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Hier finden Sie wissenschaftliche Publikationen aus den FraunhoferInstituten. Effective model for the evaluation of compression flow of highviscous adhesives
 12th European Adhesion Conference and 4th LusoBrazilian Conference on Adhesion and Adhesives 2018. Book of Abstracts : 57 September 2018, Lisbon, Portugal Lisbon: Congress Centre of Instituto Superior Tecnico, 2018 ISBN: 9789898927248 S.97 
 European Adhesion Conference (EURADH) <12, 2018, Lisbon> LusoBrazilian Conference on Adhesion and Adhesives <4, 2018, Lisbon> 

 Englisch 
 Abstract 
 Fraunhofer IFAM () 
Abstract
In bonding processes, the main influence for the resulting adhesive distribution after pressing is the adhesive used the surfaces to be bonded, the adhesive’s initial distribution pattern and the pressing process itself. Therein, a particular issue is the creation, and transport, of air bubbles during manufacturing that strongly influences the joint’s strength. Numerical simulation of the flow in these processes [1] is most commonly based on Computer Fluid Dynamics (CFD). In the general 3D case, these simulations are very complex, timeconsuming and are therefore rarely performed. Particular challenges stem from the usually thin layer of adhesive, which in turn requires extremely fine meshes, thus increasing the already heavy modelling cost. From another scientific discipline, the theory of lubricated friction contacts, it is known that the flow in narrow gaps can be approximated with the Reynolds equation which does not discretize the height direction, thus significantly reducing overall modelling cost [2].For frictional contacts, aforementioned simplification is numerically very efficient with respect to computational effort and convergence, and results in solutions very close to3DCFD simulations. This paper discusses the potential of this approach as a tool for describing the adhesive flows during pressing. It demonstrates that the theory of lubricated friction contacts is an interesting concept for a wide range of pressing process simulations.