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作 者:周利东[1] 展翼飞 袁媛 闫永杰 刘源 张鼎益 陈振鲁 ZHOU Lidong;ZHAN Yifei;YUAN Yuan;YAN Yongjie;LIU Yuan;ZHANG Dingyi;CHEN Zhenlu(College of Mechanical Engineering,Taiyuan University of Science and Technology,Taiyuan 030024,China;TZ Group Xiangming Intelligent Equipment Co.,Ltd.,Taiyuan 030032,China)
机构地区:[1]太原科技大学机械工程学院,山西太原030024 [2]太重集团向明智能装备股份有限公司,山西太原030032
出 处:《煤炭工程》2024年第4期22-27,共6页Coal Engineering
基 金:山西省科技成果转化引导专项(202104021301062);山西省基础研究计划(面上项目)(202303021211202、202204021301060)。
摘 要:为了解决圆管带式输送机桁架结构设计常参照经验而使用钢量浪费的问题,提出基于实验设计(DoE)的优化设计方法。分析圆管带式输送机桁架承受的荷载组合情况,在Ansys workbench中按照桁架的最不利荷载组合施加荷载,找出危险杆件;对杆件截面设计尺寸进行参数相关性分析,选取敏感度较高的控制参数,通过拉丁超立方抽样和非参数回归方法建立响应面模型,采用多目标遗传算法(MOGA)进行多目标优化。结果表明:优化后的桁架结构整体质量减轻32.8%,实现了结构轻量化;同时,杆件应力比均有所增加但满足强度和刚度要求,杆件截面利用更加充分。In order to save the steel consumption in experience-based design of pipe belt conveyor truss structure,an optimal design method based on Design of Experiment(DoE)was proposed,and used in the steel truss design.The load combinations of the pipe belt conveyor truss were analyzed,and the loads were applied in Ansys Workbench according to the most unfavourable load combinations of the truss to identify the dangerous bars.Multi-objectives Genetic Algorithms(MOGA)was used for multi-objective optimization.The results show that,the overall mass of the optimized truss structure was reduced by 32.8%,resulting in a lighter structure;at the same time,the stress ratios of the bars were increased while stilling meeting the strength and stiffness requirements,and the bar sections were better utilized.
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