Performance evaluation of diesel engine using genetic algorithm

Title

Performance evaluation of diesel engine using genetic algorithm

Creator

Lukose A.; Krishna A.V.N.

Description

?Abstract: Engine analysis and optimization is not a new approach to the field of automobiles. It has always been a keen focus in the research of experts domestically as well as internationally, the control of Air-Fuel Ratio (AFR) in transient operating conditions of engine. For the last few decades, the industry and economic expansion of developed countries has showed a clean increase in the vehicle production as well as transport volume. Global warming, acid rain, greenhouse effect and air pollution problems related to emission of CO2, NOx, PM, CO and unburned HC, together with the consumption of fossil fuels, unite to create serious problems at a global level. Therefore it is a research study considering all these current issues and taking it to a new level of optimization for the output of a better efficiency, better economy and less pollution. Performance of Diesel Engine is evaluated by parameters like Power, Torque and Specific Fuel Consumption. 2018, Blue Eyes Intelligence Engineering and Sciences Publication. All rights reserved.

Source

International Journal of Engineering and Advanced Technology, Vol-8, No. 2, pp. 155-158.

Date

2018-01-01

Publisher

Blue Eyes Intelligence Engineering and Sciences Publication

Subject

Diesel engine; Exhaust gas; Genetic algorithm; Performance evaluation

Coverage

Lukose A., Department of Information Technology, Faculty of Engineering, Christ University (Deemed), Bengaluru, Karnataka, India; Krishna A.V.N., Department of Computer Science and Engineering, Faculty of Engineering, Christ University (Deemed), Bengaluru, Karnataka, India

Rights

Restricted Access

Relation

ISSN: 22498958

Format

Online

Language

English

Type

Article

Identifier

https://www.scopus.com/inward/record.uri?eid=2-s2.0-85062004855&partnerID=40&md5=2d8f2800710b43b6ed6a1f9daf1c8c4f