期刊文献+

四连杆式门座起重机臂架及平衡系统优化 被引量:1

Optimization of Boom and Balance System for Four-bar Portal Crane
下载PDF
导出
摘要 为降低四连杆式门座起重机生产与运行成本,针对其臂架及平衡系统系统的优化进行了研究,提出了一种改进的变幅轨迹计算方法,保证计算结果的合理性,以9个关键参数为设计变量,根据11种实际工况下的约束条件建立更为完善的机构杆长优化模型,采用粒子群算法求解,并根据个体目标值动态设置权重以提高算法搜索能力,实现减轻机构自重、减小不平衡力矩和变幅齿条拉力的优化目标。基于优化结果建立臂架及平衡系统有限元模型,并采用一阶优化算法进行截面尺寸优化设计,得到质量更轻的臂架及平衡系统优化设计方案。算例结果表明:优化设计后的臂架及平衡系统的质量显著减小,实现了降低制造成本、提高经济效益的目标。 In order to reduce the production and running costs of four-bar portal cranes,the optimal design of the boom and balance system are carried out. An improved method of calculating luffing trajectory is proposed to ensure the rationality of the results and a better mathematical model of rod length optimization is established with the 9 key parameters and 11 practical constraint conditions. PSO( Particle Swarm Optimization) algorithm is used to solve the model and the weights based on the individual target values dynamics is set to improve algorithmic search ability. The optimal goals of minimize the weight,the unbalanced moment and the force of the luffing rack were achieved. The finite element model of the boom and the balance system is established based on the optimization results and the first-order optimization algorithm is used to optimize cross-section size in order to get an optimal design of boom and balance system with lighter weight. The application results show that the weight of the optimized boom and balance system is reduced significantly and the goals of reducing the manufacturing cost and improving the economic benefit are achieved.
作者 刘钦澎 曹旭阳 王殿龙 董想 吴刚 王雪松 Liu Qinpeng;Cao Xuyang;Wang Dianlong;Dong Xiang;Wu Gang;Wang Xuesong(School of Mechanical Engineering? Dalian University of Technology;Dalian Huari Heavy Industry Crane Co.,Ltd.)
出处 《港口装卸》 2018年第3期1-7,共7页 Port Operation
基金 国家自然科学基金项目(项目编号:51475068).
关键词 门座起重机 变幅轨迹 优化设计 粒子群算法 有限元 portal crane luffing trajectory optimal design PSO algorithm finite element
  • 相关文献

参考文献3

二级参考文献14

  • 1周宏甫.四连杆组合臂架的一种缩减维数的优化法[J].建筑机械,1994,14(1):8-11. 被引量:1
  • 2郑夕健,张国忠,费烨.基于灰色模糊决策的多目标优化模型及应用研究[J].组合机床与自动化加工技术,2007(1):10-13. 被引量:7
  • 3孙国正.工程机械广义优化方法研究与应用[M].北京:科学出版社,1992.125-140.
  • 4杨长睽 傅东明.起重机械[M].北京:机械工业出版社,1992..
  • 5[2]张可村.工程优化的算法与分析[M].西安:西安交通大学出版社,1989.
  • 6Rodolfo Dufo-Lopez,Jose L.Bernal-Agustin.Multi-objective design of PV wind diesel hydrogen battery systems[J].Renewable Energy,2008,33:2559-2572.
  • 7S.Suresh,P.B.Sujit,A.K.Rao.Particle swarm optimization approach for multi-objective composite box-beam design[J].Composite Structures,2007,81:598-605.
  • 8kennedy J,Eberhttrt R C.Particle swarm optimization[C].Proceedings of IEEE International Conference on Neural Networks,Piscataway,NJ,1995:1942-1948.
  • 9Kennedy J.The particle swarm:social adaptation of knowledge[C].Proceedings of IEEE International Conference on Evolutionary Computation,Indianapolis,1997:303-308.
  • 10陆国贤,丁怡四.联杆变幅装置优化设计,1979.

共引文献13

同被引文献4

引证文献1

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部