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Published on: May 17, 2020
The Effect of Adhesive Layer Thickness on Joint Static Strength
Marek Rośkowicz1, Jan Godzimirski1, Andrzej Komorek2
1Faculty of Mechatronics, Armament and Aerospace, Military University of Technology, 00-908 Warsaw, Poland.
Adhesive layer thickness significantly impacts joint strength. Thicker layers (up to 0.17 mm) reduce failure stress, but an optimal thickness exists for maximizing adhesive joint strength, especially in shear loading.
Area of Science:
- Materials Science
- Mechanical Engineering
- Adhesion Science
Background:
- Adhesive joint strength is critically influenced by adhesive layer thickness, a factor not fully understood.
- Existing models lack precise understanding of how varying adhesive thickness affects joint performance under different loads.
Purpose of the Study:
- To develop analytical formulas for adhesive joint strength and coefficient.
- To investigate the influence of adhesive layer thickness on adhesive failure stress.
- To explain the phenomenon of optimal adhesive layer thickness in specific joint configurations.
Main Methods:
- Development of simplified analytical formulas for joint strength and coefficient.
- Experimental testing of butt joints to determine failure stress versus adhesive thickness.
- Finite Element (FE) method analysis of lap joints, incorporating non-linear adhesive behavior and plastic adherend strain.
Main Results:
- Experimental results show quasi-linear decrease in failure stress with increasing adhesive thickness up to 0.17 mm.
- Identification of an optimal adhesive layer thickness for maximizing strength in certain joint types, like those under shear.
- FE analysis validated experimental findings, correlating calculated stresses with experimentally determined failure stresses.
Conclusions:
- Adhesive layer thickness is a critical design parameter affecting joint strength.
- An optimal adhesive thickness exists, balancing load distribution and material properties for maximum joint performance.
- The study provides a framework for predicting and optimizing adhesive joint behavior based on layer thickness.
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