations, PV capacity, appliance ON/OFF schedules, and time-of-use tariffs. A genetic algorithm (GA) based optimization technique was employed to evaluate the performance of a HEMS and validated with particle swarm optimization (PSO) technique under identical initial conditions for each appliance and their corresponding energy pricing over different periods. The results show that GA achieved a 48% cost reduction compared to PSO, with significant peak load reduction and improved energy optimization when integrated with PV systems. GA also demonstrated better appliance scheduling, with appliances in the “ON” state for 82% of the time, compared to 52% with PSO.Electrical and Computer Engineerin
An Enhanced System Architecture for Optimized Demand Side Management in Smart Grid
No full textDemand Side Management (DSM) through optimization of home energy consumption in the smart grid environment is now one of the well-known research areas. Appliance scheduling has been done through many different algorithms to reduce peak load and, consequently, the Peak to Average Ratio (PAR). This paper presents a Comprehensive Home Energy Management Architecture (CHEMA) with integration of multiple appliance scheduling options and enhanced load categorization in a smart grid environment. The CHEMA model consists of six layers and has been modeled in Simulink with an embedded MATLAB code. A single Knapsack optimization technique is used for scheduling and four different cases of cost reduction are modeled at the second layer of CHEMA. Fault identification and electricity theft control have also been added in CHEMA. Furthermore, carbon footprint calculations have been incorporated in order to make the users aware of environmental concerns. Simulation results prove the effectiveness of the proposed model
Consanguineous marriages and their detrimental outcomes in Pakistan: an urgent need for appropriate measures
No full textConsanguineous marriage is a union between first or second cousins. This practice is very common in developing Asian countries especially Pakistan. Around 70% of marriages in Pakistan are consanguineous. The major factors that promote consanguinity are arranged marriages, illiteracy and inter-caste marriages. The complications that follow include, small birth size, congenital malformations, neonatal mortality, rare genetic disorders, congenital deafness, congenital heart disorders and mental retardation. Serious steps must be taken to overcome this ongoing crises. Counselling, genetic screening, pre-natal diagnostic tests are some of the measures that are essential. Government involvement is also necessary to promote awareness and discourage consanguinity.</jats:p
Experimental investigation of evacuated gas tube solar collectors for water heating applications
No full textVoltage Regulation and Power Loss Minimization by Using Unified Power Flow Control Device
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