Effects of Compression Ratio on Performance combustion and emission of a Single Cylinder 4- Stroke Compression Ignition Engine using Blends of Neat Karanja Oil with Diesel
Journal Title: International Journal for Research in Applied Science and Engineering Technology (IJRASET) - Year 2015, Vol 3, Issue 2
Abstract
Compression ignition engines play the major role for the development of any country. Fossil fuel layer depletion and emissions of compression ignition engine are two challenges for the world now days. To overcome the challenges it is necessary to replace conventional fuel by alternative fuels. Now a day’s bio fuels become popular as an alternative fuel for compression ignition engines. It can be used in compression ignition engine with many difficulties. In India million tonnes non edible seeds like Karanja seeds are going in waste. . This study is performed to find the effect of compression ratio on performance parameters such as brake specific fuel consumption, brake thermal efficiency, mechanical efficiency in a single cylinder four stroke VCR engine fuelled with diesel and its blends with neat Karanja oil on volume basis (10%, 20%) and compared the results with diesel. Experiments have been conducted at compression ratios of 16:1, 17:1, 18:1. At higher compression ratio minimum value of brake specific fuel consumption (BSFC) was recorded as being 0.33Kg/kWh for 10% blend of Karana oil (K10). Maximum value of brake thermal efficiency was found to be 26.63% for K10. At higher compression ratio mechanical efficiency of diesel was higher than10% blend of Karanja oil.
Authors and Affiliations
P. P. Patnaik, S. K. Acharya, S. N. Behera
A Distributed Generation Based Inverters for Optimal Decentralized Voltage Control in Distribution Systems using Fuzzy Logic Controller
In recent times, the penetration of Distributed Generation (DG) has been increasing rapidly. This growth of distributed electricity supply of renewable energy sources (RES) so called distributed generation (DG) can caus...
A Framework To Integrate Feature Selection Algorithm For Classification Of High Dimensional Data
The explosive usage of social media produces huge quality of unlabeled and high-dimensional data. The data characteristic with this choice has been tested to be powerful in handling excessive-dimensional facts for effec...
Comparison of Performance in Text Mining Using Text Categorization of Semi Structured Data
Text mining or knowledge discovery is that sub process of data mining, which is widely being used to discover hidden patterns and significant information from the huge amount of unstructured data. The enormous amount of...
Multi-Area Economic Dispatch with Valve Point Effect Using Improved Bat Algorithm
This paper presents application of Improved Bat algorithm for solving Multi-area economic load dispatch problem (MAED) considering tie line constraint and valve point loading effect. Improved bat algorithm is an optimiz...
Boiler Tank Level Control Using Fuzzy Logic
In control systems there are a number of generic systems and methods which are encountered in all areas of industry and technology. From the dozens of ways to control any system, it turns out that fuzzy is often the ver...