Biomaterial Strategies for Immune System Enhancement and Tissue Healing
Qualitative and Quantitative Performance Optimization of Simple Gas Turbine Power Plant using Three Different Types of Fuel
Efficient Shopping: RFID-Powered Cart with Automated Billing System
Medical Drone System for Automated External Defibrillator Shock Delivery for Cardiac Arrest Patients
A Critical Review on Biodiesel Production, Process Parameters, Properties, Comparison and Challenges
Review on Deep Learning Based Image Segmentation for Brain Tumor Detection
Chemistry and Chemical Engineering: Approaches, Observations, and Outlooks
Integration of PMS Software and Decision Matrix Tool Based on Data Acquired from Latest IT Advanced Sensors and 3D CAD Models in Marine Operations Field
A Series of Tool-Life Studies on Aluminium Matrix Hybrid Composites
Dynamic Changes in Mangrove Forest and Lu/Lc Variation Analysis over Indian Sundarban Delta in West Bengal (India) Using Multi-Temporal Satellite Data
The Impacts of Climate Change on Water Resources in Hilly Areas of Nepal
An Analysis of Machining Forces On Graphite/Epoxy, Glass/Epoxy and Kevlar/Epoxy Composites Using a Neural Network Approach
Deformation Behaviour of Fe-0.8%C-1.0%Si-0.8%Cu Sintered P/M Steel during Powder Preform Forging
A Series of Tool-Life Studies on Aluminium Matrix Hybrid Composites
Achieving Manufacturing Excelence by Applying LSSF Model – A Lean Six Sigma Framework
Design and Analysis of Piezo- Driven Valve-Less Micropump
Permeability simply implies the capability of the soil to allow the flow of water through pores of the soil. Permeability depends on a multitude of factors which include void ratio, size of particles, shape of particles, water content and degree of compaction. When the flow is normal to the bedding plane, permeability parameters show significant variations and complications owing to the mutual interaction among different soil layers and their relative position in the deposit. Through this investigation, the permeability characteristics of layered soil deposit when the flow is perpendicular to the bedding plane, also factors and associated mechanisms controlling such flows has been analyzed. In this study, three distinct samples were collected from three locations in Srinagar city and the respective soils includes sand, clay, and silt. The coefficient of permeability (k) for each soil has been determined and also the coefficient of permeability is calculated experimentally by varying the arrangement and proportion of above-mentioned soil layers. After the determination of the coefficient of permeability in all arrangements, it has been found that the experimental permeability was considerably lesser than theoretical permeability. It has been observed that if the bottom layer has less permeability than the top layer, the equivalent permeability of the deposit have been found to be more when compared to the isolated permeability of the bottom layer. Also, if the bottom layer is more pervious than the top layer the permeability of deposit is less as compared to the individual permeability of the bottom layer. Considering the previous work in this area, results obtained in this investigation were quite consistent and had a fair degree of accuracy.
Removal of lead metal ion from wastewater using mixed adsorbent (ragi husk powder and borasus flabellifer coir powder) has been carried out in a batch fashion. Various parameters viz., agitation time (0-120 minute), adsorbent dosage (0.05-1.2 g), adsorbent size (100 μm), pH (3-10), concentration (20-100 mg/L) have been studied. The agitation time at equilibrium has been obtained at 50 minute. The maximum removal of lead metal ion in terms of percentage from wastewater has been obtained at pH of 8. It follows second order adsorption kinetics model and also Langmuir and Freundlich isotherm models. The maximum lead metal uptake was 90.91 mg/g at 303 K. The absorbent presently used is available naturally and abundantly in our environment and also biosorption is one of the low cost processes for the removal of lead metal ion from wastewater using mixed adsorbent.
One third of heat energy generated by the automotive internal combustion engine is wasted in the exhaust system. In the total heat energy supplied to the engine in the form of combustible fuel, approximately 35% to 40% is converted into productive mechanical work and the remaining energy in the form of heat is expelled as the exhaust gas resulting in the rise of entropy and serious environmental pollution. There is a demand to utilize this waste heat from the vehicle into useful work output and thus the wasted heat can be used to run the absorption refrigeration system. The engine exhaust system is connected to the generator of the refrigeration system to supply the input heat required for the refrigeration process. Generator temperature plays a very important role in determining the performance of a vapour absorption system. In a vapour absorption system the source of energy input is heat. In this work, the heat source is taken from exhaust pipe of a 4 stroke engine. Based on this heat supplied the effect on performance of the system has been found with variation in generator temperature for a month and graph has been plotted. Based on the values obtained, suggestions and output of the work is demonstrated.
Concrete is the significant material used in various types of construction, from the flooring of a building to multi-storied high rise structures and pavements. It is necessary to consider the sustainability, availability and the choice of material which impacts the performance and strength of concrete. The main aim of the present study is to determine the compressive strength of different concrete mixes of M40 grade for 7days and 28 days, with replacement of river sand (CRS) and with M-Sand (CMS) of different graded coarse aggregate. A comparative study is made between compressive strength of CRS and CMS mixes. From the results, it is observed that compressive strength of two mixes of CMS has shown good results to a fair degree of accuracy.
Smart cities are urban developments which make use of a variety of Internet of Things (IoT) sensors and Information and Communication Technologies (ICTs) for the collection of data, analysis of that data and finally utilize the findings in the strategic management of assets of the city. Traditionally street lighting systems were used for provision of lighting to communities and on roadways especially for visibility purposes. In recent times street lights have gained new uses which have made it possible for the emergence of smart cities in Caribbean nations. This paper presents a concise review of fifteen (15) intelligent street lighting systems which can provide valuable insights for the upgrading of current cities and boroughs of Caribbean countries into smart cities. At the end of the paper major considerations for the use of street lights in the development of smart cities are discussed.
