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Title: Automated assemly of large composite preforms for reinforcement applications in aerostructures
Author: Tewfic, Tarik Mohamed
ISNI:       0000 0001 3516 4484
Awarding Body: Brunel University
Current Institution: Brunel University
Date of Award: 2004
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There is considerable interest in the use of textiles, which are known as dry fabrics, for the construction of structural preforms of varying complexity. Cost reduction is a key factor in the future expansion of textiles and this can, to a great extent, be achieved by automation of the preform assembly process. Non-Crimp-Fabrics (NCF) offer significant potential for the process automation, due to an increased deposition rate and high structural performance.This work is focused on the development of a novel methodology which can be used to generate a fully integrated automation cell to produce three dimensional (3D) components. Aautomation technique has been developed, which enables large reinforcement structures of I, C, J, and T shape to be readily produced for subsequent forming into required shapes when loaded into the mould. The preform is produced as a single piece, to reduce associated assembly and handling times. The proposed technique has been realised in design and implemented as a novel tool for forming the three-dimensional components in a single stroke for the aerospace applications. The resulting tool has been integrated into a fully automated manufacturing cell, providing an opportunity for a successful proof of principle application of such a device. The automated manufacturing cell has an integrated by robotic tacking device (RTD) which helps to produce preforms with a high degree of accuracy, where the fabrics are arranged in the required format to match the service loading of the component. Mechanical tests and numerical analyses have been conducted on a typical I-beam section to investigate the effects of both tacking position and the loading conditions on the consolidated product. Numerical analyses investigations have produced largely encourage results.
Supervisor: Sarhadi, M. Sponsor: Not available
Qualification Name: Thesis (Ph.D.) Qualification Level: Doctoral
EThOS ID:  DOI: Not available