Performance Evaluation of Diesel Engine using Genetic Algorithm
Agil Lukose1, AVN Krishna2
1Agil Lukose, M.Tech, 4 Sem. Student, Department of Information Technology, Faculty of Engineering, Christ University (Deemed), Bengaluru (Karnataka), India.
2Dr. AVN Krishna, Professor, Department of Computer Science and Engineering, Faculty of Engineering, Christ University (Deemed), Bengaluru (Karnataka), India.
Manuscript received on 18 December 2018 | Revised Manuscript received on 27 December 2018 | Manuscript published on 30 December 2018 | PP: 155-158 | Volume-8 Issue-2, December 2018 | Retrieval Number: B5595128218/18©BEIESP
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
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.
Keywords: Diesel Engine, Exhaust Gas, Genetic Algorithm,. Performance Evaluation
Scope of the Article: Petroleum and Mineral Resources Engineering