IMR OpenIR
Process parameter optimization for thin-walled tube push-bending using response surface methodology
Xie, Wenlong1,2; Jiang, Weihao3; Wu, Yunfeng4; Song, Hongwu1; Deng, Siying1; Lazarescu, Lucian5; Zhang, Shihong1; Banabic, Dorel5
Corresponding AuthorSong, Hongwu(hwsong@imr.ac.cn)
2021-10-19
Source PublicationINTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY
ISSN0268-3768
Pages15
AbstractIn this paper, the response surface methodology (RSM) and finite element (FE) simulation were applied to optimize the push-bending process parameters of the thin-walled tube with polyurethane mandrel. The objective of the present work is to predict the optimal set of process parameters including the length to diameter ratio of the mandrel (L/D), the friction coefficient between die and tube (mu(1)), the friction coefficient between polyurethane and tube (mu(2)), and Poisson's ratio of polyurethane (upsilon) to obtain qualified bent tubes. Three empirical models were developed to describe the relationship between process parameters and quality parameters of the bent tubes. In addition, the significant factors affecting the forming quality were analyzed using analysis of variance (ANOVA) of each model. Response surfaces were constructed to study the effect of each process parameter on the quality of the bent tubes. Finally, the process optimization window with the maximum thinning rate (phi) less than 20%, the maximum thickening rate (psi) less than 17%, and the maximum cross-section ovality (xi) less than 5% of the bent tube was established. Qualified bent tubes with diameter of 144 mm, wall thickness of 2 mm, and bending radius of 280 mm were formed experimentally by following the established process window.
KeywordThin-walled tube Push-bending Process optimization Response surface methodology
Funding OrganizationNational Natural Science Foundation of China
DOI10.1007/s00170-021-08196-8
Indexed BySCI
Language英语
Funding ProjectNational Natural Science Foundation of China[51875547]
WOS Research AreaAutomation & Control Systems ; Engineering
WOS SubjectAutomation & Control Systems ; Engineering, Manufacturing
WOS IDWOS:000708800300005
PublisherSPRINGER LONDON LTD
Citation statistics
Document Type期刊论文
Identifierhttp://ir.imr.ac.cn/handle/321006/166601
Collection中国科学院金属研究所
Corresponding AuthorSong, Hongwu
Affiliation1.Chinese Acad Sci, Inst Met Res, Shi Changxu Innovat Ctr Adv Mat, Shenyang 110016, Peoples R China
2.Univ Sci & Technol China, Sch Mat Sci & Engn, Shenyang 110016, Peoples R China
3.Guizhou Liyang Aeroengine Corp, Guiyang 550000, Peoples R China
4.Beijing Inst Astronaut Syst Engn, Beijing 100076, Peoples R China
5.Tech Univ Cluj Napoca, Dept Mfg Engn, Cluj Napoca 400641, Romania
Recommended Citation
GB/T 7714
Xie, Wenlong,Jiang, Weihao,Wu, Yunfeng,et al. Process parameter optimization for thin-walled tube push-bending using response surface methodology[J]. INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY,2021:15.
APA Xie, Wenlong.,Jiang, Weihao.,Wu, Yunfeng.,Song, Hongwu.,Deng, Siying.,...&Banabic, Dorel.(2021).Process parameter optimization for thin-walled tube push-bending using response surface methodology.INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY,15.
MLA Xie, Wenlong,et al."Process parameter optimization for thin-walled tube push-bending using response surface methodology".INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY (2021):15.
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
[Xie, Wenlong]'s Articles
[Jiang, Weihao]'s Articles
[Wu, Yunfeng]'s Articles
Baidu academic
Similar articles in Baidu academic
[Xie, Wenlong]'s Articles
[Jiang, Weihao]'s Articles
[Wu, Yunfeng]'s Articles
Bing Scholar
Similar articles in Bing Scholar
[Xie, Wenlong]'s Articles
[Jiang, Weihao]'s Articles
[Wu, Yunfeng]'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.