推进技术 ›› 2005, Vol. 26 ›› Issue (6): 556-559.

• • 上一篇    下一篇

构建航空发动机滑油系统稳态模型

刘波,周强,程礼,王掩刚   

  1. 西北工业大学动力与能源学院 陕西西安710072;西北工业大学动力与能源学院 陕西西安710072;空军工程大学工程学院;陕西西安710038;西北工业大学动力与能源学院 陕西西安710072
  • 发布日期:2021-08-15

Construction of steady model for an engine oil system

  1. School of Power and Energy Northwestern Polytechnical Univ.,Xi’an 710072,China;School of Power and Energy Northwestern Polytechnical Univ.,Xi’an 710072,China;Engineering Inst.,Air Force Engineering Univ.,Xi’an 710038,China;School of Power and Energy Northwestern Polytechnical Univ.,Xi’an 710072,China
  • Published:2021-08-15

摘要: 研究模拟不同飞行条件下滑油系统稳态工作对滑油系统的设计和故障诊断具有重要的参考价值。基于部附件特性,提出了依据8个航空发动机性能参数,用向量计算和插值算法取代迭代算法来构建滑油系统稳态模型的方法,并对发动机在海平面、最大工作状态条件下的滑油系统性能参数进行了验证计算。计算结果与设计数据吻合较好,误差在5%以内,表明所建立的稳态模型是有效的。滑油在各轴承腔和齿轮箱中的流量分配随空气压力变化,计算误差主要来自轴承腔和齿轮箱压力分布假设,为进一步提高计算精度,必须建立航空发动机内部空气系统模型。

关键词: 航空发动机;滑油系统+;稳态模型+;数值模拟

Abstract: It is rather worth investigating and simulating for the construction of oil sysfem model in diverse flight conditions and steady states for design and troubleshooting purpose.The method for constructing aero engine oil system computational model that begins with eight of aero engine performance parameters based on characteristic models of different oil-parts has been presented,employing vector calculus and interpolation algorithm to replace iteration.Test computation for the model on condition that aero engine operates in maximum regime at sea level has been performed.The fact that the results of test computation consist with design data fairly with the errors between them within 5%,shows that the model is valid.Since the oil flow flowing into each bearing casing or gearbox varies with the pressure of relevant bearing casing or gearbox,the errors is caused by the hypotheses on pressure distribution of bearing casings or gearboxes.In order to promote computational precision of the model,it is necessary to construct computational model of aero engine internal air system.

Key words: Aircraft engine;Oil system~+;Steady model;Numerical simulation