摘要
为提高复摆式颚式破碎机工作能力,以破碎生产率和动颚行程特性值为优化目标,对颚式破碎机进行多目标优化设计。以PE250×400型颚式破碎机为优化对象,以各构件尺寸为优化设计变量,建立机构参数、腔形参数及工作参数等约束条件,构建多目标优化设计模型,利用带精英策略的非支配排序遗传算法(NSGA-II)处理多目标优化模型,得到帕累托(Pareto)最优解集。通过对比两目标的最优解分布,确定出待优化目标间的相互影响规律,并从最优解集中选择出合理参数作为最终设计结果。分析结果表明:文中提出的优化设计方法在获得更大生产率的同时,有效减小了动颚磨损,实现了颚式破碎机的多目标优化设计。
The multi-objective optimization model of jaw crusher,focusing on both the crush productivity and the characteristic value of the moving jaw,is established,for the sake of better mechanical performance.Such constraints as mechanism parameters,cavity parameters,and operating parameters are identified,with the PE250×400 jaw crusher as the target,and the di- mensions of each component as the variables.Based on the NSGA-Ⅱ genetic algorithm,the mathematical model of multi-objective optimization design is set up,and the Pareto optimal solution set is obtained.Measures are taken to compare the distribution of optimal solutions,in order to.identify the mutual-influence law between the targets to be optimized and take reasonable parameters as the final results.The results show that the method proposed in this article ensures great productivity,and effectively reduces the wear of the moving jaw,thus ensuring the smooth multi-objective optimization design of jaw crusher.
作者
范玉
吴雪峰
FAN Yu;WU Xue-feng(School of Mechanical and Power Engineering,Henan Polytechnic University,Jiaozuo 454000)
出处
《机械设计》
CSCD
北大核心
2018年第11期85-88,共4页
Journal of Machine Design
基金
河南省高等学校重点科研资助项目(17A535002
16A416003)
关键词
遗传算法
多目标
破碎机
生产率
genetic algorithm
multi-objective
crusher
productivity
