Modern diesel engines are charged with the difficult problem of balancing emissions and efficiency. For this work, a variant of the artificial bee colony (ABC) algorithm was applied for the first time to the experimental optimization of diesel engine combustion and emissions. In this study, the employed and onlooker bee phases were modified to balance both the exploration and exploitation of the algorithm. The improved algorithm was successfully trialed against particle swarm optimization (PSO), genetic algorithm (GA), and a recently proposed PSO-GA hybrid with three standard benchmark functions. For the engine experiments, six variables were changed throughout the optimization process, including exhaust gas recirculation (EGR) rate, intake temperature, quantity and timing of pilot fuel injections, main injection timing, and fuel pressure. Low sulfur diesel fuel was used for all the tests. In total, 65 engine runs were completed in order to reduce a five-dimensional objective function. In order to reduce nitrogen oxide (NOx) emissions while keeping particulate matter (PM) below 0.09 g/kW h, solutions call for 43% exhaust gas recirculation, with a late main fuel injection near top-dead center. Results show that early pilot injections can be used with high exhaust gas recirculation to improve the combustion process without a large nitrogen oxide penalty when main injection is timed near top-dead center. The emission reductions in this work show the improved ABC algorithm presented here to be an effective new tool in engine optimization.
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November 2017
Research-Article
Application of Improved Artificial Bee Colony Algorithm to the Parameter Optimization of a Diesel Engine With Pilot Fuel Injections
Qiang Zhang,
Qiang Zhang
School of Energy and Power Engineering,
Jiangsu University of Science and Technology,
2 Mengxi Road,
Zhenjiang 212003, China
e-mail: zhangqiangjust@163.com
Jiangsu University of Science and Technology,
2 Mengxi Road,
Zhenjiang 212003, China
e-mail: zhangqiangjust@163.com
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Ryan M. Ogren,
Ryan M. Ogren
Department of Mechanical Engineering,
Iowa State University,
2529 Union Drive,
Ames, IA 50011
e-mail: rmogren@iastate.edu
Iowa State University,
2529 Union Drive,
Ames, IA 50011
e-mail: rmogren@iastate.edu
Search for other works by this author on:
Song-Charng Kong
Song-Charng Kong
Department of Mechanical Engineering,
Iowa State University,
2529 Union Drive,
Ames, IA 50011
e-mail: kong@iastate.edu
Iowa State University,
2529 Union Drive,
Ames, IA 50011
e-mail: kong@iastate.edu
Search for other works by this author on:
Qiang Zhang
School of Energy and Power Engineering,
Jiangsu University of Science and Technology,
2 Mengxi Road,
Zhenjiang 212003, China
e-mail: zhangqiangjust@163.com
Jiangsu University of Science and Technology,
2 Mengxi Road,
Zhenjiang 212003, China
e-mail: zhangqiangjust@163.com
Ryan M. Ogren
Department of Mechanical Engineering,
Iowa State University,
2529 Union Drive,
Ames, IA 50011
e-mail: rmogren@iastate.edu
Iowa State University,
2529 Union Drive,
Ames, IA 50011
e-mail: rmogren@iastate.edu
Song-Charng Kong
Department of Mechanical Engineering,
Iowa State University,
2529 Union Drive,
Ames, IA 50011
e-mail: kong@iastate.edu
Iowa State University,
2529 Union Drive,
Ames, IA 50011
e-mail: kong@iastate.edu
1Corresponding author.
Contributed by the IC Engine Division of ASME for publication in the JOURNAL OF ENGINEERING FOR GAS TURBINES AND POWER. Manuscript received August 25, 2016; final manuscript received May 5, 2017; published online June 6, 2017. Assoc. Editor: Stani Bohac.
J. Eng. Gas Turbines Power. Nov 2017, 139(11): 112801 (9 pages)
Published Online: June 6, 2017
Article history
Received:
August 25, 2016
Revised:
May 5, 2017
Citation
Zhang, Q., Ogren, R. M., and Kong, S. (June 6, 2017). "Application of Improved Artificial Bee Colony Algorithm to the Parameter Optimization of a Diesel Engine With Pilot Fuel Injections." ASME. J. Eng. Gas Turbines Power. November 2017; 139(11): 112801. https://doi.org/10.1115/1.4036766
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