Title

Design Optimization Of Gas Turbine Blade Internal Cooling Channels

Keywords

Blade cooling channel; Evolutionary algorithms; Gas turbine; Multiobjective optimization; Numerical simulation; Ribs

Abstract

Gas turbine blade cooling system design is a multidisciplinary, iterative, manual and often tedious task involving complex relationships among multiple objectives and a set of design variables. Typical blade design requires a broad range of expertise in the materials, structural, heat transfer, and cost optimization disciplines. The multiple design objectives involved are often conflicting and must be solved simultaneously with equal importance. The traditional approaches researchers use scalarize the multiple objectives into a single objective using a weight vector, thus transforming the original multiple objective design problem into a single objective problem. However, a known drawback of such an approach is that the weights are subjectively selected. This research describes an approach that addresses the shortcomings of existing traditional approaches of the optimization of blade cooling configuration design. Specifically, two design performance objectives and a set of design decision variables that influence the performance objectives are studied. This proposed approach automatically generates the most appropriate blade cooling channel design specifications that simultaneously optimize the two design objectives.

Publication Date

1-1-2013

Publication Title

IIE Annual Conference and Expo 2013

Number of Pages

2273-2282

Document Type

Article; Proceedings Paper

Personal Identifier

scopus

Socpus ID

84900342841 (Scopus)

Source API URL

https://api.elsevier.com/content/abstract/scopus_id/84900342841

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