0
Research Papers

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

[+] Author and Article Information
A. Shanian1

 School of Engineering and Applied Sciences, Harvard University, Cambridge, MA 02138,

A. S. Milani

 School of Engineering, University of British Columbia-Okanagan, Kelowna, BC, V1V 1V7, Canada

N. Vermaak

 Materials Department, University of California Santa Barbara, Santa Barbara, CA 93106

K. Bertoldi

 School of Engineering and Applied Sciences, Harvard University, Cambridge, MA 02138

T. Scarinci

 Rolls-Royce Canada, 9500 Cote de Liesse, Dorval, QC, H8T 1A2 Canada

M. Gerendas

 Rolls-Royce Deutschland Ltd. & Co KG, Dahlewitz, 15827, Germany

1

Corresponding author.

J. Appl. Mech 79(6), 061019 (Sep 28, 2012) (8 pages) doi:10.1115/1.4006461 History: Received July 06, 2011; Revised March 19, 2012; Posted March 29, 2012; Published September 26, 2012; Online September 28, 2012

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.

FIGURES IN THIS ARTICLE
<>
Copyright © 2012 by American Society of Mechanical Engineers
Your Session has timed out. Please sign back in to continue.

References

Figures

Grahic Jump Location
Figure 5

Ranking and classification of the candidate superalloy materials

Grahic Jump Location
Figure 4

Schematic of the card play by decision makers in the revised Simos’ procedure (u is the distance between two adjacent subsets and is defined from the z-ratio)

Grahic Jump Location
Figure 3

FEA results for the H282 case; the contour shows the stress distribution in MPa for one-quarter of the unit cell. A line profile of the Von Mises stress is plotted as a function of the nondimensional distance through the thickness t of the combustor wall (including both the TBC and superalloy).

Grahic Jump Location
Figure 2

FEA results for the H282 case; the contour shows the nodal temperature (K) for one-quarter of the unit cell. A line profile of the temperature is plotted as a function of the nondimensional distance through the thickness t of the combustor wall (including both the TBC and superalloy).

Grahic Jump Location
Figure 1

(a) Unit-cell model using a 1/180th sector (the unit-cell view has been scaled for better visualization); the top surface of the wall is coated with a 300 micron 7 wt. % YSZ thermal barrier coating. (b) A prototypical annular combustor [21].

Tables

Errata

Discussions

Some tools below are only available to our subscribers or users with an online account.

Related Content

Customize your page view by dragging and repositioning the boxes below.

Related Journal Articles
Related eBook Content
Topic Collections

Sorry! You do not have access to this content. For assistance or to subscribe, please contact us:

  • TELEPHONE: 1-800-843-2763 (Toll-free in the USA)
  • EMAIL: asmedigitalcollection@asme.org
Sign In