Print Email Facebook Twitter Optimum Design of Steered Fibre Composite Cylinders with Arbitrary Cross-sections Title Optimum Design of Steered Fibre Composite Cylinders with Arbitrary Cross-sections Author Khani, A. Contributor Gurdal, Z. (promotor) Faculty Aerospace Engineering Department Aerospace Structures and Computational Mechanics Group Date 2013-12-10 Abstract Automated fibre placement (AFP) machines are able to place simultaneously several bundles of fibres, called tows, on a surface. Using AFP machines, it is also possible to manufacture composite laminates with fibres placed in curvilinear paths. The fibre orientations and stiffness properties of these laminates are spatially varied and hence they are called variable stiffness (VS) laminates in contrast to the traditional laminates with straight fibres which are called constant stiffness (CS) laminates. Past research has shown that the structural performance of laminated composite structures can be improved by spatial tailoring of laminate stiffness. One of the widely used structural components in aerospace industry are cylindrical shells. In this thesis, a computationally efficient framework was developed for circumferential laminate stiffness tailoring of unstiffened and longitudinally stiffened cylindrical shells with arbitrary cross sections to maximise the buckling capacity with consideration of strength constraints. In addition, the AFP manufacturing constraint on the maximum curvature of curvilinear fibre paths was considered. This constraint was applied to avoid wrinkling of the fibres placed inside the turn of a curved tow. The aforementioned framework utilised computationally efficient analysis and optimisation tools. Subject variable stiffnesscylindrical shellsfibre steeringfibre placementbucklingstrength To reference this document use: https://doi.org/10.4233/uuid:6d9c2f9e-358f-4398-8daa-c37004c816ae Embargo date 2014-12-10 ISBN 9789461085627 Part of collection Institutional Repository Document type doctoral thesis Rights (c) 2013 Khani, A. Files PDF PhD_thesis_A_Khani.PDF 55.03 MB Close viewer /islandora/object/uuid:6d9c2f9e-358f-4398-8daa-c37004c816ae/datastream/OBJ/view