首页|遗传算子-蚁群优化在柴油机曲轴振动中的应用

遗传算子-蚁群优化在柴油机曲轴振动中的应用

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针对船用柴油机振动大,噪声高的特点,考虑柴油机往复运动和旋转分量引起的不平衡力等多个影响因素,建立了柴油机缸体内部活塞二次运动的动力学模型,采用Runge-Kutta(RK)方法对目标函数进行求解,计算内燃机的惯性和活塞拍击在发动机悬置处产生的冲击力和发动机缸体表面的振动位移.以优化曲轴轴系振动幅值为目标,采用蚁群算法,引入遗传算法中的交叉、变异等遗传算子,提出全局搜索与局部搜索相耦合的方法策略.研究结果表明,柴油机曲轴轴系振动在交叉概率0.6和变异概率0.05处产生了最小的收敛;通过和数学模型进行对比分析,进一步验证了该变异蚁群算法的准确性.
Application of Genetic Operator-Ant Colony Optimization in Diesel Engine Crankshaft Vibration
In view of the big vibration and large noise of the marine diesel engine,and the influencing factors of unbalanced force caused by diesel reciprocating motion and rotational component,it established the dynamics model of piston secondary motion within the diesel engine cylinder block,and Runge-Kutta(RK)method was used to solve the objective function,to calculate the inertia of internal combustion engine and the impact of piston slap on the engine suspension and the vibration displacement on the engine cylinder block surface.Based on the improved ant colony algorithm,aiming at optimizing vibration amplitude of crank-shaft,the paper,proposed global and local search coupling strategy.The results show that the minimum convergence occurs at the crossing probability of 0.6 and the mutation probability of 0.05.The accuracy of the improved ant colony algorithm is further verified by comparing with the mathematical model.

Diesel EngineCrankshaftVibrationAnt Colony OptimizationConvergence

徐燕铭、滕宪斌、杨期江、王皓

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天津海运职业学院,天津 300350

广州航海学院,广东 广州 510725

柴油机 曲轴 振动 蚁群优化 收敛

广东省自然科学基金项目广州市科技计划项目天津市津南区科技计划项目

2018A03031001720190401013320210109

2024

机械设计与制造
辽宁省机械研究院

机械设计与制造

CSTPCD北大核心
影响因子:0.511
ISSN:1001-3997
年,卷(期):2024.(3)
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