摘要
针对航空发动机涨圈密封在高温工况下磨损严重的特性,提出一种动环端面开设螺旋槽的动压涨圈密封。综合考虑切口对主密封端面流动的相互影响,建立流固热耦合数值分析模型,分析动压涨圈密封的密封性能,采用响应面法对静环结构参数进行多目标优化分析,试验验证模型的准确性。研究结果表明:动压涨圈的密封性能主要受切口间隙影响,而减磨性能主要受轴向厚度和径向宽度影响;切口间隙的增大将导致密封性能和减磨性能的下降,但轴向厚度和径向宽度的增加可有效减弱切口间隙的不利影响。优化参数组合为切口间隙0.2 mm、轴向厚度13 mm、径向宽度6.5 mm,优化后泄漏率降低26.73%,密封性能、减磨性能得到明显提升。
Aiming at the severe wear and tear characteristics of the aero-engine expansion ring seal under high temperature conditions,a dynamic pressure split ring seal with spiral groove on the end face of the split ring was proposed.Considering the mutual influence of the notch on the flow of the end face of the main seal,the fluid-solid thermal coupling numerical analysis model was established to analyze the sealing performance of the dynamic pressure swelling ring seal.The structural parameters of the static ring were optimized by the response surface method,and the accuracy of the model was verified by experiments.The results show that the sealing performance of dynamic pressure swelling ring is mainly affected by the clearance of the incision,and the wear reduction performance is mainly affected by the axial thickness and radial width.The increase of notch clearance will lead to the decrease of sealing performance and wear reduction performance,but the increase of axial thickness and radial width can effectively reduce the adverse effect of notch clearance.The optimized parameter combination was notch clearance 0.2 mm,axial thickness 13 mm and radial width 6.5 mm.After optimization,the leakage rate was reduced by 26.73%,and the sealing performance and wear reduction performance were significantly improved.
作者
毕恩哲
李双喜
沙廉翔
刘登宇
陈凯放
BI Enzhe;LI Shuangxi;SHA Lianxiang;LIU Dengyu;CHEN Kaifang(College of Mechanical and Electrical Engineering,Beijing University of Chemical Technology,Beijing 100029,China)
出处
《化工学报》
EI
CSCD
北大核心
2023年第6期2565-2579,共15页
CIESC Journal
基金
国家自然科学基金项目(2018YFB2000800)。
关键词
动压涨圈密封
响应面法
密封特性
流固热耦合分析模型
dynamic pressure split ring seal
response surface method
sealing characteristics
fluid-solid thermal coupling analysis model
