A butt shear joint (BSJ) specimen for high throughput testing of adhesive bonds

• Type: Article in International Scientific Journal
• Date: 2023

Authors

Kang, C (Author) Other; Machado, JJM (Author) FEUP; Sekiguchi, Y (Author) Other; Ji, M (Author) Other; Sato, C (Author) Other; Naito, M (Author) Other

Journal

Title: Journal of Adhesion

Vol. 99

Pages: 2080-2096

ISSN: 0021-8464

Publisher: Taylor & Francis

Indexing

ISI Web of Knowledge - 0 Citations

Scopus

Other information

Authenticus ID: P-00X-WTG

DOI: 10.1080/00218464.2023.2170794

Abstract (EN): Machine learning is extensively used in material research and development, including adhesion technology. However, it requires a large dataset to train the models for optimizing, developing, and designing new adhesives. This study proposes a novel testing machine that enables quick high-throughput measurements of the shear strength of adhesively bonded joints. A small cylindrical butt shear joint (BSJ) specimen placed in a holder was pushed by a metal specimen pusher until failure; during this process, the force and displacement were recorded. This testing machine can be used to quickly conduct the measurement by simply placing the specimen in a holder and pushing it. A comparison of the average shear strength measured by this method and that measured by single-lap shear tests, coupled with stress analysis using finite element simulation suggested that the proposed method can measure the shear strength more accurately, where a higher level of pure shear can be achieved in the adhesive layers with a lower degree of stress concentration and smaller peeling stress at the extremities of the adhesives. This indicates that the shear strength of adhesively bonded joints can be measured quickly using the proposed testing method, thereby facilitating the development of new adhesives using machine learning.

Language: English

Type (Professor's evaluation): Scientific

No. of pages: 17