Open AccessParametric Analysis of Wave-shaped Metal Sealing Ring Based on Hierarchical Solution Method
Author(s) -
Miaotian Zhang,
Shuangfu Suo,
Feng Yu,
Shi Jianwen,
Guoying Meng
Publication year - 2019
Publication title -
iop conference series. materials science and engineering
Language(s) - English
Resource type - Journals
eISSN - 1757-899X
pISSN - 1757-8981
DOI - 10.1088/1757-899x/616/1/012021
Subject(s) - correctness , ring (chemistry) , finite element method , parametric statistics , aerospace , seal (emblem) , optimization problem , engineering , resilience (materials science) , mechanical engineering , computer science , structural engineering , materials science , algorithm , mathematics , aerospace engineering , art , chemistry , statistics , organic chemistry , visual arts , composite material
The wave-shaped metal sealing ring is widely used in the aerospace field, whose failure will directly affect the flight safety and even cause major personal accidents and economic losses. The performance optimization problem of the wave-shaped seal is a multi-objective optimization problem, and the multiple targets are affected by the geometric design factors, and are not completely independent of each other. In this paper, for the sealing problem under the severe conditions of aero-engine, the corrugated metal sealing ring is taken as the research object. The W-shaped metal sealing ring is selected as an example, and the finite element model is established by using ANSYS software. Sealing, stability and resilience are chosen as indicators to evaluate the sealing performance. The multi-objective optimization problem is transformed into a single-objective optimization problem by hierarchical solution method, and the sealing structure is parameterized. The optimization results of the geometric parameters of the sealing ring are highly consistent with the product manual of the sealing ring. The correctness and feasibility of the optimization design method based on the analysis of three aspects of performance and the hierarchical solution for dimension reduction are verified.