基于遗传算法的颚式破碎机优化设计

发布时间：2018-05-11 21:39

本文选题：遗传算法 + 优化设计　；参考：《东华大学学报(自然科学版)》2017年04期

【摘要】：复摆式颚式破碎机的设计参数主要包括整体机构参数、腔形参数及工作参数,各参数的配置情况直接影响机器生产能力,因此对颚式破碎机的优化设计尤为必要.以PE 250×400型颚式破碎机作为优化对象,以提高颚式破碎机生产率作为优化设计目标,以影响生产率的各构件基本尺寸作为优化设计变量,建立包含机构参数、腔形参数和工作参数的约束条件,构建基于遗传算法的颚式破碎机优化设计数学模型.在利用遗传算法完成颚式破碎机初步优化的基础上,通过人机配合采用3种方案分别进行两次优化,得到不同方案的优化结果.通过对比分析最终确定了适合PE250×400型颚式破碎机的优化设计方案,为颚式破碎机的优化设计提供理论和方法指导.
[Abstract]:The design parameters of the compound pendulum jaw crusher mainly include the overall mechanism parameters, cavity shape parameters and working parameters. The configuration of each parameter directly affects the production capacity of the machine, so it is particularly necessary to optimize the design of the jaw crusher. Taking PE250 脳 400 jaw crusher as the optimization object, improving the productivity of the jaw crusher as the optimization design objective, and taking the basic dimensions of the components that affect the productivity as the optimization design variables, the mechanism parameters are established. The optimal design mathematical model of jaw crusher based on genetic algorithm is constructed by the constraints of cavity parameters and working parameters. Based on the preliminary optimization of jaw crusher by genetic algorithm, the optimization results of different schemes were obtained by using three schemes. The optimal design scheme suitable for PE250 脳 400 jaw crusher is determined by comparison and analysis, which provides theoretical and methodological guidance for the optimization design of jaw crusher.
【作者单位】：河南理工大学机械与动力工程学院;
【基金】：河南省高等学校重点科研资助项目(16A416003)
【分类号】：TH122

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