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    Effect of matrix voids, fibre misalignment and thickness variation on multi-objective robust optimization of carbon/glass fibre-reinforced hybrid composites under flexural loading

    Access Status
    Fulltext not available
    Authors
    Kalantari, M.
    Dong, Jonathan
    Davies, Ian
    Date
    2017
    Type
    Journal Article
    
    Metadata
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    Citation
    Kalantari, M. and Dong, J. and Davies, I. 2017. Effect of matrix voids, fibre misalignment and thickness variation on multi-objective robust optimization of carbon/glass fibre-reinforced hybrid composites under flexural loading. Composites Part B-Engineering. 123: pp. 136-147.
    Source Title
    Composites Part B-Engineering
    DOI
    10.1016/j.compositesb.2017.05.022
    ISSN
    1359-8368
    School
    Department of Mechanical Engineering
    URI
    http://hdl.handle.net/20.500.11937/58614
    Collection
    • Curtin Research Publications
    Abstract

    © 2017 The robust and optimal design of carbon/glass fibre-reinforced epoxy hybrid composite laminates under the constraint of a specified minimum flexural strength was investigated in this study. Two conflicting objectives, minimizing material cost and weight, were considered with the design variables being fibre type, fibre orientation angle and fibre volume fraction of the laminas. Three sources of uncertainties, namely, fibre misalignment, lamina thickness variation and the presence of matrix voids were incorporated into the model. This multi-objective robust optimization problem was solved by combining a modified version of the non-dominated sorting genetic algorithm (NSGA-II) with a simple genetic algorithm (GA) as an anti-optimizer. Pareto optimal and robust solutions were found for different levels of minimum flexural strength and the significance of each uncertainty source on the optimal cost and weight of the optimal designs were investigated by conducting analysis of variance (ANOVA) tests. The results indicated that, in general, all three uncertainties affected the cost and weight of the optimal designs with the effect of voids being more critical for void contents of greater than 2%.

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