Investigation on suitable swirl ratio and spray angle of a large-bore marine diesel engine using genetic algorithm

Lu, Tianlong; Lu, Zhen; Gao, Yuchuan; Shi, Lei; Wang, Huaiyin; Wang, Tianyou

doi:10.1016/j.fuel.2023.128187

Cited by 7 publications

(2 citation statements)

References 34 publications

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“…A genetic algorithm is a computational model of biological evolutionary processes that simulate the natural selection and genetics mechanism of Darwinian biological evolution, and it is a method to search for optimal solutions by simulating natural evolutionary processes [45,46]. Its main characteristic is to operate on the structure object directly and there is no limitation of derivative and function continuity; it has inherent implicit parallelism and better global optimization ability.…”

Section: Parameter Optimization Methodsmentioning

confidence: 99%

Study on Multi-Objective Optimization of Power System Parameters of Battery Electric Vehicles

Cao

Jiang

et al. 2023

Sustainability

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The optimization of power parameters is the key to the design of pure electric vehicles. Reasonable matching of the relationship between various parameters can effectively reduce energy consumption and achieve energy sustainability. In this paper, several vehicle performance indexes such as maximum vehicle speed, acceleration time and power consumption per 100 km were used as optimization target vectors, and transmission ratio was used as optimization variable to establish the optimization problem of parameter matching. Then, the feasible domain of the transmission ratio was obtained by taking the lowest performance index of the vehicle as the constraint condition. In the feasible domain, the multi-objective genetic algorithm is used to solve the optimization problem. The Pareto optimal solution set is obtained for fixed ratio transmission and two-gear transmission, which is used as an alternative solution set. The final parameter-matching scheme is determined by comparing the alternative scheme set of different motors comprehensively. The results show that the competition relationship between multiple optimizable indexes can be described effectively by solving the Pareto front. Specifically, the Pareto optimal solution set for the motor A + fixed transmission scheme is 1.33~1.85; the Pareto optimal solution set for the motor A + 2 transmission scheme is [1.72, 0.98]~[2.99, 1.57], and the Pareto optimal solution set for the motor B + 2 transmission scheme is [2.99, 1.40]~[2.99, 1.57]. The motor A + fixed transmission scheme does not require A clutch and does not require designing a shift algorithm. Therefore, after comprehensive consideration, the motor A + fixed transmission ratio transmission scheme is set as the final scheme.

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Section: Parameter Optimization Methodsmentioning

confidence: 99%

Study on Multi-Objective Optimization of Power System Parameters of Battery Electric Vehicles

Cao

Jiang

et al. 2023

Sustainability

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“…The experimental results showed that the fuel is distributed more randomly under low swirl flow while it is mainly concentrated on the left side of the combustion chamber under high swirl conditions. Lu et al 35 used an artificial neural network (ANN) combined with a genetic algorithm (GA) to explore the appropriate swirl ratio and the corresponding spray angle for a large-diameter marine diesel engine. The thermal efficiency and output power of the best case are improved by 4.86% and 5.2%, respectively.…”

Section: Introductionmentioning

confidence: 99%

Effects of piston shapes and swirl ratios on combustion and emissions of a micro diesel pilot-ignition natural gas engine

Zhou

et al. 2023

Sustainable Energy Fuels

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Toward zero carbon emissions: High thermal efficiency low speed two-stroke marine engine using pure ammonia fuel

Lu,

Ye,

et al. 2024

Applied Thermal Engineering

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Investigation on suitable swirl ratio and spray angle of a large-bore marine diesel engine using genetic algorithm

Cited by 7 publications

References 34 publications

Study on Multi-Objective Optimization of Power System Parameters of Battery Electric Vehicles

Study on Multi-Objective Optimization of Power System Parameters of Battery Electric Vehicles

Effects of piston shapes and swirl ratios on combustion and emissions of a micro diesel pilot-ignition natural gas engine

Toward zero carbon emissions: High thermal efficiency low speed two-stroke marine engine using pure ammonia fuel

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