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往复式压缩机轴系扭振参数优化设计
引用本文:孙晓东,刘健,陈雅琪,侯小兵.往复式压缩机轴系扭振参数优化设计[J].机械设计与制造,2019(5):171-174.
作者姓名:孙晓东  刘健  陈雅琪  侯小兵
作者单位:中国石油大学(华东)机电工程学院;中石化石油机械股份有限公司
基金项目:工信部海工科研项目-海洋大功率往复式压缩机研制(工信部装[2014]506号)
摘    要:往复式压缩机轴系的扭转振动是影响其可靠性的重要因素,而轴系各部分扭振参数的合理配置对其扭振特性具有较大的影响,因此对其扭振参数优化设计具有重要意义。基于刚柔耦合多体动力学理论,以飞轮的转动惯量、联轴器的转动惯量及其扭转刚度为设计变量,分析其对轴系扭振特性的影响。采用最优拉丁超立方试验方法进行采样,获取25组样本点,建立刚柔耦合多体动力学模型,通过仿真计算其扭振响应;根据试验结果建立最大扭振角位移和一阶扭转固频与倍频程的中心频率分开裕度的二阶响应面模型;采用多目标遗传算法对建立的近似模型寻优,得到前沿解集。结果表明,所建立响应面模型能够有效的描述影响因素与目标间的关系,且优化后的轴系扭振特性得到了有效的改善。

关 键 词:往复式压缩机轴系  最优拉丁超立方  响应面模型  遗传算法

Optimization Design of Reciprocating Compressor Shafting Torsional Vibration Parameters
SUN Xiao-dong,LIU Jian,CHEN Ya-qi,HOU Xiao-bing.Optimization Design of Reciprocating Compressor Shafting Torsional Vibration Parameters[J].Machinery Design & Manufacture,2019(5):171-174.
Authors:SUN Xiao-dong  LIU Jian  CHEN Ya-qi  HOU Xiao-bing
Affiliation:(College of Mechanical and Electronic Engineering,China University of Petroleum(East China),Shandong Qingdao 266580,China;Sinpec Oilfield Equipment Corporation,HubeiWuhan 430000,China)
Abstract:Shafting torsional vibration of reciprocating compressor is an important factor affecting the reliability, and reasonable allocation of each part of the shafting torsional vibration parameters has a great influence on the torsional vibration characteristics,so the torsional vibration parameter optimization design has important significance. Based on the theory of rigid flexible coupling multi-body dynamics,taking the moment of inertia of the flywheel,the moment of inertia of the coupling and its torsional stiffness as the design variables,the influence of variables on the torsional vibration characteristics of the shafting is analyzed. The optimal Latin hypercube test method is used to sample,25 sets of sample points were obtained,then built the rigid-flexible coupling multi-body dynamics model,the torsional response is calculated by simulation. Based on the experimental results,the two order response surface models of the maximum torsional angular displacement and the separation margin of first order torsional frequency and octave center frequency are established;Optimization of the approximate model based on multi objective genetic algorithm,to get the front solution set. The results show that the response surface model can effectively describe the relationship between the influence factors and the target,and the torsional vibration characteristics of the optimized shafting are improved effectively.
Keywords:Reciprocating Compressor Shafting  Optimal Latin Hypercube  Response Surface Model  Genetic Algorithm
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