Marcus Meyer
Rolls-Royce Deutschland
29 Papers
93 Citations
Marcus Meyer is an academic researcher from Rolls-Royce Deutschland. The author has contributed to research in topics: Turbine blade & Turbine. The author has an hindex of 9, co-authored 29 publications. Previous affiliations of Marcus Meyer include Rolls-Royce Motor Cars.
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Papers
Stabilisation of discrete steady adjoint solvers
TL;DR: A new implicit time- Stepping scheme which uses Runge-Kutta time-stepping and Krylov methods as a smoother inside FAS-cycle multigrid acceleration is proposed to stabilise the flow solver and its discrete adjoint counterpart.
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Robust Turbine Blade Optimization in the Face of Real Geometric Variations
Jan Kamenik,Ivan Voutchkov,David J. J. Toal,Andy J. Keane,Lars Högner,Marcus Meyer,R. A. Bates +6 more
TL;DR: Because of manufacturing variations, no real turbine blade exactly conforms to its nominal geometry, so even minimal deviations are known to affect aerodynamic performance, blade temperatures, and blade temperatures.
CAD-Based Adjoint Shape Optimisation of a One-Stage Turbine With Geometric Constraints
Shenren Xu,David Radford,Marcus Meyer,Jens-Dominik Müller +3 more
- 12 Aug 2015
TL;DR: In this article, an extension of the CAD-based parametrisation termed as NURBS-based Parametrization with Complex Constraints (NSPCC) is developed and applied to the aerodynamic shape optimisition of a one-stage high pressure turbine.
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Analysis of High Pressure Turbine Nozzle Guide Vanes Considering Geometric Variations
Lars Högner,Alkin Nasuf,Paul Voigt,Matthias Voigt,Konrad Vogeler,Marcus Meyer,Christopher Berridge,Frédéric Goenaga +7 more
- 13 Jun 2016
TL;DR: In this article, the impact of geometric variations of high pressure turbine (HPT) NGVs with respect to capacity change during the development process is quantified using reverse engineering (RE) methods.
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A parametric model for probabilistic analysis of turbine blades considering real geometric effects
TL;DR: In this article, a set of 500 new and used turbine blades, provided by Rolls-Royce Deutschland, were digitized with an optical scan system. And the variability (probability density functions and corresponding parameters) of the geometric parameters can be calculated according to the digitized geometries and the manufacturing process can be statistically analysed.
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