Squeezing force based digital feature analysis and qualified parameter range determination for percussive riveting skills training

Abstract

In manual percussive riveting training, inconsistencies often occur: either the driven head meets quality standards but rivet/hole interference does not, or vice versa. This work presents the squeezing force-based training platform to enhance trainee skills and improve training efficiency. The quantitative relationship between squeezing force and key joint quality metrics (driven head morphology and rivet/hole interference) is established through systematic experiments. Qualified squeezing force thresholds are determined via experimental design and data analysis, enabling the algorithm to ensure trainees consistently produce joints with both qualified driven head morphology and rivet/hole interference. The comparative training results proves the effectiveness of the proposed squeezing force-based training method. The squeezing force based digital feature analysis and qualified parameter range determination procedures outlined in this work are quite general and can be used for any material/rivet combinations in percussive riveting skills training.

Keywords

percussive riveting skills training squeezing force features riveting impulse qualified parameter ranges

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