University Links: Home Page | Site Map
Covenant University Repository

Determination of a spark ignition engine's performance parameters using response surface methodology

Onawumi, A.S. and Fayomi, O. S. I and Okolie, T. A. Sociis and Adio, Timilehin and Udoye, Nduka Ekene and Samuel, A.U. (2018) Determination of a spark ignition engine's performance parameters using response surface methodology. In: Technologies and Materials for Renewable Energy, Environment and Sustainability., 19–21 September 2018, Athens, Greece.

[img] PDF
Download (895Kb)

Abstract

combustion engines are concerned, emission is the important parameters for which the other design and operating parameters have to be optimized. This paper studies the use of RSM (Response Surface Methodology) to optimize the performance parameters of a 4-stroke spark ignition engine. In this work, a description of the facilities developed for conducting experimental work on the test engine experiment was conducted. Theoretical evaluation, experimental evaluation, prediction of performance parameters using RSM and statistical evaluation of SI engine were performed. The study also explained how to build an analytical model for the complicated problem. The development of the incombustible gases concentration (part per million-ppm) as a function of engine speed (rpm), loading condition (%) and operating time (seconds) was done via 23 factorial designs of the experiment (DoE )and RSM. The results obtained from HC, CO and NOx emission models showed that the engine speed, loading condition and time were found to have significant influence on the emission. The HC, CO and NOx emission models have also proved positive response from the regression analysis of actual and predicted responses. In the error estimation with 95% confidence interval the equations are within the ranges. Thus, the response surface methodology provides useful information

Item Type: Conference or Workshop Item (Paper)
Subjects: T Technology > T Technology (General)
T Technology > TJ Mechanical engineering and machinery
Divisions: Faculty of Engineering, Science and Mathematics > School of Engineering Sciences
Depositing User: Mrs Hannah Akinwumi
Date Deposited: 01 Jul 2019 11:13
Last Modified: 01 Jul 2019 11:13
URI: http://eprints.covenantuniversity.edu.ng/id/eprint/12782

Actions (login required)

View Item View Item