Optimal design for temperature and structure of the float-wall of flame tube

GAO Jian-hui; WEN Wei-dong; CUI Hai-tao

Chinese

您当前的位置：

首页 >

文章列表页 >

Optimal design for temperature and structure of the float-wall of flame tube

更新时间：2026-07-07

- Optimal design for temperature and structure of the float-wall of flame tube
- Vol. 27, Issue 3, (2012)
- 作者机构：
  
  南京航空航天大学能源与动力学院,南京,210016
- 作者简介：
- 基金信息：
- DOI：
  CLC：
- Published：2012
- 稿件说明：
移动端阅览
GAO Jian-hui, WEN Wei-dong, CUI Hai-tao. Optimal design for temperature and structure of the float-wall of flame tube[J]. 2012, 27(3).
DOI：

GAO Jian-hui, WEN Wei-dong, CUI Hai-tao. Optimal design for temperature and structure of the float-wall of flame tube[J]. 2012, 27(3). DOI：

摘要

以火焰筒浮动瓦块结构为研究对象

提出了利用神经网络与遗传算法相结合的方法对浮动瓦块中冷却结构变量和安装位置变量进行同步优化.利用遗传算法分别对冷却结构变量和安装位置变量进行优化

将安装位置优化结果作为冷却结构变量优化中遗传操作的依据

最终实现冷却结构和安装位置的同步优化.为了通过计算效率

利用神经网络对安装位置的优化结果进行映射取代其优化过程.算例结果表明:该方法高效、精确

有很好的工程实用价值.

Abstract

Taking the float-wall structure as the object of study

neural network and genetic algorithm were used to settle synchronistically the optimization of cooling structures and install position.Using genetic algorithm to perform cooling structures and install position optimization

and taking the result of install position optimization as the foundation of cooling structures optimization

thus finally realized the synchronized optimizations of cooling structures and install position.In order to enhance the efficiency of algorithm

neural network was used to perform mapping on the result of install position optimization so as to replace its optimization processes.The result of calculating example shows that the method being mentioned is highly active

accurate and possesses good application value to engineering.

关键词

Keywords

references

Views

439

下载量

CSCD

Alert me when the article has been cited

提交

Tools

Publicity Resources

Surrogate formulation methodology of coal-based jet fuel based on neural network mixing model

Blade pattern optimization of the hydraulic turbine based onneural network and genetic algorithm

Aerodynamic optimization method for duct design

Optimization design and robustness analysis of decentralized control for integrated flight/propulsion systems

Genetic algorithm model-based optimization for float-wall with thermal-structural coupled

Related Author

LIU Zhen-tao

XU Quan-hong

ZHANG Chi

HUO Wei-ye

LIN Yu-zhen

MIAO Sen-chun

YANG Jun-hu

WANG Xiao-hui

Related Institution

National Key Laboratory of Science and Technology on Aero-Engine Aero-thermodynamics, School of Energy and Power Engineering, Beijing University of Aeronautics and Astronautics

Collaborative Innovation Center for Advanced Aero-Engine

School of Energy and Power Engineering, Lanzhou University of Technology

School of Aeronautics, Northwestern Polytechnical University

Key Laboratory of Nondestructive Testing,School of Measuring and Optical Engineering Nanchang Hangkong University

AI问答

Postal code：100079
Tel：（010）53879206 Email：tmw@bjxintong.com.cn
Technical support is provided by Beijing Founder electronics co., LTD 京ICP备09082226号-64 京公网安备11010602201714号
It is recommended to read the content of this site in Chrome&IE9+. Please switch to extreme mode in browser 360.
Cookies We use cookies to help provide and enhance our service and tailor content. By continuing, you agree to the use of cookies.

⁰