Combining real accelerating genetic algorithm(RAGA) with the optimization design of multi-hole and varied diameter pipe, the authors solved the problem of optimizing multi-dimensional parameters at the same time. In w...Combining real accelerating genetic algorithm(RAGA) with the optimization design of multi-hole and varied diameter pipe, the authors solved the problem of optimizing multi-dimensional parameters at the same time. In which the advanced convergence and easily to run into partial optimization were avoid. Applied the RAGA to solving the problem in the optimization design of fixed piping sprinkler irrigation system. The optimized parameters, such as diameters and the length of pipe were calculated and the result was reasonable, which provides as a reference to readers who work at related research.展开更多
为减少联合收获机振动对谷物流量传感器监测结果的干扰,设计了一种基于声学黑洞(ABH,acoustic black hole)原理的谷物流量传感器龙门支架减振结构,通过有限元方法分析减振结构的振动特性,分析了二维声学黑洞比例系数ε、幂函数指数m和半...为减少联合收获机振动对谷物流量传感器监测结果的干扰,设计了一种基于声学黑洞(ABH,acoustic black hole)原理的谷物流量传感器龙门支架减振结构,通过有限元方法分析减振结构的振动特性,分析了二维声学黑洞比例系数ε、幂函数指数m和半径R对其减振性能的影响规律。结果表明,声学黑洞能够显著降低龙门支架的振动,ε、m和R对声学黑洞减振性能的影响均未表现出明显线性关系,当ε=0.001 2、m=2.5、R=15 mm时声学黑洞的减振效果最好。以振动速度平方和作为优化目标,建立了多项式回归代理模型,通过遗传算法对声学黑洞比例系数ε、幂函数指数m和半径R的取值进行了优化。相比于未添加声学黑洞的原始龙门支架和初始声学黑洞方案,优化后龙门支架的振动速度平方和分别降低68.92%和2%,表明优化方案具有更佳的减振性能。提出的基于声学黑洞的减振结构和优化设计方法为农业机械被动宽频减振研究提供了理论参考。展开更多
文摘Combining real accelerating genetic algorithm(RAGA) with the optimization design of multi-hole and varied diameter pipe, the authors solved the problem of optimizing multi-dimensional parameters at the same time. In which the advanced convergence and easily to run into partial optimization were avoid. Applied the RAGA to solving the problem in the optimization design of fixed piping sprinkler irrigation system. The optimized parameters, such as diameters and the length of pipe were calculated and the result was reasonable, which provides as a reference to readers who work at related research.
文摘为减少联合收获机振动对谷物流量传感器监测结果的干扰,设计了一种基于声学黑洞(ABH,acoustic black hole)原理的谷物流量传感器龙门支架减振结构,通过有限元方法分析减振结构的振动特性,分析了二维声学黑洞比例系数ε、幂函数指数m和半径R对其减振性能的影响规律。结果表明,声学黑洞能够显著降低龙门支架的振动,ε、m和R对声学黑洞减振性能的影响均未表现出明显线性关系,当ε=0.001 2、m=2.5、R=15 mm时声学黑洞的减振效果最好。以振动速度平方和作为优化目标,建立了多项式回归代理模型,通过遗传算法对声学黑洞比例系数ε、幂函数指数m和半径R的取值进行了优化。相比于未添加声学黑洞的原始龙门支架和初始声学黑洞方案,优化后龙门支架的振动速度平方和分别降低68.92%和2%,表明优化方案具有更佳的减振性能。提出的基于声学黑洞的减振结构和优化设计方法为农业机械被动宽频减振研究提供了理论参考。
