Modeling the pull-off force of a mushroom-shaped fibrillar adhesive in dynamic detachment

被引:0
|
作者
Ji, Ru-Guo [1 ]
Yuan, Yue-Yu [1 ]
Liu, Xiao-Feng [1 ]
Zhang, Xiao-Long [2 ,3 ]
Cai, Guo-Ping [1 ]
机构
[1] Shanghai Jiao Tong Univ, State Key Lab Ocean Engn, Key Lab Hydrodynam, Minist Educ, Shanghai 200240, Peoples R China
[2] Shanghai Aerosp Control Technol Inst, Shanghai 201109, Peoples R China
[3] Shanghai Key Lab Aerosp Intelligent Control Techno, Shanghai 201109, Peoples R China
基金
美国国家科学基金会;
关键词
Mushroom-shaped fibrillar adhesives; Dynamic detachment; Preload; Dwell time; Retraction velocity; MECHANICS; CONTACTS;
D O I
10.1016/j.ijsolstr.2024.113150
中图分类号
O3 [力学];
学科分类号
08 ; 0801 ;
摘要
Fibrillar adhesive, as a novel biomimetic controllable adhesive, holds broad application prospects in the fields of medical devices, aerospace, and robotics. Evaluating the critical detachment force (pull-off force) of such materials, that is, establishing a pull-off force model, is one of the key issues to be addressed in the application process. The experimental results show that preload, dwell time, and retraction velocity are key factors affecting critical detachment force. However, there is no model that can take into account the influence of these three factors. In order to accurately evaluate the adhesion performance of fibrillar adhesive, this study took mushroom- shaped fibrillar adhesive (MFSA) as the object and carried out theoretical and experimental research on the modeling problem of its pull-off force. First, we derived a new pull-off force model based on the Gent & Schultz hypothesis and linear elastic fracture theory. In this model, the relative contact area is introduced to quantify the impact of preload and dwell time on the pull-off force, and the rate-dependent properties of the effective adhesion work are used to describe the impact of retraction velocity on the pull-off force. Then, the validity of the model is experimentally investigated. The experimental results show that this paper' s model can accurately predict the pull-off force of MFSA after parameter identification, thereby verifying the model's effectiveness. Finally, we used the pull-off force model to study the effects of model parameters on pull-off force.
引用
收藏
页数:15
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