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作 者:孙永瑞 陶琛 裴威[1] SUN Yongrui;TAO Chen;PEI Wei(Shenyang Blower Works Group Corporation,Shenyang 110869,China)
机构地区:[1]沈阳鼓风机集团股份有限公司,沈阳110869
出 处:《流体机械》2023年第5期22-28,共7页Fluid Machinery
基 金:国家重点研发计划项目(2018YFB0606100);辽宁省博士科研启动基金计划项目(2020-BS-274)。
摘 要:针对现有压缩机组径向尺寸大、机组重量大的问题,对某型离心压缩机模型级开展降低扩压器高度的定子件优化设计,采用拉丁超立方抽样结合神经网络离线预测模型进行全局寻优,解决了压缩机缩减尺寸后出现的弯道高入流速及回流器的短弦长引起的定子件内损失增大的问题。提出了优化目标降维和粗、精细优化相结合的方法,以及筛选出高敏感度参数及关键部件进行重点优化,缩短了优化周期。结果表明:最终方案CFD效率提升了0.71%,试验测试效率提高了1.3%,验证了优化设计方法有效;经过对比分析,建议压缩机缩减设计时保持b_(4)不变,增大b_(5)以降低回流器入口气体流速,设置b6与b5尺寸相当以降低二次弯道损失,同时,调节回流器叶片安装角度使之与气流匹配即可实现较高的级效率。For the problems of large radial size and large weight of the existing compressor unit,the optimization design of the stator component to reduce the diffuser height was carried out for a centrifugal compressor model stage.Latin hypercube sampling combined with neural network off-line prediction model was used for global optimization to effectively reduce the internal flow loss of the stator component due to high inflow speed at the bend and short chord length of reflux distributor after size reduction of the compressor.In order to shorten the optimization cycle,a method that combines the target dimension-reduction with the coarse-fine optimization was proposed to screen high sensitivity parameters and key components for focused optimization.The results indicate that the CFD efficiency and experiment efficiency of the final scheme are increased by 0.71%and 1.3%,which verifies the effectiveness of the optimization design method;Through comparative analysis,it is recommended to keep b4 unchanged when conducting size-reduction design of the compressor,and increase b5 slightly to reduce the inflow velocity of reflux distributor,set the value of b6 equivalent to b5 so as to reduce the secondary bend loss,and adjust the installation angle of the reflux distributor blade to match the air flow to achieve higher stage efficiency.
分 类 号:TH452[机械工程—机械制造及自动化]
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