Work

Quantitative evaluation of rotational wood welding joint strength based on regression of data sets

Year: 2025

Type: article

Abstract: This study aimed to enhance rotational wood welding technology by developing a simplified prediction model for pull-out strength. The key findings can offer a robust evaluation framework to advance rotational wood welding and expand its applications in woodworking. For instance, (1) A comprehensive database of 689 previously published trials was curated to identify key factors: substrate diameter, effective welded length, and substrate density. (2) Comparative analysis of test outcomes and predictive models revealed consistent trends, suggesting that modeling techniques for self-tapping wood screws could be applied to rotational wood welding joints. (3) Univariate linear regression validated the primary factors, leading to a multivariate model for predicting withdrawal capacity. Theoretical predictions closely matched empirical data, highlighting the model’s industrial applicability.

Source: BioResources

DOI: 10.15376/biores.20.2.2933-2948

Authors: Yun Xu, Xuejiao Wang, Aleksandr G. Chernykh, Roshchina I. Svetlana, Pavel S. Koval, Egor V. Danilov, Anatoly Y. Naichuk

Institutions: North China University of Water Resources and Electric Power, Zhengzhou Railway Vocational & Technical College, Saint Petersburg State University of Architecture and Civil Engineering, Vladimir State University, Brest State Technical University

Language: English

Topic: Wood Treatment and Properties

Subfield: Building and Construction

Field: Engineering

Domain: Physical Sciences

Open Access status: gold

Estimated APC paid: $1,452

OpenAlex ID: W4408306025

FWCI: 0.436

Cites:

Cited by: 1

Related to: 10