局部多孔质气浮导轨多目标优化研究  

Multi-objective Optimization of Partial Porous Air Conveyors

作　　者：钟伟[1,2] 郭宗良[1] 黎鑫[3] 路波 

机构地区：[1]江苏科技大学机械工程学院,江苏镇江212003 [2]无锡气动技术研究所有限公司,江苏无锡214072 [3]浙江大学流体动力与机电系统国家重点实验室,浙江杭州310027 [4]宁波市博研气动技术研究所,浙江奉化315500

出　　处：《液压与气动》2014年第6期6-9,共4页Chinese Hydraulics & Pneumatics

基　　金：国家自然科学基金资助项目(51205174);宁波市自然科学基金资助项目(2013A610049)

摘　　要：为了优化局部多孔质气浮导轨的设计参数,建立了包含多孔质流量特性的气浮导轨气膜压力特性数学模型,提出了一种基于非支配排序遗传算法(NSGA-II)的多孔质气浮导轨优化设计方法,实现了耗气量最小和气膜承载能力最大两个目标的参数优化计算。该方法能够获得目标空间内均匀分布的Pareto解集,克服了实际设计过程中单纯依靠经验的缺陷。选取4组Pareto最优解,通过改变参数分析了各参数对气浮导轨性能的影响程度。结果表明,多孔质排布位置对气膜承载能力的影响最为显著。In order to optimize the design parameters of partial porous air conveyors, a pressure model for the air film is established considering the characteristics of porous media, and a nondominated sorting genetic algorithm-II （NSGA-II） based optimization method is proposed for a two-objective optimization to achieve minimum air consumption and maximum load capacity. The method can obtain a uniform Pareto optimal set in objective space, and thus overcomes the defects resulted from the only dependence on experience. Four Pareto-optimal solutions are selected to analyze the influence from parameters to the performance of the air conveyors, and the results indicate that the position of the porous pad has significant impact on the load capacity of the air film.

关 键 词：多孔质 气浮导轨 气膜 优化 

分 类 号：TH138[机械工程—机械制造及自动化]