航空发动机转子结构布局优化设计方法
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摘要
结构是航空发动机功能、性能及可靠性设计水平的综合体现,一切技术要求、性能指标、强度指标或者结构的安全性和可靠性都应建立在合理的结构布局设计上。提出了航空发动机转子结构布局并对其进行优化设计的观点,同时以典型高推重比涡扇发动机高压转子的结构构型为例,基于试验设计(DOE)的响应面法,应用有限元计算并通过多目标遗传优化算法,分别从抗变形能力、力学环境适应能力以及转子结构效率综合进行相关优化计算,论证了合理的结构布局形式可以大幅度提升转子的力学特性。研究方法对于航空发动机转子系统的初始结构布局设计具有指导意义,可以显著减少结构设计的迭代次数,缩短设计周期。
Structure is the comprehensive embodiment of aero-engine function,performance,and reliability design level,and all technical requirements,performance indicators,strength indicators,or structural safety and reliability should be based on reasonable structure layout design.This paper puts forward the viewpoint of the layout and optimization about the aero-engine rotor structure.Taking the structure configuration of the high-pressure rotor of a typical turbofan engine as an example and based on the response surface method of the design of experiment(DOE),the finite element method is used to calculate through multi-objective genetic optimization algorithm.Relevant optimization calculations are carried out from the aspects of deformation resistance,mechanical environment adaptability and rotor structural efficiency respectively.It is demonstrated that reasonable structure layout can greatly enhance the mechanical properties of rotors.The research method is of great guiding significance for the initial structure layout design of the aero-engine rotor system,which can significantly reduce the number of iterations and shorten the design cycle.
Structure is the comprehensive embodiment of aero-engine function,performance,and reliability design level,and all technical requirements,performance indicators,strength indicators,or structural safety and reliability should be based on reasonable structure layout design.This paper puts forward the viewpoint of the layout and optimization about the aero-engine rotor structure.Taking the structure configuration of the high-pressure rotor of a typical turbofan engine as an example and based on the response surface method of the design of experiment(DOE),the finite element method is used to calculate through multi-objective genetic optimization algorithm.Relevant optimization calculations are carried out from the aspects of deformation resistance,mechanical environment adaptability and rotor structural efficiency respectively.It is demonstrated that reasonable structure layout can greatly enhance the mechanical properties of rotors.The research method is of great guiding significance for the initial structure layout design of the aero-engine rotor system,which can significantly reduce the number of iterations and shorten the design cycle.
引文
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[19]左益.基于全局优化和局部学习的进化多目标优化算法[D].西安:西安电子科技大学,2016:29-47.ZUO Y.Evolutionary multi-objective algorithms based on global optimization and local learning[D].Xi’an:Xidian University,2016:29-47(in Chinese).
[2]ARNE S,JULIAN B,SASCHA K,et al.Conceptual investigation of a propulsive fuselage aircraft layout[J].Aircraft Engineering and Aerospace Technology,2014,86(6):464-472.
[3]LUO Q,WEN Z H.Application of garden design style in Tang dynasty to the design of modern city public gardens:A case study of Tang paradise[J].Journal of Landscape Research,2018,10(2):11-14.
[4]LIU S,QIAO H.Topology optimization of continuum structures with different tensile and compressive properties in bridge layout design[J].Structure and Multidisciplinary Optimization,2011,43(3):369-380.
[5]GUTTA P R,CHITHALA V S,MANCHOJU R V,et al.A review on facility layout design of an automated guided vehicle in flexible manufacturing system[J].Materialstoday:Proceedings,2018,05(2):3981-3986.
[6]WANG Y K,LIAO M F,ZHANG J H.Dynamic load reduction design for inter-shaft bearing of aircraft engine[J].Journal of Aerospace Power,2017,32(2):492-499.
[7]FU C,REN X M,YANG Y F,et al.An interval precise integration method for transient unbalance response analysis of rotor system with uncertainty[J].Mechanical System and Signal Processing,2018,107:137-148.
[8]WHANG C,CHOY K L,BACK J.Development and experimental vertification of counter-rotating dual rotor/dual generator wind turbine:Generating,yawing and furling[J].Renewable Energy,2017,114(B):644-654.
[9]刘子君.统计学[M].北京:清华大学出版社,2017:148-156.LIU Z J.Statics[M].Beijing:Tsinghua University Press,2017:148-156(in Chinese).
[10]鹏翔.复杂产品设计中参数关联和等效简化方法激起应用[D].杭州:浙江大学,2014:92-145.PENG X.Method and its application of parameter correlation and equivalent simplification in complex product design[D].Hangzhou:Zhejiang Uiversity,2014:92-145(in Chinese).
[11]闵亚能.试验设计(DOE)应用指南[M].北京:机械工业出版社,2011:5-17.MIN Y N.Application guide of DOE[M].Beijing:China Machine Press,2011:5-17(in Chinese).
[12]XIONG F F,XIONG Y,GREENE S,et al.A new sparse grid based method for uncertainty propagation[C]∥International Design Engineering Conference&Computers and Information in Engineering Conference.New York:ASME,2009:1-11.
[13]FERREIRA S L C,BRUNS R E,MATOS G D,et al.Box-Behnken design:An alternative for the optimization of analytical methods[J].Analytica Chimica Acta,2007,597(2):179-186.
[14]文放怀.田口方法[M].广州:广东经济出版社,2006:43-101.WEN F H.Taguchi method[M].Guangzhou:Guangdong Economic Press,2006:43-101(in Chinese).
[15]HELTON J C,DAVIS F J.Latin hypercube sampling and the propagation of uncertainty in analyses of complex systems[J].Reliability Engineering&System Safety,2003,81(1):23-69.
[16]马艳红,陈璐璐,张大义,等.航空发动机转子系统结构效率评估参数及计算方法[J].航空动力学报,2013,28(7):1598-1606.MA Y H,CHEN L L,ZHANG D Y,et al.Assessment parameters and calculation methods of structural efficiency on rotor system in aero engine[J].Journal of Aerospace Power,2013,28(7):1598-1606(in Chinese).
[17]OSCAR L,OLVERA A,BRUNO D.Population models and simulation methods:The case of the spearman rank correlation[J].Mzthematical and Statistical Psychology,2017,70(6):347-367.
[18]玄光男.遗传算法与工程优化[M].北京:清华大学出版社,2004:76-88.XUAN G N.Genetic algorithm and engineering optimization[M].Beijing:Tsinghua University Press,2004:76-88(in Chinese).
[19]左益.基于全局优化和局部学习的进化多目标优化算法[D].西安:西安电子科技大学,2016:29-47.ZUO Y.Evolutionary multi-objective algorithms based on global optimization and local learning[D].Xi’an:Xidian University,2016:29-47(in Chinese).