流场分析与智能建模在机油泵CAD中的联合应用  

Co-application of flow field analyzing and intelligent modeling on CAD of oil pump

作　　者：童宝宏[1] 尹军[1] 

机构地区：[1]安徽工业大学机械工程学院,马鞍山243032

出　　处：《农业工程学报》2011年第8期157-162,F0004,共7页Transactions of the Chinese Society of Agricultural Engineering

基　　金：国家自然科学基金资助项目(50575065);安徽省高校优秀青年人才基金资助项目(2009SQRZ077)

摘　　要：针对发动机机油泵新产品设计过程中性能预测难和试验成本高的问题,提出一种将流场数值模拟和神经网络智能建模预测技术联合应用于机油泵产品设计过程的新方法。结合机油泵初始设计结构尺寸,建立其内部流场的CFD(computathonal fluid dynamics)仿真模型;通过流场数值模拟分析,获取一定量的机油泵转速、供油压力、供油温度和供油流量数据;构建描述机油泵供油特性的BP神经网络模型,利用流场数值模拟结果数据作为样本训练该网络模型;最后利用训练好的BP神经网络智能模型对各种工况下机油泵的供油特性进行预测分析。实例验证结果表明,采用文中方法取得很好的仿真分析效果,可以用于在设计阶段对发动机机油泵产品的结构进行优化并调控产品的工作特性。In order to improve the efficency of performance predicting and decrease the cost of testing in the procedure of product development, a CAD method for engine oil pump which based on co-application of flow field analyzing and intelligent modeling was introduced. Numerical simulation model of oil pump internal flow field based on CFD was developed combining with the structural parameters of oil pump. And infromation data about oil pump rotate speed, supplying pressure, oil temperature and oil flow rate were obtained by CFD simulating. A BP neural network model that describeed the delivery performance of oil pump was established, and the model was trained by learning samples which selected from those above information data. And lastly, predicting for the delivery performance of oil pump under various operating conditions was carried out by this BP intelligent model. Experiments showed that the simulation results fitted the testing results quite well. From these results, the conclusion is that the method introduced here can give useful support for optimization design of structural parameters of engine oil pump and control of its delivery performance in the procedure of new product development.

关 键 词：流场 泵 模型 智能建模 供油特性 

分 类 号：TK414.13[动力工程及工程热物理—动力机械及工程]