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Development of rules for the design of adhesively bonded fibre-reinforced plastic composite joints in aerospace applications.

Khan, Minhaj A. (2018) Development of rules for the design of adhesively bonded fibre-reinforced plastic composite joints in aerospace applications. Doctoral thesis, University of Surrey.

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Abstract

This thesis describes progression towards developing an enhanced design methodology for laminated composite bonded joints in aerospace applications. The premise of a universal failure criterion is impractical given the number of adhesive-adherend configurations available. However, for a finite number of joint configurations, design rules can be developed based on experimental test data and detailed finite element modelling. By using these techniques rather than the traditional, overly conservative knock-down factors, more of the performance of composite bonded joints can be accessed. While complex damage modelling techniques are available, the additional material data and analysis time required renders them not suitable for the vast majority of time-sensitive industrial applications. Initially, the work presented in this thesis experimentally studied the effect of the substrate material, substrate layup, adhesive material and adhesive thickness on several laminated composite bonded joint configurations. The corresponding failure surfaces were extensively analysed and failure modes identified. Following this, detailed FE models were developed to identify the trends associated with altering joint parameters. Finally, the stresses and strains within the adhesive and substrate were analysed at each joint’s respective failure loads to identify critical parameters, which would later be used to develop a Critical Parameter Method for evaluating joint performance. Once these parameters were consolidated, they were validated against a unique set of joints. The critical parameter approach was able to predict joint strength with an average error of 26% compared experimental strength. Traditional FE criterions presented an average error of 61% compared to experimental strength. After further consolidation, joint strength prediction reduced to within 3% of experimental strength using the Critical Parameter Method, representing a substantial improvement in predictive capabilities.

Item Type: Thesis (Doctoral)
Divisions : Theses
Authors :
NameEmailORCID
Khan, Minhaj A.
Date : 31 July 2018
Funders : EPSRC
Grant Title : EPSRC
Contributors :
ContributionNameEmailORCID
http://www.loc.gov/loc.terms/relators/THSCrocombe, A.D.a.crocombe@surrey.ac.uk
http://www.loc.gov/loc.terms/relators/THSAglietti, Guglielmog.aglietti@surrey.ac.uk
Viquerat, Andrewa.viquerat@surrey.ac.uk
Depositing User : Minhaj Khan
Date Deposited : 06 Aug 2018 08:07
Last Modified : 11 Dec 2018 11:24
URI: http://epubs.surrey.ac.uk/id/eprint/848672

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