The Evaluation of Gross Heat Release in Internal Combustion Engines by Means of Genetic Algorithms

Abstract Currently, internal combustion engines face the challenge of reducing fuel consumption and reducing polluting emissions due to their significant impact on the environment. Therefore, it is necessary to use tools that allow us to evaluate the operating characteristics of this type of thermal machines. In the present investigation, the development of a virtual bench was proposed for the analysis of the behavior and performance characteristics of an internal combustion engine for use as a learning tool in higher education students. From the results obtained, it could be demonstrated that the pressure curves of the combustion chamber and the rate of heat release obtained by means of the virtual bench presented a high concordance with the experimental records. The maximum deviation obtained was 5% and 15% for the pressure curve and the heat release rate. Comparing the performance parameters of the brake specific fuel consumption of the engine and energy efficiency, a maximum deviation of 2.96% was shown compared to the real engine. In general, the virtual development bank can describe the behavior of the engine, allowing the characterization of physical phenomena, as well as evaluating the effect of auxiliary technologies such as turbo-compression systems.

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Heat Release Calculation of Internal Combustion Engines by Analyzing the Flame Radiation with Crankshaft Angle Resolution

SAE International Journal of Engines ◽

10.4271/2017-01-0787 ◽

2017 ◽

Vol 10 (4) ◽

pp. 1524-1537

Author(s):

Benedikt Von Imhoff ◽

Markus Mühlthaler ◽

Georg Wachtmeister

Keyword(s):

Heat Release ◽

Internal Combustion Engines ◽

Internal Combustion ◽

Combustion Engines ◽

Flame Radiation ◽

Crankshaft Angle

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Development of a Genetic Algorithm Based Search Strategy Suited For Design Optimisation of Internal Combustion Engines

Tanzania Journal of Engineering and Technology ◽

10.52339/tjet.v31i1.424 ◽

2008 ◽

Vol 31 (1) ◽

pp. 127-138

Author(s):

N.G Nalitolela ◽

H. Kadete

Keyword(s):

Genetic Algorithm ◽

Genetic Algorithms ◽

Internal Combustion Engines ◽

Design Space ◽

Parametric Design ◽

Random Search ◽

Internal Combustion ◽

Combustion Engines ◽

Design Optimisation ◽

Adaptive Random Search

Engine design optimisation is a multi-objective, multi-domain problem in a discontinuous design space. The state of the art of optimisation techniques shows that only methods of direct and adaptive search are appropriate for this type of problem. These include, adaptive random search, simulated annealing, evolution strategies and genetic algorithms. Ofthese methods, the genetic algorithms have been shown to be the most suited for the optimisation of multi-modal response functions in a discontinuous design space. This paper considers the important characteristics of genetic algorithms and their adaptation for use in parametric design optimisation of internal combustion engines. In order to verify the basicfunctionality of the proposed optimisation strategy, a genetic algorithm based, optimisation software was developed and tested on a number of analytical functions, selected from optimisation literature, with satisfactory results.

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