S
Scott D. Hunter
Researcher at GE Aviation
Publications - 5
Citations - 111
Scott D. Hunter is an academic researcher from GE Aviation. The author has contributed to research in topics: Turbine & Aerodynamics. The author has an hindex of 5, co-authored 5 publications receiving 106 citations.
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Proceedings ArticleDOI
Endwall Cavity Flow Effects on Gaspath Aerodynamics in an Axial Flow Turbine: Part I — Experimental and Numerical Investigation
TL;DR: In this paper, the authors present the experimental and computational results from an investigation of the endwall cavity and gaspath flow interaction in a low-pressure turbine and compare the results with test data.
Proceedings ArticleDOI
Coarse Grid Modeling of Turbine Film Cooling Flows Using Volumetric Source Terms
TL;DR: In this paper, a volumetric source term distribution is used in a coarse grid calculation that can model the small-scale and three-dimensional effects present in turbine film cooling flows.
Proceedings ArticleDOI
Endwall Cavity Flow Effects on Gaspath Aerodynamics in an Axial Flow Turbine: Part II — Source Term Model Development
Scott D. Hunter,Paul O. Orkwis +1 more
TL;DR: In this paper, an experimental and computational results from an investigation of the endwall cavity and gaspath flow interaction in a low-pressure turbine were presented, and the development of a source term model for a steady bladerow solver that simulates endwall cavities flows in low pressure turbine is reviewed.
Proceedings ArticleDOI
Multistage Simulations of the GE90 Turbine
Mark G. Turner,Paul H. Vitt,David A. Topp,Sohrab Saeidi,Scott D. Hunter,Lyle D. Dailey,Tim Beach +6 more
TL;DR: In this article, the average passage approach has been used to analyze three multistage configurations of the GE90 turbine, including a high pressure turbine, a low pressure turbine and a full turbine configuration comprising 18 blade rows.
Proceedings ArticleDOI
Toward Modeling the Concurrent Design of Aircraft Engine Turbines
TL;DR: Results show that, for detailed aerodynamic analysis, the system can reduce the cycle time from days to hours, and in many cases of preliminary design, TAD can obtain better results quicker than the optimum obtained manually.