摘要
以某5000 mm组合式粗轧机测量数据作为原始数据,采用基于遗传算法的多目标优化设计理论,在Ansys Workbench优化模块下进行优化分析。将拉杆尺寸作为设计变量,将机架等效应力、窗口变形、横梁与立柱开裂间隙及机架纵向变形作为目标函数对拉杆尺寸进行了优化分析与对比,最终得出使机架具有最佳力学性能的拉杆的最佳尺寸。其中1、2号拉杆最优直径为Φ346 mm,3、4号拉杆最优直径为Φ227 mm,5、6号拉杆最优直径为Φ236 mm,7、8号拉杆最优直径为Φ332 mm。同时得到在拉杆最佳尺寸下机架最大等效应力为112 MPa,窗口最大变形量为0.18 mm,横梁与立柱开裂间隙最大值为0.06 mm,机架纵向总变形为2.7 mm。与整体式机架力学性能进行比较,组合式机架窗口最大变形量减小61%,机架强度明显提高。
Taking the test data of a 5000 mm sectional rough rolling-mill as the original data,the multi-objective optimization design theory based on genetic algorithm was used,and the optimization analysis was carried out under Ansys Workbench optimization module.The rods size was taken as the design variable,and the equivalent stress of housing,the deformation of window,the crack gap between beam and column and the z-direction deformation of housing were taken as the objective functions to carry out the optimization analysis and comparison of the rod size.Finally,the optimal sizes of rod,which can make the housing achieve the best mechanical properties were obtained.The optimal diameter of No.1&No.2 isΦ346 mm,of No.3&No.4 isΦ227 mm,of No.5&No.6 isΦ236 mm and of No.7&No.8 isΦ332 mm.Meanwhile,the maximum equivalent stress of housing is 112 MPa,the maximum deformation of the window is 0.18 mm,the carck gap between beam and column is 0.06 mm and the total z-direction deformation of housing is 2.7 mm with the optimal rod size.Compared with the mechanical properties of one-piece rolling-mill housing,the maximum deformation of the window of sectional rolling-mill housing is reduced by 61%,and the strength of housing is improved obviously.
作者
蒋莉
廖文玲
伍琼仙
JIANG Li;LIAO Wen-ling;WU Qiong-xian(School of Intelligent Manufacturing,Chengdu Technological University,Chengdu 611730,China;School of Mechanical Engineering,Taiyuan University of Science and Technology,Taiyuan 030024,China)
出处
《塑性工程学报》
CAS
CSCD
北大核心
2020年第4期179-184,共6页
Journal of Plasticity Engineering
基金
成都工业学院实验室开放基金资助项目(2019ZH02)。
关键词
轧机组合式机架
拉杆尺寸
遗传算法
多目标优化
力学性能
sectional rolling-mill housing
rod size
genetic algorithm
multi-objective optimization
mechanical properties