T
Tom Verstraete
Researcher at Von Karman Institute for Fluid Dynamics
Publications - 99
Citations - 1208
Tom Verstraete is an academic researcher from Von Karman Institute for Fluid Dynamics. The author has contributed to research in topics: Turbine & Gas compressor. The author has an hindex of 17, co-authored 92 publications receiving 1027 citations. Previous affiliations of Tom Verstraete include Queen Mary University of London & Ghent University.
Papers
More filters
Journal ArticleDOI
Multidisciplinary Optimization of a Radial Compressor for Microgas Turbine Applications
TL;DR: In this paper, a multidisciplinary optimization system and its application to the design of a small radial compressor impeller are presented, which uses a genetic algorithm and artificial neural network to find a compromise between the conflicting demands of high efficiency and low centrifugal stresses in the blades.
Journal ArticleDOI
Multidisciplinary Optimization of a Turbocharger Radial Turbine
TL;DR: In this article, the authors present a multidisciplinary design optimization of a turbocharger radial turbine for automotive applications with the aim to improve two major manufacturer requirements: the total-to-static efficiency and the moment of inertia of the radial turbine impeller.
Journal ArticleDOI
Influence of Specimen Geometry on Split Hopkinson Tensile Bar Tests on Sheet Materials
TL;DR: In this paper, an extensive series of Hopkinson tests on a steel sheet material using different specimen geometries is performed, and an advanced optical technique is used to obtain the true distribution of the deformation along the length of the specimen.
Journal ArticleDOI
Design and Optimization of the Internal Cooling Channels of a High Pressure Turbine Blade—Part II: Optimization
TL;DR: In this article, the authors presented the aerothermal optimization of the first stage rotor blade of an axial HP turbine by means of the conjugate heat transfer method (CHT) and lifetime model.
Journal ArticleDOI
Optimization of a U-Bend for Minimal Pressure Loss in Internal Cooling Channels: Part I—Numerical Method
TL;DR: In this article, a U-bend for serpentine internal cooling channels optimized for minimal pressure loss is presented, which is achieved by means of a numerical optimization method that uses a metamodel assisted differential evolution algorithm in combination with an incompressible Navier Stokes solver.