TURBINE DISK PROFILE OPTIMIZATION APPLYING DESIGN OF EXPERIMENT AND RESPONSE SURFACE METHOD

ZHANG ZhiYi; LIU Yang; PI ZiZi; DENG XiaoTao; DENG YiTai

doi:10.16579/j.issn.1001.9669.2018.05.017

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TURBINE DISK PROFILE OPTIMIZATION APPLYING DESIGN OF EXPERIMENT AND RESPONSE SURFACE METHOD

更新时间：2022-09-22

- TURBINE DISK PROFILE OPTIMIZATION APPLYING DESIGN OF EXPERIMENT AND RESPONSE SURFACE METHOD
- Journal of Mechanical Strength Vol. 40, Issue 5, Pages: 1125-1130(2018)
- 作者机构：
  
  1. 中国航空发动机集团湖南动力机械研究所
- 作者简介：
- 基金信息：
- DOI：10.16579/j.issn.1001.9669.2018.05.017
  CLC：
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ZHANG ZhiYi, LIU Yang, PI ZiZi, et al. TURBINE DISK PROFILE OPTIMIZATION APPLYING DESIGN OF EXPERIMENT AND RESPONSE SURFACE METHOD. [J]. 40(5):1125-1130(2018)
DOI：

ZHANG ZhiYi, LIU Yang, PI ZiZi, et al. TURBINE DISK PROFILE OPTIMIZATION APPLYING DESIGN OF EXPERIMENT AND RESPONSE SURFACE METHOD. [J]. 40(5):1125-1130(2018) DOI： 10.16579/j.issn.1001.9669.2018.05.017.

摘要

采用Ansys Workbench平台对某涡轮盘进行了形状优化设计,结果表明轮盘应力显著降低的同时其重量也得到减轻。本研究亦表明:集成几何建模、应力分析和优化模块的Ansys Workbench平台可显著降低优化设计工作的难度;采用试验设计和响应面法的组合代理模型精度可满足工程需要;基于试验设计、响应面法和多目标遗传算法的组合优化策略可大幅度提升优化效率。

Abstract

Profile of a turbine disk was optimized in ANSYS Workbench platform and results suggested that disk stresses were decreased significantly while the disk mass was lightened as well. Present research demonstrates that ANSYS Workbench platform integrating geometry modeling,stress analysis and optimization module can minimize the difficulties of optimization work,the accuracy of surrogate model using Design of Experiments（ DOE） and Response Surface Method（ RSM） can satisfy engineering requirements and the application of combination optimization strategy involving DOE,RSM and Multi-Objective Genetic Algorithm（ MOGA） can obviously enhance the optimization efficiency.

关键词

涡轮盘试验设计响应面法优化

Keywords

Turbine diskDesign of experimentsResponse surface methodOptimization

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