Multidisciplinary optimization technology research on typical turbine assembly structure

Huming Liao; Jiang Fan; Rongqiao Wang; Xiuli Shen; Dianyin Hu

doi:10.1115/IMECE2014-37473

Multidisciplinary optimization technology research on typical turbine assembly structure

Beihang University

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

2 Scopus citations

Abstract

A multidisciplinary design optimization (MDO) method for turbine mortise assembly structure is presented. This method takes tenon and mortise as a whole to carry on the design optimization. With the adoption of Design of Experiment (DOE) method and Collaborative Optimization (CO) Strategy, this method has realized the coupling parallel optimization of the mortise assembly structure. To verify the effectiveness of the proposed method a typical fir-tree mortise structure design optimization is provided as an example. The results show that the mass and Vo n Mises Stress of the mortise assembly structure were reduced remarkably, which means that the proposed method has a significant role in enhancing structural performance.

Original language	English
Title of host publication	Advances in Aerospace Technology
Publisher	American Society of Mechanical Engineers (ASME)
ISBN (Electronic)	9780791846421
DOIs	https://doi.org/10.1115/IMECE2014-37473
State	Published - 2014
Event	ASME 2014 International Mechanical Engineering Congress and Exposition, IMECE 2014 - Montreal, Canada Duration: 14 Nov 2014 → 20 Nov 2014

Publication series

Name	ASME International Mechanical Engineering Congress and Exposition, Proceedings (IMECE)
Volume	1

Conference

Conference	ASME 2014 International Mechanical Engineering Congress and Exposition, IMECE 2014
Country/Territory	Canada
City	Montreal
Period	14/11/14 → 20/11/14

Keywords

Collaborative Optimization
Design of Experiment
Mortise structure
Multidisciplinary design optimization

Access to Document

10.1115/IMECE2014-37473

Cite this

@inproceedings{780064110b2f46f995c70b24e456491e,

title = "Multidisciplinary optimization technology research on typical turbine assembly structure",

abstract = "A multidisciplinary design optimization (MDO) method for turbine mortise assembly structure is presented. This method takes tenon and mortise as a whole to carry on the design optimization. With the adoption of Design of Experiment (DOE) method and Collaborative Optimization (CO) Strategy, this method has realized the coupling parallel optimization of the mortise assembly structure. To verify the effectiveness of the proposed method a typical fir-tree mortise structure design optimization is provided as an example. The results show that the mass and Vo n Mises Stress of the mortise assembly structure were reduced remarkably, which means that the proposed method has a significant role in enhancing structural performance.",

keywords = "Collaborative Optimization, Design of Experiment, Mortise structure, Multidisciplinary design optimization",

author = "Huming Liao and Jiang Fan and Rongqiao Wang and Xiuli Shen and Dianyin Hu",

note = "Publisher Copyright: Copyright {\textcopyright} 2014 by ASME.; ASME 2014 International Mechanical Engineering Congress and Exposition, IMECE 2014 ; Conference date: 14-11-2014 Through 20-11-2014",

year = "2014",

doi = "10.1115/IMECE2014-37473",

language = "英语",

series = "ASME International Mechanical Engineering Congress and Exposition, Proceedings (IMECE)",

publisher = "American Society of Mechanical Engineers (ASME)",

booktitle = "Advances in Aerospace Technology",

address = "美国",

}

Liao, H, Fan, J , Wang, R , Shen, X & Hu, D 2014, Multidisciplinary optimization technology research on typical turbine assembly structure. in Advances in Aerospace Technology. ASME International Mechanical Engineering Congress and Exposition, Proceedings (IMECE), vol. 1, American Society of Mechanical Engineers (ASME), ASME 2014 International Mechanical Engineering Congress and Exposition, IMECE 2014, Montreal, Canada, 14/11/14. https://doi.org/10.1115/IMECE2014-37473

Multidisciplinary optimization technology research on typical turbine assembly structure. / Liao, Huming; Fan, Jiang ; Wang, Rongqiao et al.
Advances in Aerospace Technology. American Society of Mechanical Engineers (ASME), 2014. (ASME International Mechanical Engineering Congress and Exposition, Proceedings (IMECE); Vol. 1).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Multidisciplinary optimization technology research on typical turbine assembly structure

AU - Liao, Huming

AU - Fan, Jiang

AU - Wang, Rongqiao

AU - Shen, Xiuli

AU - Hu, Dianyin

PY - 2014

Y1 - 2014

N2 - A multidisciplinary design optimization (MDO) method for turbine mortise assembly structure is presented. This method takes tenon and mortise as a whole to carry on the design optimization. With the adoption of Design of Experiment (DOE) method and Collaborative Optimization (CO) Strategy, this method has realized the coupling parallel optimization of the mortise assembly structure. To verify the effectiveness of the proposed method a typical fir-tree mortise structure design optimization is provided as an example. The results show that the mass and Vo n Mises Stress of the mortise assembly structure were reduced remarkably, which means that the proposed method has a significant role in enhancing structural performance.

AB - A multidisciplinary design optimization (MDO) method for turbine mortise assembly structure is presented. This method takes tenon and mortise as a whole to carry on the design optimization. With the adoption of Design of Experiment (DOE) method and Collaborative Optimization (CO) Strategy, this method has realized the coupling parallel optimization of the mortise assembly structure. To verify the effectiveness of the proposed method a typical fir-tree mortise structure design optimization is provided as an example. The results show that the mass and Vo n Mises Stress of the mortise assembly structure were reduced remarkably, which means that the proposed method has a significant role in enhancing structural performance.

KW - Collaborative Optimization

KW - Design of Experiment

KW - Mortise structure

KW - Multidisciplinary design optimization

UR - https://www.scopus.com/pages/publications/84926306499

U2 - 10.1115/IMECE2014-37473

DO - 10.1115/IMECE2014-37473

M3 - 会议稿件

AN - SCOPUS:84926306499

T3 - ASME International Mechanical Engineering Congress and Exposition, Proceedings (IMECE)

BT - Advances in Aerospace Technology

PB - American Society of Mechanical Engineers (ASME)

T2 - ASME 2014 International Mechanical Engineering Congress and Exposition, IMECE 2014

Y2 - 14 November 2014 through 20 November 2014

ER -

Multidisciplinary optimization technology research on typical turbine assembly structure

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Conference

Keywords

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