Integrated modelling method of bonding strength and residual life prediction for selective repair structure of aluminium alloy-Reference-Cited by-同舟云学术

Integrated modelling method of bonding strength and residual life prediction for selective repair structure of aluminium alloy

Published:2022-01-04 Issue:11 Volume:236 Page:6130-6140
ISSN:0954-4062
Container-title:Proceedings of the Institution of Mechanical Engineers, Part C: Journal of Mechanical Engineering Science
language:en
Short-container-title:Proceedings of the Institution of Mechanical Engineers, Part C: Journal of Mechanical Engineering Science

Author:

Liao Yashi¹²,Zhang Xuhui¹^ORCID,Wang Zhineng³,He Miaolei¹

Affiliation:

1. College of Engineering and Design, Hunan Normal University, Changsha, China

2. Light Alloy Research Institute, Central South University, Changsha, China

3. School of Mechanical Engineering, Hunan University of Science and Technology, Xiangtan, China

Abstract

To accurately describe and predict the overall strength and residual life of selective repair bonded structures, an integrated simulation model of crack propagation including bonding strength is established. Based on two methods, an integrated simulation model including a cohesive zone method model for predicting the residual life of a selective repair structure is established. By comparing the computational efficiency and accuracy of both the stress intensity factor and residual life of selective repair structures using different calculation methods, the modelling scheme is optimised. Based on this optimised scheme, the effect of adhesive thickness on the stress intensity factor and residual life of the repair structure is analysed. FM94 adhesive measuring 0.2–0.4 mm thickness is used to decrease the stress intensity factor and improve the remaining life such that material utilisation efficiency is guaranteed.

Funder

Natural Science Foundation of Hunan Province

Publisher

SAGE Publications

Subject

Mechanical Engineering

Link

http://journals.sagepub.com/doi/pdf/10.1177/09544062211063153

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