Numerical simulation on the ignition and combustion of transient sprays.

Takagi, Toshimi; Fang, Ching Ying; Kamimoto, Takeyuki; Okamoto, Tatsuyuki

doi:10.1299/kikaib.56.3535

Cited by 2 publications

(2 citation statements)

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“…Ignition was achieved by Livengood integration (Livengood and Wu 1955). In the combustion model, the overall reaction formula (Takagi et al 1994) associated with the equivalence ratio was used for gas composition calculations. The NO x model (Eyzat and Guibet 1968), dealing with thermal-NO, and the soot model, dealing with both formation and oxidation (Nagle and Strickland-Constable 1962), were also included.…”

Section: Design Resultsmentioning

confidence: 99%

Application of hybrid evolutionary algorithms to low exhaust emission diesel engine design

Jeong

Obayashi

Minemura

2008

Engineering Optimization

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A hybrid evolutionary algorithm, consisting of a genetic algorithm (GA) and particle swarm optimization (PSO), is proposed. Generally, GAs maintain diverse solutions of good quality in multi-objective problems, while PSO shows fast convergence to the optimum solution. By coupling these algorithms, GA will compensate for the low diversity of PSO, while PSO will compensate for the high computational costs of GA. The hybrid algorithm was validated using standard test functions. The results showed that the hybrid algorithm has better performance than either a pure GA or pure PSO. The method was applied to an engineering design problem-the geometry of diesel engine combustion chamber reducing exhaust emissions such as NO x , soot and CO was optimized. The results demonstrated the usefulness of the present method to this engineering design problem. To identify the relation between exhaust emissions and combustion chamber geometry, data mining was performed with a self-organising map (SOM). The results indicate that the volume near the lower central part of the combustion chamber has a large effect on exhaust emissions and the optimum chamber geometry will vary depending on fuel injection angle.

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Section: Design Resultsmentioning

confidence: 99%

Application of hybrid evolutionary algorithms to low exhaust emission diesel engine design

Jeong

Obayashi

Minemura

2008

Engineering Optimization

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“…Ignition is achieved by Livengood integration (13) . In the combustion model, overall-reaction formula (14) associated with the equivalence ratio is used for gas composition calculation. The NOx model (15) dealing with thermal-NO and soot model (16) dealing with both formation and oxidation are also included.…”

Section: Definition Of Design Problem and Evaluationmentioning

confidence: 99%

Optimization of Combustion Chamber for Diesel Engine Using Kriging Model

Jeong

Minemura

Obayashi

2006

JFST

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Diesel engine combustion chamber which reduces exhaust emission has been designed using CFD analysis and optimization techniques. In order to save computational time for design, the Kriging model, one of the response surface models, is adopted here. For a robust exploration, both the estimated function value of the model and its uncertainty are considered at the same time. In the present problem, the k-means method is used to limit the number of additional sample points to a reasonable level. Among the additional sample points, two combustion chamber shapes dominate the baseline configuration in terms of all objective functions. Compared with the previous optimization with the evolutionary algorithm, its computational time for design was cut by 95%. The results indicate that the present method is a practical approach for real-world applications.

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Numerical simulation on the ignition and combustion of transient sprays.

Cited by 2 publications

References 0 publications

Application of hybrid evolutionary algorithms to low exhaust emission diesel engine design

Application of hybrid evolutionary algorithms to low exhaust emission diesel engine design

Optimization of Combustion Chamber for Diesel Engine Using Kriging Model

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