Variable Gap MAG Welding Penetration Control Using Rough Set Knowledge Acquisition

Zhiqiang Feng (), Hao Yuan, Junfeng Han, Na Lv, Xin Li and Quan Li
Additional contact information
Zhiqiang Feng: School of Mechanical and Marine Engineering, Beibu Gulf University, Qinzhou 535011, China
Hao Yuan: School of Mechanical and Marine Engineering, Beibu Gulf University, Qinzhou 535011, China
Junfeng Han: School of Mechanical and Marine Engineering, Beibu Gulf University, Qinzhou 535011, China
Na Lv: School of Materials Science and Engineering, Shanghai Jiao Tong University, Shanghai 200240, China
Xin Li: School of Mechanical and Marine Engineering, Beibu Gulf University, Qinzhou 535011, China
Quan Li: School of Mechanical and Marine Engineering, Beibu Gulf University, Qinzhou 535011, China

Mathematics, 2023, vol. 11, issue 21, 1-16

Abstract: The establishment of the correspondence between the important features of the topside weld pool and the penetration state is a key link in penetration control. This article presents a scheme of variable gap welding penetration control based on rough-fuzzy modeling. By utilizing the basic concepts of variable precision rough sets and conditional information entropy, relevant algorithms for attribute reduction and rule extraction in decision information systems are addressed. Raw data for modeling are obtained through current–gap combination experiments, and then rough-set-based knowledge acquisition algorithms are used to generate classification rules for the penetration state. Based on the correspondence between the important features of the topside pool and the penetration state, a fuzzy control model is established. Welding experiments under variable gaps are conducted to examine the proposed control scheme, and the results indicate that the weld has good penetration and meets the requirements of welding specifications.

Keywords: rough set; knowledge acquisition; penetration control; fuzzy modeling; weld gap (search for similar items in EconPapers)
JEL-codes: C (search for similar items in EconPapers)
Date: 2023
References: View complete reference list from CitEc
Citations:

Downloads: (external link)
https://www.mdpi.com/2227-7390/11/21/4504/pdf (application/pdf)
https://www.mdpi.com/2227-7390/11/21/4504/ (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:gam:jmathe:v:11:y:2023:i:21:p:4504-:d:1271982

Access Statistics for this article

Mathematics is currently edited by Ms. Emma He

More articles in Mathematics from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().