Quantitative Evaluation of Rotational Wood Welding Joint Strength Based on Regression of Data Sets
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...
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| Main Authors: | , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
North Carolina State University
2025-02-01
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| Series: | BioResources |
| Subjects: | |
| Online Access: | https://ojs.bioresources.com/index.php/BRJ/article/view/24338 |
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| Summary: | 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. |
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| ISSN: | 1930-2126 |