IMR OpenIR
Multi-objective optimization of crimping of large-diameter welding pipe
Alternative TitleMulti-objective optimization of crimping of large-diameter welding pipe
Fan Lifeng1; Gao Ying2; Yun Jianbin3; Li Zhipeng4
2015
Source PublicationJOURNAL OF CENTRAL SOUTH UNIVERSITY
ISSN2095-2899
Volume22Issue:7Pages:2540-2548
AbstractCrimping is widely adopted in the production of large-diameter submerged- arc welding pipes. Traditionally, designers obtain the technical parameters for crimping from experience or by trial and error through experiments and the finite element (FE) method. However, it is difficult to achieve ideal crimping quality by these approaches. To resolve this issue, crimping parameter design was investigated by multi-objective optimization. Crimping was simulated using the FE code ABAQUS and the FE model was validated experimentally. A welding pipe made of X80 high-strength pipeline steel was considered as a target object and the optimization problem for its crimping was formulated as a mathematical model and crimping was optimized. A response surface method based on the radial basis function was used to construct a surrogate model; the genetic algorithm NSGA-II was adopted to search for Pareto solutions; grey relational analysis was used to determine the most satisfactory solution from the Pareto solutions. The obtained optimal design of parameters shows good agreement with the initial design and remarkably improves the crimping quality. Thus, the results provide an effective approach for improving crimping quality and reducing design times.
Other AbstractCrimping is widely adopted in the production of large-diameter submerged-arc welding pipes. Traditionally, designers obtain the technical parameters for crimping from experience or by trial and error through experiments and the finite element(FE) method. However, it is difficult to achieve ideal crimping quality by these approaches. To resolve this issue, crimping parameter design was investigated by multi-objective optimization. Crimping was simulated using the FE code ABAQUS and the FE model was validated experimentally. A welding pipe made of X80 high-strength pipeline steel was considered as a target object and the optimization problem for its crimping was formulated as a mathematical model and crimping was optimized. A response surface method based on the radial basis function was used to construct a surrogate model; the genetic algorithm NSGA-II was adopted to search for Pareto solutions; grey relational analysis was used to determine the most satisfactory solution from the Pareto solutions. The obtained optimal design of parameters shows good agreement with the initial design and remarkably improves the crimping quality. Thus, the results provide an effective approach for improving crimping quality and reducing design times.
KeywordDESIGN SHAPE crimping welding pipe optimization grey system theory genetic algorithm
Indexed ByCSCD
Language英语
Funding Project[Natural Science Foundation of Hebei Provincial Education Department, China] ; [Natural Science Foundation of Hebei Provincial Technology Department,china] ; [Inner Mongolia Higher School Science and Technology Research Program, China] ; [Natural Science Foundation of Inner Mongolia, China] ; [Higher-level Talents Fund of Inner Mongolia University, China]
CSCD IDCSCD:5501707
Citation statistics
Document Type期刊论文
Identifierhttp://ir.imr.ac.cn/handle/321006/153700
Collection中国科学院金属研究所
Affiliation1.Inner Mongolia Univ, Transportat Institute, Hohhot 010070, Peoples R China
2.Hebei Univ Sci & Technol, Coll Materials Sci & Engn, Shijiazhuang 050018, Peoples R China
3.Prod Qual Inspect Institute Inner Mongolia, Hohhot 010070, Peoples R China
4.中国科学院金属研究所
Recommended Citation
GB/T 7714
Fan Lifeng,Gao Ying,Yun Jianbin,et al. Multi-objective optimization of crimping of large-diameter welding pipe[J]. JOURNAL OF CENTRAL SOUTH UNIVERSITY,2015,22(7):2540-2548.
APA Fan Lifeng,Gao Ying,Yun Jianbin,&Li Zhipeng.(2015).Multi-objective optimization of crimping of large-diameter welding pipe.JOURNAL OF CENTRAL SOUTH UNIVERSITY,22(7),2540-2548.
MLA Fan Lifeng,et al."Multi-objective optimization of crimping of large-diameter welding pipe".JOURNAL OF CENTRAL SOUTH UNIVERSITY 22.7(2015):2540-2548.
Files in This Item:
There are no files associated with this item.
Related Services
Recommend this item
Bookmark
Usage statistics
Export to Endnote
Google Scholar
Similar articles in Google Scholar
[Fan Lifeng]'s Articles
[Gao Ying]'s Articles
[Yun Jianbin]'s Articles
Baidu academic
Similar articles in Baidu academic
[Fan Lifeng]'s Articles
[Gao Ying]'s Articles
[Yun Jianbin]'s Articles
Bing Scholar
Similar articles in Bing Scholar
[Fan Lifeng]'s Articles
[Gao Ying]'s Articles
[Yun Jianbin]'s Articles
Terms of Use
No data!
Social Bookmark/Share
All comments (0)
No comment.
 

Items in the repository are protected by copyright, with all rights reserved, unless otherwise indicated.