Search engine for discovering works of Art, research articles, and books related to Art and Culture
ShareThis
Javascript must be enabled to continue!

Turbomachinery Active Subspace Performance Maps

View through CrossRef
Turbomachinery active subspace performance maps are 2D contour plots that illustrate the variation of key flow performance metrics with different blade designs. While such maps are easy to construct for design parameterizations with two variables, in this paper maps will be generated for a fan blade with twenty-five design variables. Turbomachinery active subspace performance maps combine active subspaces — a new set of ideas for dimension reduction — with fundamental turbomachinery aerodynamics and design spaces. In this paper, contours of (i) cruise efficiency, (ii) cruise pressure ratio, (iii) maximum climb flow capacity and (iv) sensitivity to manufacturing variations, are plotted as objectives for the fan. These maps are then used to infer pedigree design rules: how best to increase fan efficiency; how best to desensitize blade aerodynamics to the impact of manufacturing variations? In the present study, the former required both a reduction in pressure ratio and flow capacity — leading to a reduction of the strength of the leading edge bow wave — while the latter required strictly a reduction in flow capacity. While such pedigree rules can be obtained from first principles, in this paper these rules are derived from the active subspaces. This facilitates a more detailed quantification of the aerodynamic trade-offs. Thus, instead of simply stating that a particular design is more sensitive to manufacturing variations; or that it lies on a hypothetical ‘efficiency cliff’, this paper seeks to visualize, quantify and make precise such notions of turbomachinery design.
Title: Turbomachinery Active Subspace Performance Maps
Description:
Turbomachinery active subspace performance maps are 2D contour plots that illustrate the variation of key flow performance metrics with different blade designs.
While such maps are easy to construct for design parameterizations with two variables, in this paper maps will be generated for a fan blade with twenty-five design variables.
Turbomachinery active subspace performance maps combine active subspaces — a new set of ideas for dimension reduction — with fundamental turbomachinery aerodynamics and design spaces.
In this paper, contours of (i) cruise efficiency, (ii) cruise pressure ratio, (iii) maximum climb flow capacity and (iv) sensitivity to manufacturing variations, are plotted as objectives for the fan.
These maps are then used to infer pedigree design rules: how best to increase fan efficiency; how best to desensitize blade aerodynamics to the impact of manufacturing variations? In the present study, the former required both a reduction in pressure ratio and flow capacity — leading to a reduction of the strength of the leading edge bow wave — while the latter required strictly a reduction in flow capacity.
While such pedigree rules can be obtained from first principles, in this paper these rules are derived from the active subspaces.
This facilitates a more detailed quantification of the aerodynamic trade-offs.
Thus, instead of simply stating that a particular design is more sensitive to manufacturing variations; or that it lies on a hypothetical ‘efficiency cliff’, this paper seeks to visualize, quantify and make precise such notions of turbomachinery design.

Related Results

On Subspace-recurrent Operators
On Subspace-recurrent Operators
In this article, subspace-recurrent operators are presented and it is showed that the set of subspace-transitive operators is a strict subset of the set of subspace-recurrent opera...
Optimization algorithm for omic data subspace clustering
Optimization algorithm for omic data subspace clustering
Subspace clustering identifies multiple feature subspaces embedded in a dataset together with the underlying sample clusters. When applied to omic data, subspace clustering is a ch...
Turbomachinery Simulation Impact on Design, Understanding, and Optimization
Turbomachinery Simulation Impact on Design, Understanding, and Optimization
Abstract This paper presents the impact of Turbomachinery Simulation from simple analytical simulations to high fidelity CFD and Finite Element Analyses on the desig...
Subspace Complexity Reduction in Direction-of-Arrival Estimation via the RASA Algorithm
Subspace Complexity Reduction in Direction-of-Arrival Estimation via the RASA Algorithm
The complexity and scale of contemporary datasets are increasing, making the need for reliable and effective subspace processing more pressing. In array signal processing, the qual...
The Effects of Map Reading Expertise and Map Type on Eye Movements in Map Comparison Tasks
The Effects of Map Reading Expertise and Map Type on Eye Movements in Map Comparison Tasks
Comparing maps of different geographical phenomena, or maps of the same geographical phenomenon at different points in time, is a frequent task in many disciplines. The process of ...
The Effects of Map Reading Expertise and Map Type on Eye Movements in Map Comparison Tasks
The Effects of Map Reading Expertise and Map Type on Eye Movements in Map Comparison Tasks
Comparing maps of different geographical phenomena, or maps of the same geographical phenomenon at different points in time, is a frequent task in many disciplines. The process of ...
A subspace based subspace inclusion graph on vector space
A subspace based subspace inclusion graph on vector space
Let $\mathscr{W}$ be a fixed $k$-dimensional subspace of an $n$-dimensi\-onal vector space $\mathscr{V}$ such that $n-k\geq1.$ In this paper, we introduce a graph structure, called...
On Absolute and Quantitative Subspace Theorems
On Absolute and Quantitative Subspace Theorems
Abstract The Absolute Subspace Theorem, a vast generalization and a quantitative improvement of Schmidt’s Subspace Theorem, was first established by Evertse and Schl...

Back to Top