Experimental and Neural Network Based Investigation on Externally Scavenged S.I.Engine
Author(s):
M AYAZ AFSAR, ashish mahalle
Keywords:
Artificial Neural Network ,Brake power, Externally scavenged engine,Emission Analysis
Abstract
The present research describes experimental investigation and ANN simulation of two-stroke externally scavenged engine.The two stroke engine is relatively small and has higher Power to weight ratio, simplicity of operation and less cost. However these engines have high exhaust emission and low brake thermal efficiency due to short circuiting losses and incomplete combustion.To eliminate short circuiting losses,externally scavenged engine is developed in I.C.Engine laboratory.In this study, effects of externally scavenged system on performance and emissions of two stroke engine is investigated at different loads and speeds with ANN simulation.Performance of externally scavenged engine is compared with crank-cased scavenged engine.Result show that brake power and brake thermal effeciency of externally scavenged engine is improved due to supply of leaner air-fuel mixture to the engine.Simulation of engine shows the authenticity of the investigation carried out experimentally.
Article Details
Unique Paper ID: 147143

Publication Volume & Issue: Volume 5, Issue 5

Page(s): 7 - 10
Article Preview & Download




Go To Issue



Call For Paper

Volume 5 Issue 7

Last Date 25 December 2018


About Us

IJIRT.org enables door in research by providing high quality research articles in open access market.

Send us any query related to your research on editor@ijirt.org

Social Media

Contact Details

Telephone:704 821 9842/43
Email: editor@ijirt.org
Website: ijirt.org

Policies