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Journal of the Korean Society of Manufacturing Technology Engineers - Vol. 33 , No. 1

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Journal of the Korean Society of Manufacturing Technology Engineers - Vol. 29, No. 5, pp. 361-369
Abbreviation: J. Korean Soc. Manuf. Technol. Eng.
ISSN: 2508-5107 (Online)
Print publication date 15 Oct 2020
Received 09 Aug 2020 Revised 22 Aug 2020 Accepted 28 Aug 2020
DOI: https://doi.org/10.7735/ksmte.2020.29.5.361
Robust Design and Tolerance Simulation of Bolt-fastening Axial Force-monitoring Washer using FEM Analysis
Joon Soo Kim^a ; Won Tae Kwon^a^{, *}
aMechanical and Information Eng. Dept., Univ. of Seoul


Correspondence to : ^*Tel.: +82-2-6490-2386 E-mail address: kwon@uos.ac.kr (Won Tae Kwon).



Funding Information ▼ University of Seoul

Abstract

When fixing a structure using bolts, it is crucial to apply sufficient bolt axial force. Hence, several methods have been proposed to measure the applied axial force exerted on the bolt. However, these methods are either expensive or complicated. To overcome these problems, we proposed a method to measure the axial force by analyzing the change in shape of the washer. The basic shape of the washer was designed using a commercial software and redesigned into the most robust form according to the change in tolerance while measuring a force of 200 kN. To achieve this, the sensitivity and interaction of each parameter was examined to determine the appropriate parameter values. The adequacy of the final model was verified using the additive model and Monte Carlo method. The result s proved that the proposed model had high reliability and robustness.


Keywords: Bolt axial force, Monitoring, Washer, Tolerance simulation, Robust design

Acknowledgments

This work was supported by the 2019 Sabbath Professor Research Fund of the University of Seoul.

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Joon Soo Kim

M.Sc. in the Department of Mechanical and Information Engineering, University of University.His research interest is Optimization of design

E-mail: chexary6@uos.ac.kr

Won Tae Kwon

Professor in the Department of Mechanical and Information Engineering, University of University.His research interest is micro machining and machining process optimization

E-mail: kwon@uos.ac.kr