Research on the Surface-State Parameterization of a Refill Friction Stir Spot Welding Joint Made of Aluminum Alloy and Its Connection to the Fracture Mode.

Hua Zhong, Guocheng Xu, Juan Dong, Xiaopeng Gu, Qiuyue Fan

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Article in Materials (Basel, Switzerland), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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5 · Who and what money

Authors and funding

5 authors.

Hua ZhongDepartment of Materials Science and Engineering, Jilin University, Changchun 130025, China.

Guocheng XuDepartment of Materials Science and Engineering, Jilin University, Changchun 130025, China.

Juan DongDepartment of Materials Science and Engineering, Jilin University, Changchun 130025, China.

Xiaopeng GuDepartment of Materials Science and Engineering, Jilin University, Changchun 130025, China.ORCID 0000-0001-9992-5967

Qiuyue FanFujian Provincial Key Laboratory of Welding Quality Intelligent Evaluation, Longyan University, Longyan 364012, China.

Funding

the central government guided local science and technology development fund 2022L3065

6 · The paper itself

Abstract

Surface features are crucial for assessing welding quality because they serve as an intuitive depiction of the quality of the joint and have a major influence on welding strength. According to the characteristics of the refill friction stir spot welding (RFSSW) process and an analysis of the surface-state and internal morphology of RFSSW joints, a method of predicting the mechanical properties of RFSSW joints based on surface-state characteristics was proposed. In this paper, a laser-ranging sensor was used to characterize the surface state of RFSSW joints, and parametric characterization methods of the surface-state features of RFSSW joints were proposed. On this basis, a support vector machine was used to predict and analyze the fracture mode of RFSSW joints. The accuracy of the analysis of the test samples reached 95.8%. This paper provides a more efficient and convenient new method for the quality evaluation of RFSSW joints.

Indexed as

quality evaluationrefilled friction stir spot weldingsupport vector machinesurface testing

Identifiers

PMID38591636

DOI10.3390/ma17030762

PMCPMC10856305

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LicenceCC BY

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.