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Weight and Cost Multi-Objective Optimization of Hybrid Composite Sandwich Structures

Salem, Adel I.
http://rave.ohiolink.edu/etdc/view?acc_num=dayton1478637482819839

Abstract Details

2016, Doctor of Philosophy (Ph.D.), University of Dayton, Mechanical Engineering.
Producing a light structure with relatively affordable cost without sacrificing strength has always been a challenging task for designers. Using a hybrid material approach provides an expanded methodology to combine materials having different costs and properties (for example, combining fibers with high cost and high stiffness such as carbon with low cost, less stiffness fibers such as glass). Hence, a comparative approach is useful for the evaluation of design solutions in terms of weight and cost. In this study, a methodology for a combined weight and cost optimization for sandwich plates with hybrid composite facesheets and foam core is presented. The weight and cost of the hybrid sandwich plates considered are the objective functions subject to required equality constraints based on the bending and torsional stiffnesses. The hybrid sandwich plates considered consisted of thin hybrid composite facesheets, symmetric with respect to the mid-plane of the sandwich plates. The facesheets considered consisted of carbon/epoxy and E-glass/epoxy fiber reinforced polymer. The layup of the fibers of the facesheets was restricted to some discrete sets of plies layup having orientation angles of 0, ±45 and 90. Two different densities (with two difference costs) of polyisocyanurate closed-cell foam core were studied. Single and multi-objective optimization techniques were performed to obtain the optimum design values. An Interior-Point Algorithm was used to perform the single objective optimization. For the multi-objective cases, both the weight and the cost of the hybrid sandwich plate were minimized simultaneously. The normalized normal constraint method with Pareto filter was used to generate the Pareto frontier trade-off curve. The Pareto trade-off curve was constructed by optimizing a sequence of combining weight and cost objective functions, while every function was minimized using the Active Set Algorithm. Only the cost of the fibers and the core materials were considered in this study. A key finding is that design curves can be created showing that hybrid solutions can be preferred when both cost and weight are considered simultaneously.
Steven Denoldson, Mr/ Ph.D (Advisor)
Thomas Whitney, Mr/ Ph.D (Committee Member)
Rebecca Hoffman, Miss/ Ph.D (Committee Member)
Muhammed Islam, Mr/ Ph.D (Committee Member)
198 p.
Civil Engineering; Mechanical Engineering
cost and weight, hybrid, multi-objective optimization, normalized normal constraint method,sandwich structure

Recommended Citations

Citations

  • Salem, A. I. (2016). Weight and Cost Multi-Objective Optimization of Hybrid Composite Sandwich Structures [Doctoral dissertation, University of Dayton]. OhioLINK Electronic Theses and Dissertations Center. http://rave.ohiolink.edu/etdc/view?acc_num=dayton1478637482819839

    APA Style (7th edition)

  • Salem, Adel. Weight and Cost Multi-Objective Optimization of Hybrid Composite Sandwich Structures. 2016. University of Dayton, Doctoral dissertation. OhioLINK Electronic Theses and Dissertations Center, http://rave.ohiolink.edu/etdc/view?acc_num=dayton1478637482819839.

    MLA Style (8th edition)

  • Salem, Adel. "Weight and Cost Multi-Objective Optimization of Hybrid Composite Sandwich Structures." Doctoral dissertation, University of Dayton, 2016. http://rave.ohiolink.edu/etdc/view?acc_num=dayton1478637482819839

    Chicago Manual of Style (17th edition)

dayton1478637482819839
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© 2016, all rights reserved.
This open access ETD is published by University of Dayton and OhioLINK.