The Optimization of Intake Port using Genetic Algorithm and Artificial Neural Network for Gasoline Engines

Sun, Yanzhe; Wang, Tianyou; Lu, Zhen; Cui, Lei; Jia, Ming

doi:10.4271/2015-01-1353

Cited by 8 publications

(14 citation statements)

References 35 publications

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“…The combustion system optimization was performed using a genetic algorithm approach, which operates following the principles of evolution, where citizens in a population evolve over subsequent generations -with successful characteristics passing on genetically to children. This method has been demonstrated to be suitable for finding the global optimum solutions of complex multivariable problems related to engine optimization, such as combustion chamber [54] or intake port design [31].…”

Section: Ga Optimization Strategymentioning

confidence: 99%

“…For instance, Senecal and Reitz [30] optimized the combustion chamber design of a CI diesel engine with six design parameters considering emissions and performance. Sun and Wang [31] combined GA and artificial neural network for optimizing the intake port design of a spark-ignited (SI) engine with four control parameters. However, till date, combustion noise control has not been employed as a criterion in engine design optimization studies.…”

mentioning

confidence: 99%

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Numerical Methodology for Optimization of Compression-Ignited Engines Considering Combustion Noise Control

Broatch¹,

Novella²,

Gómez-Soriano³

et al. 2018

SAE Int. J. Engines

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Section: Ga Optimization Strategymentioning

confidence: 99%

mentioning

confidence: 99%

Numerical Methodology for Optimization of Compression-Ignited Engines Considering Combustion Noise Control

Broatch¹,

Novella²,

Gómez-Soriano³

et al. 2018

SAE Int. J. Engines

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“…For instance, Senecal & Reitz [157] optimized the combustion chamber design of a CI Diesel engine with six design parameters considering emissions and performance. Sun & Wang [212] combined GA and artificial neural networks for optimizing the intake port design of a spark-ignited engine with four control parameters. However, till date, combustion noise control has not been employed as a criterion in engine design optimization studies.…”

Section: Design Optimization Strategiesmentioning

confidence: 99%

“…The combustion system optimization was performed using a genetic algorithm approach, which operates following the principles of evolution, where citizens in a population evolve over subsequent generations -with successful characteristics passing on genetically to children. This method has been demonstrated to be suitable for finding the global optimum solutions of complex multi-variable problems related to engine optimization, such as combustion chamber [102,213] or intake port design [212].…”

Section: Genetic Algorithm Optimization Strategymentioning

confidence: 99%

Computational assessment of combustion noise of automotive compression-ignited engines

Soriano¹

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derstanding the unsteady pressure field inside combustion chambers of compression ignition engines using a CFD approach". International J of Engine Research (available on-line), 2018. I would like to record my sincere gratitude to my advisor Prof. Alberto Broatch for his guidance and support during the chase of this research. A gratitude that also must be extended to Prof. Payri and Prof. Desantes on behalf of CMT-Motores Térmicos and Universitat Politècnica de València for offering me the chance to become part of this research group during these four years. I owe my most special thanks to Prof. Ricardo Novella for his advice and invaluable help in the most difficult moments but especially for the good ones we shared during the fruitless lunchtime discussions, sports sessions... I just can say, moltes gràcies per tot Rick.

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“…In-cylinder swirl motion at IVC is generated from the entering flow during the intake stroke, which mainly depends on the geometry of the intake port. 7,[25][26][27] To understand the mean swirl field at IVC, we compared the measured flow at three swirl planes, that is, 20, 40, Table 2. Engine operating conditions.…”

Section: Evaluation Of Swirl Field At Ivcmentioning

confidence: 99%

Prediction of the in-piston-bowl swirl ratio of diesel engines

Sun

Wang

Wen

et al. 2018

Proceedings of the Institution of Mechanical Engineers, Part D:

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Steady flow tests are widely used to evaluate the performance of intake ports in generating swirl flow in diesel engines. Such test data, however, may deviate largely from the real in-piston-bowl swirl ratio due to the complex unsteady air motion in the compression stroke. In this study, a new method is proposed to predict the unsteady in-piston-bowl swirl ratio of diesel engines from steady flow test data by focusing on three key steps, including the swirl field at intake valve close timing, swirl enhancement due to squish flow, and swirl decay during the compression stroke. Experimental results on an optically accessible diesel engine under non-firing conditions show that, at intake valve close, the relationship between the swirl ratio and the vertical location was approximately linear and the mean swirl ratio could be fitted by a Bessel function; the correlation between the swirl decay coefficient and surface-to-volume ratio was built by fitting the experiment data. Furthermore, the in-piston-bowl swirl ratio during the compression stroke could then be derived according to the conservation of angular momentum.

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The Optimization of Intake Port using Genetic Algorithm and Artificial Neural Network for Gasoline Engines

Cited by 8 publications

References 35 publications

Numerical Methodology for Optimization of Compression-Ignited Engines Considering Combustion Noise Control

Numerical Methodology for Optimization of Compression-Ignited Engines Considering Combustion Noise Control

Computational assessment of combustion noise of automotive compression-ignited engines

Prediction of the in-piston-bowl swirl ratio of diesel engines

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