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基于多岛遗传算法的大型疏浚抓斗机构优化设计 被引量:1

Mechanism Optimization of Large Dredging Grab Based on Multi-Island Genetic Algorithms
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摘要 根据大型疏浚抓斗的作业特点,对设备结构进行简化,获得抓斗挖料力学模型。提出了用于描述抓斗挖掘性能的推重比,以此为优化目标,提取出影响抓斗推重比的7个关键参数,建立了抓斗机构的数学优化模型。基于多岛遗传算法在全局范围内寻优,实现了对抓斗机构的优化。优化后抓斗性能得到明显改善:推重比由原方案中的4.972降低为3.470,最大单缸推力减少了27.8%,挖料量增加了3.4%。 According to the operating characteristics of large - scale dredging grab, a structural predigestion of the device was performed, and a mechanical model of the grab was obtained. A new conception, named thrust - weight ratio, was proposed to describe the performance of grab. Based on the optimization target of minimizing the thrust - weight ratio, 7 critical parameters were extracted, and a mathematical model of the grab mechanism was established. Using the multi - island genetic algorithms (MIGA) to find the best solution in the global scope. And the solution optimized brings a great improvement to the grab performance: the thrust - weight ratio decreased to 3. 470 from 4. 972, and the largest thrust of a single hydraulic cylinder declined 27.8% , however, digging capacity grew 3.4%.
出处 《港口装卸》 2016年第2期5-8,共4页 Port Operation
关键词 疏浚抓斗 推重比 优化模型 多岛遗传算法 dredging grab, thrust - weight ratio, optimization model, MIGA
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