A Combined Finite Element-Multiple Criteria Optimization Approach for Materials Selection of Gas Turbine Components

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A Combined Finite Element-Multiple Criteria Optimization Approach for Materials Selection of Gas Turbine Components

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Title: A Combined Finite Element-Multiple Criteria Optimization Approach for Materials Selection of Gas Turbine Components
Author: Shanian, A.; Milani, Abbas S.; Vermaak, Natasha; Bertoldi, Katia; Scarinci, Tom; Gerendas, Miklos

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Citation: Shanian, A., A. S. Milani, N. Vermaak, K. Bertoldi, T. Scarinci, and M. Gerendas. 2012. A Combined Finite Element-Multiple Criteria Optimization Approach for Materials Selection of Gas Turbine Components. Journal of Applied Mechanics 79 (6): 061019.
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Abstract: The design of critical components for aerospace applications involves a number of conflicting functional requirements: reducing fuel consumption, cost, and weight, while enhancing performance, operability and robustness. As several materials systems and concepts remain competitive, a new approach that couples finite element analysis (FEA) and established multicriteria optimization protocols is developed in this paper. To demonstrate the approach, a prototypical materials selection problem for gas turbine combustor liners is chosen. A set of high temperature materials systems consisting of superalloys and thermal barrier coatings is considered as candidates. A thermo-mechanical FEA model of the combustor liner is used to numerically predict the response of each material system candidate. The performance of each case is then characterized by considering the material cost, manufacturability, oxidation resistance, damping behavior, thermomechanical properties, and the FEA postprocessed parameters relating to fatigue and creep. Using the obtained performance values as design criteria, an ELECTRE multiple attribute decision-making (MADM) model is employed to rank and classify the alternatives. The optimization model is enhanced by incorporating the relative importance (weighting factors) of the selection criteria, which is determined by multiple designers via a group decision-making process.
Published Version: doi:10.1115/1.4006461
Terms of Use: This article is made available under the terms and conditions applicable to Open Access Policy Articles, as set forth at http://nrs.harvard.edu/urn-3:HUL.InstRepos:dash.current.terms-of-use#OAP
Citable link to this page: http://nrs.harvard.edu/urn-3:HUL.InstRepos:11688789

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  • FAS Scholarly Articles [7470]
    Peer reviewed scholarly articles from the Faculty of Arts and Sciences of Harvard University
 
 

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