Reducing the Collision Damage Done to the Tips of Steel Needles during Integrated Piercing by Using Shape Optimization with Feature Selection
Joint Authors
Yang, Jingzhao
Dong, Jiuzhi
Jiang, Xiuming
Chen, Yunjun
Source
Mathematical Problems in Engineering
Issue
Vol. 2020, Issue 2020 (31 Dec. 2020), pp.1-19, 19 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2020-08-24
Country of Publication
Egypt
No. of Pages
19
Main Subjects
Abstract EN
Recent research has shown that, during integrated piercing, the yarn tension can displace the needles from the centers of the holes in the piercing template.
To reduce the damage done to the needle tips when the needles and the hole walls collide when the needle displacement is too large, this paper proposes a method for optimizing the needle shape that satisfies the strength constraint while targeting minimum needle displacement.
First, the optimal objective function and strength constraint conditions for the tip displacement of the integrated puncture needle are established, which are affected by many factors.
Then, the feature selection method of machine learning is used to reduce the dimensionality of the objective function after data reduction, and the feasible region of key features is reduced to avoid falling into the local best point in the optimization iteration.
Finally, machine vision is used to measure experimentally the tip displacement of a needle array.
The results show that the average tip displacement is reduced by 18.16–31.42% and the collision risk is reduced from 43.14% to 5.54%.
It shows that the optimization method of needle shape based on feature selection is effective for reducing needle tip impact damage during integrated piercing.
American Psychological Association (APA)
Yang, Jingzhao& Dong, Jiuzhi& Jiang, Xiuming& Chen, Yunjun. 2020. Reducing the Collision Damage Done to the Tips of Steel Needles during Integrated Piercing by Using Shape Optimization with Feature Selection. Mathematical Problems in Engineering،Vol. 2020, no. 2020, pp.1-19.
https://search.emarefa.net/detail/BIM-1195652
Modern Language Association (MLA)
Yang, Jingzhao…[et al.]. Reducing the Collision Damage Done to the Tips of Steel Needles during Integrated Piercing by Using Shape Optimization with Feature Selection. Mathematical Problems in Engineering No. 2020 (2020), pp.1-19.
https://search.emarefa.net/detail/BIM-1195652
American Medical Association (AMA)
Yang, Jingzhao& Dong, Jiuzhi& Jiang, Xiuming& Chen, Yunjun. Reducing the Collision Damage Done to the Tips of Steel Needles during Integrated Piercing by Using Shape Optimization with Feature Selection. Mathematical Problems in Engineering. 2020. Vol. 2020, no. 2020, pp.1-19.
https://search.emarefa.net/detail/BIM-1195652
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1195652